R-universe search: germany

hneth

unicol:The Colors of your University

Most universities use specific color combinations to express their unique brand identity. The 'unicol' package provides the colors and color palettes of various universities for easy plotting and printing in R. We collect and provide a diverse range of color palettes for creating scientific visualizations.

Maintained by Hansjoerg Neth. Last updated 7 months ago.

branding color color-palettes color-schemes corporate-design university-colors visual-identity

100.4 match 9 stars 6.58 score 10 scripts

r-forge

surveillance:Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena

Statistical methods for the modeling and monitoring of time series of counts, proportions and categorical data, as well as for the modeling of continuous-time point processes of epidemic phenomena. The monitoring methods focus on aberration detection in count data time series from public health surveillance of communicable diseases, but applications could just as well originate from environmetrics, reliability engineering, econometrics, or social sciences. The package implements many typical outbreak detection procedures such as the (improved) Farrington algorithm, or the negative binomial GLR-CUSUM method of Hoehle and Paul (2008) <doi:10.1016/j.csda.2008.02.015>. A novel CUSUM approach combining logistic and multinomial logistic modeling is also included. The package contains several real-world data sets, the ability to simulate outbreak data, and to visualize the results of the monitoring in a temporal, spatial or spatio-temporal fashion. A recent overview of the available monitoring procedures is given by Salmon et al. (2016) <doi:10.18637/jss.v070.i10>. For the retrospective analysis of epidemic spread, the package provides three endemic-epidemic modeling frameworks with tools for visualization, likelihood inference, and simulation. hhh4() estimates models for (multivariate) count time series following Paul and Held (2011) <doi:10.1002/sim.4177> and Meyer and Held (2014) <doi:10.1214/14-AOAS743>. twinSIR() models the susceptible-infectious-recovered (SIR) event history of a fixed population, e.g, epidemics across farms or networks, as a multivariate point process as proposed by Hoehle (2009) <doi:10.1002/bimj.200900050>. twinstim() estimates self-exciting point process models for a spatio-temporal point pattern of infective events, e.g., time-stamped geo-referenced surveillance data, as proposed by Meyer et al. (2012) <doi:10.1111/j.1541-0420.2011.01684.x>. A recent overview of the implemented space-time modeling frameworks for epidemic phenomena is given by Meyer et al. (2017) <doi:10.18637/jss.v077.i11>.

Maintained by Sebastian Meyer. Last updated 2 days ago.

cpp

60.6 match 2 stars 10.68 score 446 scripts 3 dependents

reinhardfurrer

spam:SPArse Matrix

Set of functions for sparse matrix algebra. Differences with other sparse matrix packages are: (1) we only support (essentially) one sparse matrix format, (2) based on transparent and simple structure(s), (3) tailored for MCMC calculations within G(M)RF. (4) and it is fast and scalable (with the extension package spam64). Documentation about 'spam' is provided by vignettes included in this package, see also Furrer and Sain (2010) <doi:10.18637/jss.v036.i10>; see 'citation("spam")' for details.

Maintained by Reinhard Furrer. Last updated 2 months ago.

fortran openblas cpp

15.3 match 1 stars 9.26 score 420 scripts 433 dependents

edzer

spacetime:Classes and Methods for Spatio-Temporal Data

Classes and methods for spatio-temporal data, including space-time regular lattices, sparse lattices, irregular data, and trajectories; utility functions for plotting data as map sequences (lattice or animation) or multiple time series; methods for spatial and temporal selection and subsetting, as well as for spatial/temporal/spatio-temporal matching or aggregation, retrieving coordinates, print, summary, etc.

Maintained by Edzer Pebesma. Last updated 2 months ago.

9.8 match 74 stars 13.23 score 628 scripts 69 dependents

earthyscience

REddyProc:Post Processing of (Half-)Hourly Eddy-Covariance Measurements

Standard and extensible Eddy-Covariance data post-processing (Wutzler et al. (2018) <doi:10.5194/bg-15-5015-2018>) includes uStar-filtering, gap-filling, and flux-partitioning. The Eddy-Covariance (EC) micrometeorological technique quantifies continuous exchange fluxes of gases, energy, and momentum between an ecosystem and the atmosphere. It is important for understanding ecosystem dynamics and upscaling exchange fluxes. (Aubinet et al. (2012) <doi:10.1007/978-94-007-2351-1>). This package inputs pre-processed (half-)hourly data and supports further processing. First, a quality-check and filtering is performed based on the relationship between measured flux and friction velocity (uStar) to discard biased data (Papale et al. (2006) <doi:10.5194/bg-3-571-2006>). Second, gaps in the data are filled based on information from environmental conditions (Reichstein et al. (2005) <doi:10.1111/j.1365-2486.2005.001002.x>). Third, the net flux of carbon dioxide is partitioned into its gross fluxes in and out of the ecosystem by night-time based and day-time based approaches (Lasslop et al. (2010) <doi:10.1111/j.1365-2486.2009.02041.x>).

Maintained by Thomas Wutzler. Last updated 4 months ago.

cpp

8.6 match 63 stars 11.22 score 163 scripts 16 dependents

ropensci

charlatan:Make Fake Data

Make fake data that looks realistic, supporting addresses, person names, dates, times, colors, coordinates, currencies, digital object identifiers ('DOIs'), jobs, phone numbers, 'DNA' sequences, doubles and integers from distributions and within a range.

Maintained by Roel M. Hogervorst. Last updated 1 months ago.

data dataset fake-data faker peer-reviewed

8.0 match 296 stars 10.06 score 180 scripts 1 dependents

zhukovyuri

SUNGEO:Sub-National Geospatial Data Archive: Geoprocessing Toolkit

Tools for integrating spatially-misaligned GIS datasets. Part of the Sub-National Geospatial Data Archive System.

Maintained by Yuri M. Zhukov. Last updated 10 months ago.

21.3 match 5 stars 3.42 score 8 scripts

epiforecasts

epinowcast:Flexible Hierarchical Nowcasting

Tools to enable flexible and efficient hierarchical nowcasting of right-truncated epidemiological time-series using a semi-mechanistic Bayesian model with support for a range of reporting and generative processes. Nowcasting, in this context, is gaining situational awareness using currently available observations and the reporting patterns of historical observations. This can be useful when tracking the spread of infectious disease in real-time: without nowcasting, changes in trends can be obfuscated by partial reporting or their detection may be delayed due to the use of simpler methods like truncation. While the package has been designed with epidemiological applications in mind, it could be applied to any set of right-truncated time-series count data.

Maintained by Sam Abbott. Last updated 11 months ago.

cmdstanr effective-reproduction-number-estimation epidemiology infectious-disease-surveillance nowcasting outbreak-analysis pandemic-preparedness real-time-infectious-disease-modelling stan

8.7 match 61 stars 7.88 score 65 scripts

epinowcast

epinowcast:Flexible Hierarchical Nowcasting

Tools to enable flexible and efficient hierarchical nowcasting of right-truncated epidemiological time-series using a semi-mechanistic Bayesian model with support for a range of reporting and generative processes. Nowcasting, in this context, is gaining situational awareness using currently available observations and the reporting patterns of historical observations. This can be useful when tracking the spread of infectious disease in real-time: without nowcasting, changes in trends can be obfuscated by partial reporting or their detection may be delayed due to the use of simpler methods like truncation. While the package has been designed with epidemiological applications in mind, it could be applied to any set of right-truncated time-series count data.

Maintained by Sam Abbott. Last updated 11 months ago.

cmdstanr effective-reproduction-number-estimation epidemiology infectious-disease-surveillance nowcasting outbreak-analysis pandemic-preparedness real-time-infectious-disease-modelling stan

8.7 match 61 stars 7.79 score 71 scripts

smiljanicm

dendrometeR:Analyzing Dendrometer Data

Various functions to import, verify, process and plot high-resolution dendrometer data using daily and stem-cycle approaches as described in Deslauriers et al, 2007 <doi:10.1016/j.dendro.2007.05.003>. For more details about the package please see: Van der Maaten et al. 2016 <doi:10.1016/j.dendro.2016.06.001>.

Maintained by Marko Smiljanic. Last updated 23 days ago.

17.9 match 3.41 score 13 scripts

dschulz13

deseats:Data-Driven Locally Weighted Regression for Trend and Seasonality in TS

Various methods for the identification of trend and seasonal components in time series (TS) are provided. Among them is a data-driven locally weighted regression approach with automatically selected bandwidth for equidistant short-memory time series. The approach is a combination / extension of the algorithms by Feng (2013) <doi:10.1080/02664763.2012.740626> and Feng, Y., Gries, T., and Fritz, M. (2020) <doi:10.1080/10485252.2020.1759598> and a brief description of this new method is provided in the package documentation. Furthermore, the package allows its users to apply the base model of the Berlin procedure, version 4.1, as described in Speth (2004) <https://www.destatis.de/DE/Methoden/Saisonbereinigung/BV41-methodenbericht-Heft3_2004.pdf?__blob=publicationFile>. Permission to include this procedure was kindly provided by the Federal Statistical Office of Germany.

Maintained by Dominik Schulz. Last updated 8 months ago.

openblas cpp openmp

35.9 match 1.70 score 2 scripts

ovgu-sh

desk:Didactic Econometrics Starter Kit

Written to help undergraduate as well as graduate students to get started with R for basic econometrics without the need to import specific functions and datasets from many different sources. Primarily, the package is meant to accompany the German textbook Auer, L.v., Hoffmann, S., Kranz, T. (2024, ISBN: 978-3-662-68263-0) from which the exercises cover all the topics from the textbook Auer, L.v. (2023, ISBN: 978-3-658-42699-6).

Maintained by Soenke Hoffmann. Last updated 11 months ago.

11.5 match 4.30 score 10 scripts

r-spatial

gstat:Spatial and Spatio-Temporal Geostatistical Modelling, Prediction and Simulation

Variogram modelling; simple, ordinary and universal point or block (co)kriging; spatio-temporal kriging; sequential Gaussian or indicator (co)simulation; variogram and variogram map plotting utility functions; supports sf and stars.

Maintained by Edzer Pebesma. Last updated 10 days ago.

openblas

3.3 match 197 stars 14.78 score 4.8k scripts 57 dependents

kenkellner

IPMbook:Functions and Data for the Book 'Integrated Population Models'

Provides functions and data sets to accompany the book 'Integrated Population Models: Theory and Ecological Applications with R and JAGS' by Michael Schaub and Marc Kéry (ISBN: 9780128205648).

Maintained by Ken Kellner. Last updated 1 months ago.

11.9 match 1 stars 3.95 score 177 scripts

gamlss-dev

WeatherGermany:Weather Data for Germany from the Deutscher Wetterdienst (DWD)

Weather data for all stations in Germany as provided by the Deutscher Wetterdienst (DWD). The data is pre-processed and only the observations with the highest quality flags are provided. In addition, elevation data of Germany is provided as stars object.

Maintained by Nikolaus Umlauf. Last updated 1 months ago.

19.7 match 2.30 score

eikeluedeling

chillR:Statistical Methods for Phenology Analysis in Temperate Fruit Trees

The phenology of plants (i.e. the timing of their annual life phases) depends on climatic cues. For temperate trees and many other plants, spring phases, such as leaf emergence and flowering, have been found to result from the effects of both cool (chilling) conditions and heat. Fruit tree scientists (pomologists) have developed some metrics to quantify chilling and heat (e.g. see Luedeling (2012) <doi:10.1016/j.scienta.2012.07.011>). 'chillR' contains functions for processing temperature records into chilling (Chilling Hours, Utah Chill Units and Chill Portions) and heat units (Growing Degree Hours). Regarding chilling metrics, Chill Portions are often considered the most promising, but they are difficult to calculate. This package makes it easy. 'chillR' also contains procedures for conducting a PLS analysis relating phenological dates (e.g. bloom dates) to either mean temperatures or mean chill and heat accumulation rates, based on long-term weather and phenology records (Luedeling and Gassner (2012) <doi:10.1016/j.agrformet.2011.10.020>). As of version 0.65, it also includes functions for generating weather scenarios with a weather generator, for conducting climate change analyses for temperature-based climatic metrics and for plotting results from such analyses. Since version 0.70, 'chillR' contains a function for interpolating hourly temperature records.

Maintained by Eike Luedeling. Last updated 4 months ago.

cpp

7.1 match 3 stars 6.13 score 346 scripts 1 dependents

bastistician

hhh4contacts:Age-Structured Spatio-Temporal Models for Infectious Disease Counts

Meyer and Held (2017) <doi:10.1093/biostatistics/kxw051> present an age-structured spatio-temporal model for infectious disease counts. The approach is illustrated in a case study on norovirus gastroenteritis in Berlin, 2011-2015, by age group, city district and week, using additional contact data from the POLYMOD survey. This package contains the data and code to reproduce the results from the paper, see 'demo("hhh4contacts")'.

Maintained by Sebastian Meyer. Last updated 5 months ago.

13.1 match 3.28 score 19 scripts

mrc-ide

EpiEstim:Estimate Time Varying Reproduction Numbers from Epidemic Curves

Tools to quantify transmissibility throughout an epidemic from the analysis of time series of incidence as described in Cori et al. (2013) <doi:10.1093/aje/kwt133> and Wallinga and Teunis (2004) <doi:10.1093/aje/kwh255>.

Maintained by Anne Cori. Last updated 7 months ago.

3.5 match 95 stars 12.00 score 1.0k scripts 7 dependents

courtiol

IsoriX:Isoscape Computation and Inference of Spatial Origins using Mixed Models

Building isoscapes using mixed models and inferring the geographic origin of samples based on their isotopic ratios. This package is essentially a simplified interface to several other packages which implements a new statistical framework based on mixed models. It uses 'spaMM' for fitting and predicting isoscapes, and assigning an organism's origin depending on its isotopic ratio. 'IsoriX' also relies heavily on the package 'rasterVis' for plotting the maps produced with 'terra' using 'lattice'.

Maintained by Alexandre Courtiol. Last updated 6 months ago.

7.4 match 14 stars 5.59 score 56 scripts

spatstat

spatstat.data:Datasets for 'spatstat' Family

Contains all the datasets for the 'spatstat' family of packages.

Maintained by Adrian Baddeley. Last updated 14 hours ago.

kernel-density point-process spatial-analysis spatial-data spatial-data-analysis spatstat statistical-analysis statistical-methods statistical-tests statistics

3.6 match 6 stars 11.00 score 186 scripts 228 dependents

mappinguniverse

mapping:Automatic Download, Linking, Manipulating Coordinates for Maps

Maps are an important tool to visualise variables distribution across different spatial objects. The mapping process requires to link the data with coordinates and then generate the correspondent map. This package provide coordinates, linking and mapping functions for an automatic, flexible and easy approach of external functions. The package provides an easy, flexible and automatic unit. Geographical coordinates are provided in the package and automatically linked with the input data to generate maps with internal provided functions or external functions. Provide an easy, flexible and automatic approach to potentially download updated coordinates, to link statistical units with coordinates and to aggregate variables based on the spatial hierarchy of units. The object returned from the package can be used for thematic maps with the build-in functions provided in mapping or with other packages already available.

Maintained by Alessio Serafini. Last updated 1 years ago.

8.3 match 4 stars 4.79 score 31 scripts

kwstat

agridat:Agricultural Datasets

Datasets from books, papers, and websites related to agriculture. Example graphics and analyses are included. Data come from small-plot trials, multi-environment trials, uniformity trials, yield monitors, and more.

Maintained by Kevin Wright. Last updated 28 days ago.

data

3.5 match 125 stars 11.02 score 1.7k scripts 2 dependents

cszang

treeclim:Numerical Calibration of Proxy-Climate Relationships

Bootstrapped response and correlation functions, seasonal correlations and evaluation of reconstruction skills for use in dendroclimatology and dendroecology, see Zang and Biondi (2015) <doi:10.1111/ecog.01335>.

Maintained by Christian Zang. Last updated 3 months ago.

climate-relationships dendroclimatology dendroecology openblas cpp

6.8 match 18 stars 5.66 score 36 scripts

statmanrobin

Stat2Data:Datasets for Stat2

Datasets for the textbook Stat2: Modeling with Regression and ANOVA (second edition). The package also includes data for the first edition, Stat2: Building Models for a World of Data and a few functions for plotting diagnostics.

Maintained by Robin Lock. Last updated 6 years ago.

7.5 match 5 stars 4.94 score 544 scripts

flrd

standardlastprofile:Data Package for BDEW Standard Load Profiles in Electricity

Data on standard load profiles from the German Association of Energy and Water Industries (BDEW Bundesverband der Energie- und Wasserwirtschaft e.V.) in a tidy format. The data and methodology are described in VDEW (1999), "Repräsentative VDEW-Lastprofile", <https://www.bdew.de/media/documents/1999_Repraesentative-VDEW-Lastprofile.pdf>. The package also offers an interface for generating a standard load profile over a user-defined period. For the algorithm, see VDEW (2000), "Anwendung der Repräsentativen VDEW-Lastprofile step-by-step", <https://www.bdew.de/media/documents/2000131_Anwendung-repraesentativen_Lastprofile-Step-by-step.pdf>.

Maintained by Markus Döring. Last updated 8 months ago.

data electricity germany

10.0 match 1 stars 3.70 score 4 scripts

cimentadaj

perccalc:Estimate Percentiles from an Ordered Categorical Variable

An implementation of two functions that estimate values for percentiles from an ordered categorical variable as described by Reardon (2011, isbn:978-0-87154-372-1). One function estimates percentile differences from two percentiles while the other returns the values for every percentile from 1 to 100.

Maintained by Jorge Cimentada. Last updated 5 years ago.

6.7 match 4 stars 5.53 score 14 scripts

ropensci

webchem:Chemical Information from the Web

Chemical information from around the web. This package interacts with a suite of web services for chemical information. Sources include: Alan Wood's Compendium of Pesticide Common Names, Chemical Identifier Resolver, ChEBI, Chemical Translation Service, ChemSpider, ETOX, Flavornet, NIST Chemistry WebBook, OPSIN, PubChem, SRS, Wikidata.

Maintained by Tamás Stirling. Last updated 3 months ago.

cas-number chemical-information chemspider identifier ropensci webscraping

3.4 match 165 stars 10.31 score 173 scripts 10 dependents

ai4ci

ggoutbreak:Estimate Incidence, Proportions and Exponential Growth Rates

Simple statistical models and visualisations for calculating the incidence, proportion, exponential growth rate, and reproduction number of infectious disease case time series. This toolkit was largely developed during the COVID-19 pandemic.

Maintained by Robert Challen. Last updated 1 months ago.

7.9 match 1 stars 4.30 score

covid19datahub

COVID19:COVID-19 Data Hub

Unified datasets for a better understanding of COVID-19.

Maintained by Emanuele Guidotti. Last updated 27 days ago.

2019-ncov coronavirus covid-19 covid-data covid19-data

3.0 match 252 stars 11.08 score 265 scripts

cran

vcd:Visualizing Categorical Data

Visualization techniques, data sets, summary and inference procedures aimed particularly at categorical data. Special emphasis is given to highly extensible grid graphics. The package was package was originally inspired by the book "Visualizing Categorical Data" by Michael Friendly and is now the main support package for a new book, "Discrete Data Analysis with R" by Michael Friendly and David Meyer (2015).

Maintained by David Meyer. Last updated 6 months ago.

4.0 match 5 stars 8.19 score 87 dependents

lalvarezmat

EpiInvert:Variational Techniques in Epidemiology

Using variational techniques we address some epidemiological problems as the incidence curve decomposition by inverting the renewal equation as described in Alvarez et al. (2021) <doi:10.1073/pnas.2105112118> and Alvarez et al. (2022) <doi:10.3390/biology11040540> or the estimation of the functional relationship between epidemiological indicators. We also propose a learning method for the short time forecast of the trend incidence curve as described in Morel et al. (2022) <doi:10.1101/2022.11.05.22281904>.

Maintained by Luis Alvarez. Last updated 1 years ago.

cpp

9.9 match 3 stars 3.18 score 3 scripts

matthieustigler

partsm:Periodic Autoregressive Time Series Models

Basic functions to fit and predict periodic autoregressive time series models. These models are discussed in the book P.H. Franses (1996) "Periodicity and Stochastic Trends in Economic Time Series", Oxford University Press. Data set analyzed in that book is also provided. NOTE: the package was orphaned during several years. It is now only maintained, but no major enhancements are expected, and the maintainer cannot provide any support.

Maintained by Matthieu Stigler. Last updated 4 years ago.

6.8 match 3 stars 4.57 score 25 scripts

mthrun

DataVisualizations:Visualizations of High-Dimensional Data

Gives access to data visualisation methods that are relevant from the data scientist's point of view. The flagship idea of 'DataVisualizations' is the mirrored density plot (MD-plot) for either classified or non-classified multivariate data published in Thrun, M.C. et al.: "Analyzing the Fine Structure of Distributions" (2020), PLoS ONE, <DOI:10.1371/journal.pone.0238835>. The MD-plot outperforms the box-and-whisker diagram (box plot), violin plot and bean plot and geom_violin plot of ggplot2. Furthermore, a collection of various visualization methods for univariate data is provided. In the case of exploratory data analysis, 'DataVisualizations' makes it possible to inspect the distribution of each feature of a dataset visually through a combination of four methods. One of these methods is the Pareto density estimation (PDE) of the probability density function (pdf). Additionally, visualizations of the distribution of distances using PDE, the scatter-density plot using PDE for two variables as well as the Shepard density plot and the Bland-Altman plot are presented here. Pertaining to classified high-dimensional data, a number of visualizations are described, such as f.ex. the heat map and silhouette plot. A political map of the world or Germany can be visualized with the additional information defined by a classification of countries or regions. By extending the political map further, an uncomplicated function for a Choropleth map can be used which is useful for measurements across a geographic area. For categorical features, the Pie charts, slope charts and fan plots, improved by the ABC analysis, become usable. More detailed explanations are found in the book by Thrun, M.C.: "Projection-Based Clustering through Self-Organization and Swarm Intelligence" (2018) <DOI:10.1007/978-3-658-20540-9>.

Maintained by Michael Thrun. Last updated 2 months ago.

cpp

4.0 match 7 stars 7.72 score 118 scripts 7 dependents

boost-r

FDboost:Boosting Functional Regression Models

Regression models for functional data, i.e., scalar-on-function, function-on-scalar and function-on-function regression models, are fitted by a component-wise gradient boosting algorithm. For a manual on how to use 'FDboost', see Brockhaus, Ruegamer, Greven (2017) <doi:10.18637/jss.v094.i10>.

Maintained by David Ruegamer. Last updated 3 months ago.

boosting boosting-algorithms function-on-function-regression function-on-scalar-regression machine-learning scalar-on-function-regression variable-selection

3.8 match 17 stars 8.00 score 98 scripts

andreash0

leafdown:Provides Drill Down Functionality for 'leaflet' Choropleths

Provides drill down functionality for 'leaflet' choropleths in 'shiny' apps.

Maintained by Andreas Hofheinz. Last updated 2 years ago.

7.2 match 3.87 score 49 scripts

epiforecasts

covidregionaldata:Subnational Data for COVID-19 Epidemiology

An interface to subnational and national level COVID-19 data sourced from both official sources, such as Public Health England in the UK, and from other COVID-19 data collections, including the World Health Organisation (WHO), European Centre for Disease Prevention and Control (ECDC), John Hopkins University (JHU), Google Open Data and others. Designed to streamline COVID-19 data extraction, cleaning, and processing from a range of data sources in an open and transparent way. This allows users to inspect and scrutinise the data, and tools used to process it, at every step. For all countries supported, data includes a daily time-series of cases. Wherever available data is also provided for deaths, hospitalisations, and tests. National level data are also supported using a range of sources.

Maintained by Sam Abbott. Last updated 3 years ago.

covid-19 data open-science r6 regional-data

4.7 match 37 stars 5.67 score 121 scripts

cran

REAT:Regional Economic Analysis Toolbox

Collection of models and analysis methods used in regional and urban economics and (quantitative) economic geography, e.g. measures of inequality, regional disparities and convergence, regional specialization as well as accessibility and spatial interaction models.

Maintained by Thomas Wieland. Last updated 4 years ago.

7.3 match 3 stars 3.62 score 140 scripts

biostats-dev

ggsurveillance:Tools for Outbreak Investigation/Infectious Disease Surveillance

Create epicurves or epigantt charts in 'ggplot2'. Prepare data for visualisation or other reporting for infectious disease surveillance and outbreak investigation. Includes tidy functions to solve date based transformations for common reporting tasks, like (A) seasonal date alignment for respiratory disease surveillance, (B) date-based case binning based on specified time intervals like isoweek, epiweek, month and more, (C) automated detection and marking of the new year based on the date/datetime axis of the 'ggplot2'. An introduction on how to use epicurves can be found on the US CDC website (2012, <https://www.cdc.gov/training/quicklearns/epimode/index.html>).

Maintained by Alexander Bartel. Last updated 14 days ago.

epidemiology infectious-disease-surveillance infectious-diseases outbreaks

4.8 match 2 stars 5.31 score

reconverse

outbreaks:A Collection of Disease Outbreak Data

Empirical or simulated disease outbreak data, provided either as RData or as text files.

Maintained by Finlay Campbell. Last updated 2 years ago.

3.8 match 51 stars 6.70 score 282 scripts

tobadia

R0:Estimation of R0 and Real-Time Reproduction Number from Epidemics

Estimation of reproduction numbers for disease outbreak, based on incidence data. The R0 package implements several documented methods. It is therefore possible to compare estimations according to the methods used. Depending on the methods requested by user, basic reproduction number (commonly denoted as R0) or real-time reproduction number (referred to as R(t)) is computed, along with a 95% Confidence Interval. Plotting outputs will give different graphs depending on the methods requested : basic reproductive number estimations will only show the epidemic curve (collected data) and an adjusted model, whereas real-time methods will also show the R(t) variations throughout the outbreak time period. Sensitivity analysis tools are also provided, and allow for investigating effects of varying Generation Time distribution or time window on estimates.

Maintained by Thomas Obadia. Last updated 19 days ago.

4.0 match 4 stars 5.87 score 186 scripts

arne-henningsen

micEcon:Microeconomic Analysis and Modelling

Various tools for microeconomic analysis and microeconomic modelling, e.g. estimating quadratic, Cobb-Douglas and Translog functions, calculating partial derivatives and elasticities of these functions, and calculating Hessian matrices, checking curvature and preparing restrictions for imposing monotonicity of Translog functions.

Maintained by Arne Henningsen. Last updated 3 years ago.

7.3 match 3 stars 3.18 score 39 scripts 3 dependents

sumtxt

wiesbaden:Access Databases from the Federal Statistical Office of Germany

Retrieve and import data from different databases of the Federal Statistical Office of Germany (DESTATIS) using their SOAP XML web service <https://www-genesis.destatis.de/>.

Maintained by Moritz Marbach. Last updated 8 months ago.

api-client regionalstatistik

3.4 match 52 stars 6.55 score 17 scripts

impaug

UpAndDownPlots:Displays Percentage and Absolute Changes

Displays percentage changes by height and absolute changes by area for up to three nested or non-nested levels. The plots visualise changes in indices and markets, showing how the changes for sectors or for individual components contribute to the overall change. Data can be classified by up to three levels of grouping variables in a layered, hierarchical plot. Each level can be ordered in several ways including by baseline, by percentage change, and by absolute change. The vignettes give examples.

Maintained by Antony Unwin. Last updated 12 months ago.

6.8 match 3.30 score 6 scripts

correlaid

restatis:R Wrapper to Access a Wide Range of Germany's Federal Statistical System Databases Based on the GENESIS Web Service RESTful API of the German Federal Statistical Office (Statistisches Bundesamt/Destatis)

A RESTful API wrapper for accessing the GENESIS database of the German Federal Statistical Office (Destatis) as well as its Census Database and the database of Germany's regional statistics. Supports data search functions, credential management, result caching, and handling remote background jobs for large datasets.

Maintained by Yannik Buhl. Last updated 6 days ago.

3.1 match 22 stars 7.03 score 11 scripts

cran

flux:Flux Rate Calculation from Dynamic Closed Chamber Measurements

Functions for the calculation of greenhouse gas flux rates from closed chamber concentration measurements. The package follows a modular concept: Fluxes can be calculated in just two simple steps or in several steps if more control in details is wanted. Additionally plot and preparation functions as well as functions for modelling gpp and reco are provided.

Maintained by Gerald Jurasinski. Last updated 3 years ago.

6.6 match 2 stars 3.21 score 3 dependents

lightbluetitan

crimedatasets:A Comprehensive Collection of Crime-Related Datasets

A comprehensive collection of datasets exclusively focused on crimes, criminal activities, and related topics. This package serves as a valuable resource for researchers, analysts, and students interested in crime analysis, criminology, social and economic studies related to criminal behavior. Datasets span global and local contexts, with a mix of tabular and spatial data.

Maintained by Renzo Caceres Rossi. Last updated 3 months ago.

4.0 match 8 stars 4.90 score 3 scripts

mvogel78

childsds:Data and Methods Around Reference Values in Pediatrics

Calculation of standard deviation scores and percentiles adduced from different standards (WHO, UK, Germany, Italy, China, etc). Also, references for laboratory values in children and adults are available, e.g., serum lipids, iron-related blood parameters, IGF, liver enzymes. See package documentation for full list.

Maintained by Mandy Vogel. Last updated 2 months ago.

6.8 match 2.83 score 51 scripts

fgazzelloni

hmsidwR:Health Metrics and the Spread of Infectious Diseases

A collection of datasets and supporting functions accompanying Health Metrics and the Spread of Infectious Diseases by Federica Gazzelloni (2024). This package provides data for health metrics calculations, including Disability-Adjusted Life Years (DALYs), Years of Life Lost (YLLs), and Years Lived with Disability (YLDs), as well as additional tools for analyzing and visualizing health data. Federica Gazzelloni (2024) <doi:10.5281/zenodo.10818338>.

Maintained by Federica Gazzelloni. Last updated 2 months ago.

deaths health-data infectious-diseases lifeexpectancy

3.4 match 4 stars 5.48 score 6 scripts

zhuwang46

mpath:Regularized Linear Models

Algorithms compute robust estimators for loss functions in the concave convex (CC) family by the iteratively reweighted convex optimization (IRCO), an extension of the iteratively reweighted least squares (IRLS). The IRCO reduces the weight of the observation that leads to a large loss; it also provides weights to help identify outliers. Applications include robust (penalized) generalized linear models and robust support vector machines. The package also contains penalized Poisson, negative binomial, zero-inflated Poisson, zero-inflated negative binomial regression models and robust models with non-convex loss functions. Wang et al. (2014) <doi:10.1002/sim.6314>, Wang et al. (2015) <doi:10.1002/bimj.201400143>, Wang et al. (2016) <doi:10.1177/0962280214530608>, Wang (2021) <doi:10.1007/s11749-021-00770-2>, Wang (2020) <arXiv:2010.02848>.

Maintained by Zhu Wang. Last updated 3 years ago.

fortran openblas

2.7 match 1 stars 6.67 score 131 scripts 4 dependents

epiforecasts

forecast.vocs:Forecast Case and Sequence Notifications using Variant of Concern Strain Dynamics

Contains models and tools to produce short-term forecasts for both case and sequence notifications assuming circulation of either one or two variants. Tools are also provided to allow the evaluation of the use of sequence data for short-term forecasts in both real-world settings and in user generated scenarios.

Maintained by Sam Abbott. Last updated 2 years ago.

3.4 match 8 stars 5.25 score 22 scripts

rozetasimonovska

SDPDmod:Spatial Dynamic Panel Data Modeling

Spatial model calculation for static and dynamic panel data models, weights matrix creation and Bayesian model comparison. Bayesian model comparison methods were described by 'LeSage' (2014) <doi:10.1016/j.spasta.2014.02.002>. The 'Lee'-'Yu' transformation approach is described in 'Yu', 'De Jong' and 'Lee' (2008) <doi:10.1016/j.jeconom.2008.08.002>, 'Lee' and 'Yu' (2010) <doi:10.1016/j.jeconom.2009.08.001> and 'Lee' and 'Yu' (2010) <doi:10.1017/S0266466609100099>.

Maintained by Rozeta Simonovska. Last updated 11 months ago.

3.6 match 5 stars 4.98 score 19 scripts

forest-economics-goettingen

woodValuationDE:Wood Valuation Germany

Monetary valuation of wood in German forests (stumpage values), including estimations of harvest quantities, wood revenues, and harvest costs. The functions are sensitive to tree species, mean diameter of the harvested trees, stand quality, and logging method. The functions include estimations for the consequences of disturbances on revenues and costs. The underlying assortment tables are taken from Offer and Staupendahl (2018) with corresponding functions for salable and skidded volume derived in Fuchs et al. (2023). Wood revenue and harvest cost functions were taken from v. Bodelschwingh (2018). The consequences of disturbances refer to Dieter (2001), Moellmann and Moehring (2017), and Fuchs et al. (2022a, 2022b). For the full references see documentation of the functions, package README, and Fuchs et al. (2023). Apart from Dieter (2001) and Moellmann and Moehring (2017), all functions and factors are based on data from HessenForst, the forest administration of the Federal State of Hesse in Germany.

Maintained by Jasper M. Fuchs. Last updated 8 months ago.

5.4 match 2 stars 3.30 score 2 scripts

rnuske

et.nwfva:Forest Yield Tables for Northwest Germany and their Application

The new yield tables developed by the Northwest German Forest Research Institute (NW-FVA) provide a forest management tool for the five main commercial tree species oak, beech, spruce, Douglas-fir and pine for northwestern Germany. The new method applied for deriving yield tables combines measurements of growth and yield trials with growth simulations using a state-of-the-art single-tree growth simulator. By doing so, the new yield tables reflect the current increment level and the recommended graduated thinning from above is the underlying management concept. The yield tables are provided along with methods for deriving the site index and for interpolating between age and site indices and extrapolating beyond age and site index ranges. The inter-/extrapolations are performed traditionally by the rule of proportion or with a functional approach.

Maintained by Robert Nuske. Last updated 14 days ago.

baumarten ertragstafeln forstwirtschaft

3.4 match 4 stars 5.08 score 10 scripts

rainers48

tsapp:Time Series, Analysis and Application

Accompanies the book Rainer Schlittgen and Cristina Sattarhoff (2020) <https://www.degruyter.com/view/title/575978> "Angewandte Zeitreihenanalyse mit R, 4. Auflage" . The package contains the time series and functions used therein. It was developed over many years teaching courses about time series analysis.

Maintained by Rainer Schlittgen. Last updated 3 years ago.

17.4 match 1.00 score 1 scripts

project-gen3sis

gen3sis:General Engine for Eco-Evolutionary Simulations

Contains an engine for spatially-explicit eco-evolutionary mechanistic models with a modular implementation and several support functions. It allows exploring the consequences of ecological and macroevolutionary processes across realistic or theoretical spatio-temporal landscapes on biodiversity patterns as a general term. Reference: Oskar Hagen, Benjamin Flueck, Fabian Fopp, Juliano S. Cabral, Florian Hartig, Mikael Pontarp, Thiago F. Rangel, Loic Pellissier (2021) "gen3sis: A general engine for eco-evolutionary simulations of the processes that shape Earth's biodiversity" <doi:10.1371/journal.pbio.3001340>.

Maintained by Oskar Hagen. Last updated 1 years ago.

biodiversity ecology evolution mechanistic model modeling simulation cpp

2.3 match 29 stars 7.56 score 69 scripts

noeliaof

SEI:Calculating Standardised Indices

Convert a time series of observations to a time series of standardised indices that can be used to monitor variables on a common and probabilistically interpretable scale. The indices can be aggregated and rescaled to different time scales, visualised using plot capabilities, and calculated using a range of distributions. This includes flexible non-parametric and non-stationary methods.

Maintained by Sam Allen. Last updated 8 months ago.

3.5 match 3 stars 4.86 score 12 scripts

jmanitz

samplingbook:Survey Sampling Procedures

Sampling procedures from the book 'Stichproben - Methoden und praktische Umsetzung mit R' by Goeran Kauermann and Helmut Kuechenhoff (2010).

Maintained by Juliane Manitz. Last updated 4 years ago.

sampling-methods sampling-procedures

3.5 match 2 stars 4.78 score 54 scripts

florianjansen

eHOF:Extended HOF (Huisman-Olff-Fresco) Models

Extended and enhanced hierarchical logistic regression models (called Huisman-Olff-Fresco in biology, see Huisman et al. 1993 Journal of Vegetation Science <doi:10.1111/jvs.12050>) models. Response curves along one-dimensional gradients including no response, monotone, plateau, unimodal and bimodal models.

Maintained by Florian Jansen. Last updated 3 months ago.

5.1 match 3.16 score 24 scripts

sumtxt

ags:Crosswalk Municipality and District Statistics in Germany

Construct time series for Germany's municipalities (Gemeinden) and districts (Kreise) using a annual crosswalk constructed by the Federal Office for Building and Regional Planning (BBSR).

Maintained by Moritz Marbach. Last updated 11 months ago.

3.5 match 8 stars 4.60 score 3 scripts

freezenik

R2BayesX:Estimate Structured Additive Regression Models with 'BayesX'

An R interface to estimate structured additive regression (STAR) models with 'BayesX'.

Maintained by Nikolaus Umlauf. Last updated 1 years ago.

4.5 match 1 stars 3.55 score 118 scripts 1 dependents

edonnachie

ICD10gm:Metadata Processing for the German Modification of the ICD-10 Coding System

Provides convenient access to the German modification of the International Classification of Diagnoses, 10th revision (ICD-10-GM). It provides functionality to aid in the identification, specification and historisation of ICD-10 codes. Its intended use is the analysis of routinely collected data in the context of epidemiology, medical research and health services research. The underlying metadata are released by the German Institute for Medical Documentation and Information <https://www.dimdi.de>, and are redistributed in accordance with their license.

Maintained by Ewan Donnachie. Last updated 1 years ago.

bfarm charlson comorbidities diagnoses dimdi icd-10 metadata routinedaten versorgungsforschung

3.0 match 10 stars 5.30 score 20 scripts

vochr

TapeR:Flexible Tree Taper Curves Based on Semiparametric Mixed Models

Implementation of functions for fitting taper curves (a semiparametric linear mixed effects taper model) to diameter measurements along stems. Further functions are provided to estimate the uncertainty around the predicted curves, to calculate timber volume (also by sections) and marginal (e.g., upper) diameters. For cases where tree heights are not measured, methods for estimating additional variance in volume predictions resulting from uncertainties in tree height models (tariffs) are provided. The example data include the taper curve parameters for Norway spruce used in the 3rd German NFI fitted to 380 trees and a subset of section-wise diameter measurements of these trees. The functions implemented here are detailed in Kublin, E., Breidenbach, J., Kaendler, G. (2013) <doi:10.1007/s10342-013-0715-0>.

Maintained by Christian Vonderach. Last updated 1 years ago.

3.4 match 4.38 score 16 scripts 1 dependents

cran

gamair:Data for 'GAMs: An Introduction with R'

Data sets and scripts used in the book 'Generalized Additive Models: An Introduction with R', Wood (2006,2017) CRC.

Maintained by Simon Wood. Last updated 6 years ago.

6.0 match 2.43 score 162 scripts

cysouw

qlcVisualize:Visualization for Quantitative Language Comparison

Collection of visualizations as used in quantitative language comparison. Currently implemented are visualisations dealing nominal data with multiple levels ("level map" and "factor map"), and assistance for making weighted geographical Voronoi-maps ("weighted map").

Maintained by Michael Cysouw. Last updated 6 months ago.

3.4 match 4.03 score 24 scripts

pik-piam

mredgebuildings:Prepare data to be used by the EDGE-Buildings model

Prepare data to be used by the EDGE-Buildings model.

Maintained by Robin Hasse. Last updated 2 days ago.

3.5 match 3.72 score

bhaskarvk

tilegramsR:R Spatial Data for Tilegrams

R spatial objects for Tilegrams. Tilegrams are tiled maps where the region size is proportional to the certain characteristics of the dataset.

Maintained by Bhaskar Karambelkar. Last updated 3 years ago.

geospatial tilegrams

2.0 match 52 stars 6.03 score 41 scripts

esmucler

gdpc:Generalized Dynamic Principal Components

Functions to compute the Generalized Dynamic Principal Components introduced in Peña and Yohai (2016) <DOI:10.1080/01621459.2015.1072542>. The implementation includes an automatic procedure proposed in Peña, Smucler and Yohai (2020) <DOI:10.18637/jss.v092.c02> for the identification of both the number of lags to be used in the generalized dynamic principal components as well as the number of components required for a given reconstruction accuracy.

Maintained by Ezequiel Smucler. Last updated 1 years ago.

openblas cpp

3.3 match 5 stars 3.57 score 15 scripts

kainhofer

MortalityTables:A Framework for Various Types of Mortality / Life Tables

Classes to implement, analyze and plot cohort life tables for actuarial calculations. Birth-year dependent cohort mortality tables using a yearly trend to extrapolate from a base year are implemented, as well as period life table, cohort life tables using an age shift, and merged life tables. Additionally, several data sets from various countries are included to provide widely-used tables out of the box.

Maintained by Reinhold Kainhofer. Last updated 1 years ago.

2.0 match 1 stars 5.70 score 84 scripts 2 dependents

cran

expectreg:Expectile and Quantile Regression

Expectile and quantile regression of models with nonlinear effects e.g. spatial, random, ridge using least asymmetric weighed squares / absolutes as well as boosting; also supplies expectiles for common distributions.

Maintained by Fabian Otto-Sobotka. Last updated 1 years ago.

cpp

3.6 match 2 stars 3.08 score 2 dependents

weiserc

mvQuad:Methods for Multivariate Quadrature

Provides methods to construct multivariate grids, which can be used for multivariate quadrature. This grids can be based on different quadrature rules like Newton-Cotes formulas (trapezoidal-, Simpson's- rule, ...) or Gauss quadrature (Gauss-Hermite, Gauss-Legendre, ...). For the construction of the multidimensional grid the product-rule or the combination- technique can be applied.

Maintained by Constantin Weiser. Last updated 9 years ago.

1.8 match 3 stars 6.15 score 45 scripts 7 dependents

iwugermany

clidamonger:Monthly Climate Data for Germany, Usable for Heating and Cooling Calculations

This data package contains monthly climate data in Germany, it can be used for heating and cooling calculations (external temperature, heating / cooling days, solar radiation).

Maintained by Jens Calisti. Last updated 1 months ago.

3.3 match 2 stars 3.30 score 3 scripts

mpi-bgc-functional-biogeography

rtry:Preprocessing Plant Trait Data

Designed to support the application of plant trait data providing easy applicable functions for the basic steps of data preprocessing, e.g. data import, data exploration, selection of columns and rows, excluding trait data according to different attributes, geocoding, long- to wide-table transformation, and data export. 'rtry' was initially developed as part of the TRY R project to preprocess trait data received via the TRY database.

Maintained by Olee Hoi Ying Lam. Last updated 2 years ago.

1.5 match 24 stars 5.94 score 24 scripts

dschulz13

smoots:Nonparametric Estimation of the Trend and Its Derivatives in TS

The nonparametric trend and its derivatives in equidistant time series (TS) with short-memory stationary errors can be estimated. The estimation is conducted via local polynomial regression using an automatically selected bandwidth obtained by a built-in iterative plug-in algorithm or a bandwidth fixed by the user. A Nadaraya-Watson kernel smoother is also built-in as a comparison. With version 1.1.0, a linearity test for the trend function, forecasting methods and backtesting approaches are implemented as well. The smoothing methods of the package are described in Feng, Y., Gries, T., and Fritz, M. (2020) <doi:10.1080/10485252.2020.1759598>.

Maintained by Dominik Schulz. Last updated 2 years ago.

openblas cpp openmp

3.4 match 2.65 score 6 scripts 3 dependents

cran

rriskDistributions:Fitting Distributions to Given Data or Known Quantiles

Collection of functions for fitting distributions to given data or by known quantiles. Two main functions fit.perc() and fit.cont() provide users a GUI that allows to choose a most appropriate distribution without any knowledge of the R syntax. Note, this package is a part of the 'rrisk' project.

Maintained by Matthias Greiner. Last updated 8 years ago.

2.8 match 2.94 score 1 dependents

dschulz13

esemifar:Smoothing Long-Memory Time Series

The nonparametric trend and its derivatives in equidistant time series (TS) with long-memory errors can be estimated. The estimation is conducted via local polynomial regression using an automatically selected bandwidth obtained by a built-in iterative plug-in algorithm or a bandwidth fixed by the user. The smoothing methods of the package are described in Letmathe, S., Beran, J. and Feng, Y., (2023) <doi:10.1080/03610926.2023.2276049>.

Maintained by Dominik Schulz. Last updated 10 months ago.

openblas cpp

3.3 match 1 stars 2.48 score 1 scripts 1 dependents

markusboenn

POD:Probability of Detection for Qualitative PCR Methods

This tool computes the probability of detection (POD) curve and the limit of detection (LOD), i.e. the number of copies of the target DNA sequence required to ensure a 95 % probability of detection (LOD95). Other quantiles of the LOD can be specified. This is a reimplementation of the mathematical-statistical modelling of the validation of qualitative polymerase chain reaction (PCR) methods within a single laboratory as provided by the commercial tool 'PROLab' <http://quodata.de/>. The modelling itself has been described by Uhlig et al. (2015) <doi:10.1007/s00769-015-1112-9>.

Maintained by Markus Boenn. Last updated 5 years ago.

1.7 match 4.70 score 10 scripts

miracum

DIZutils:Utilities for 'DIZ' R Package Development

Utility functions used for the R package development infrastructure inside the data integration centers ('DIZ') to standardize and facilitate repetitive tasks such as setting up a database connection or issuing notification messages and to avoid redundancy.

Maintained by Jonathan M. Mang. Last updated 4 months ago.

openjdk

1.5 match 3 stars 5.03 score 5 scripts 2 dependents

cran

BHAI:Estimate the Burden of Healthcare-Associated Infections

Provides an approach which is based on the methodology of the Burden of Communicable Diseases in Europe (BCoDE) and can be used for large and small samples such as individual countries. The Burden of Healthcare-Associated Infections (BHAI) is estimated in disability-adjusted life years, number of infections as well as number of deaths per year. Results can be visualized with various plotting functions and exported into tables.

Maintained by Benedikt Zacher. Last updated 5 years ago.

7.5 match 1.00 score

datscimema

LinRegInteractive:Interactive Interpretation of Linear Regression Models

Interactive visualization of effects, response functions and marginal effects for different kinds of regression models. In this version linear regression models, generalized linear models, generalized additive models and linear mixed-effects models are supported. Major features are the interactive approach and the handling of the effects of categorical covariates: if two or more factors are used as covariates every combination of the levels of each factor is treated separately. The automatic calculation of marginal effects and a number of possibilities to customize the graphical output are useful features as well.

Maintained by Martin Meermeyer. Last updated 5 years ago.

3.5 match 2.00 score

bioc

pcaMethods:A collection of PCA methods

Provides Bayesian PCA, Probabilistic PCA, Nipals PCA, Inverse Non-Linear PCA and the conventional SVD PCA. A cluster based method for missing value estimation is included for comparison. BPCA, PPCA and NipalsPCA may be used to perform PCA on incomplete data as well as for accurate missing value estimation. A set of methods for printing and plotting the results is also provided. All PCA methods make use of the same data structure (pcaRes) to provide a common interface to the PCA results. Initiated at the Max-Planck Institute for Molecular Plant Physiology, Golm, Germany.

Maintained by Henning Redestig. Last updated 5 months ago.

bayesian cpp

0.5 match 49 stars 13.10 score 538 scripts 73 dependents

miracum

DIZtools:Lightweight Utilities for 'DIZ' R Package Development

Lightweight utility functions used for the R package development infrastructure inside the data integration centers ('DIZ') to standardize and facilitate repetitive tasks such as setting up a database connection or issuing notification messages and to avoid redundancy.

Maintained by Jonathan M. Mang. Last updated 1 years ago.

snippets tools

1.5 match 3 stars 4.13 score 2 scripts 3 dependents

impaug

GmooG:Datasets for the Book 'Getting (more out of) Graphics'

Datasets analysed in the book Antony Unwin (2024, ISBN:978-0367674007) "Getting (more out of) Graphics".

Maintained by Antony Unwin. Last updated 7 months ago.

3.6 match 1.70 score

joundso

cleaR:Clean the R Console and Environment

Small package to clean the R console and the R environment with the call of just one function.

Maintained by Jonathan M. Mang. Last updated 1 years ago.

1.6 match 3.78 score 3 scripts 4 dependents

kwb-r

kwb.datetime:Functions for date/time objects

Functions for date/time objects, e.g. functions to convert timestamps between different time zones. Correctness for some functions still to be verified!

Maintained by Hauke Sonnenberg. Last updated 4 years ago.

datetime

1.2 match 4.98 score 5 scripts 32 dependents

cran

ufRisk:Risk Measure Calculation in Financial TS

Enables the user to calculate Value at Risk (VaR) and Expected Shortfall (ES) by means of various parametric and semiparametric GARCH-type models. For the latter the estimation of the nonparametric scale function is carried out by means of a data-driven smoothing approach. Model quality, in terms of forecasting VaR and ES, can be assessed by means of various backtesting methods such as the traffic light test for VaR and a newly developed traffic light test for ES. The approaches implemented in this package are described in e.g. Feng Y., Beran J., Letmathe S. and Ghosh S. (2020) <https://ideas.repec.org/p/pdn/ciepap/137.html> as well as Letmathe S., Feng Y. and Uhde A. (2021) <https://ideas.repec.org/p/pdn/ciepap/141.html>.

Maintained by Sebastian Letmathe. Last updated 1 years ago.

3.4 match 1.70 score

felixhenninger

cookiecutter:Generate Project Files from a Template

Generate project files and directories following a pre-made template. You can specify variables to customize file names and content, and flexibly adapt the template to your needs. 'cookiecutter' for 'R' implements a subset of the excellent 'cookiecutter' package for the 'Python' programming language (<https://github.com/cookiecutter/>), and aims to be largely compatible with the original 'cookiecutter' template format.

Maintained by Felix Henninger. Last updated 1 years ago.

reproducibility research-software-engineering

1.6 match 5 stars 3.40 score 4 scripts

ycroissant

pder:Panel Data Econometrics with R

Data sets for the Panel Data Econometrics with R <doi:10.1002/9781119504641> book.

Maintained by Yves Croissant. Last updated 3 years ago.

3.4 match 1.36 score 15 scripts

bgctw

REddyProcNCDF:Reading Data from NetCDF Files for 'REddyProc'

Extension to 'REddyProc' that allows reading data from netCDF files.

Maintained by Thomas Wutzler. Last updated 7 years ago.

1.6 match 2.70 score 1 scripts

kjhealy

gssrdoc:Document General Social Survey Variable

The General Social Survey (GSS) is a long-running, mostly annual survey of US households. It is administered by the National Opinion Research Center (NORC). This package contains the a tibble with information on the survey variables, together with every variable documented as an R help page. For more information on the GSS see \url{http://gss.norc.org}.

Maintained by Kieran Healy. Last updated 11 months ago.

1.8 match 2.28 score 38 scripts

bioc

GlobalAncova:Global test for groups of variables via model comparisons

The association between a variable of interest (e.g. two groups) and the global pattern of a group of variables (e.g. a gene set) is tested via a global F-test. We give the following arguments in support of the GlobalAncova approach: After appropriate normalisation, gene-expression-data appear rather symmetrical and outliers are no real problem, so least squares should be rather robust. ANCOVA with interaction yields saturated data modelling e.g. different means per group and gene. Covariate adjustment can help to correct for possible selection bias. Variance homogeneity and uncorrelated residuals cannot be expected. Application of ordinary least squares gives unbiased, but no longer optimal estimates (Gauss-Markov-Aitken). Therefore, using the classical F-test is inappropriate, due to correlation. The test statistic however mirrors deviations from the null hypothesis. In combination with a permutation approach, empirical significance levels can be approximated. Alternatively, an approximation yields asymptotic p-values. The framework is generalized to groups of categorical variables or even mixed data by a likelihood ratio approach. Closed and hierarchical testing procedures are supported. This work was supported by the NGFN grant 01 GR 0459, BMBF, Germany and BMBF grant 01ZX1309B, Germany.

Maintained by Manuela Hummel. Last updated 5 months ago.

microarray onechannel differentialexpression pathways regression

0.8 match 5.32 score 9 scripts 1 dependents

cran

QCApro:Advanced Functionality for Performing and Evaluating Qualitative Comparative Analysis

Provides advanced functionality for performing configurational comparative research with Qualitative Comparative Analysis (QCA), including crisp-set, multi-value, and fuzzy-set QCA. It also offers advanced tools for sensitivity diagnostics and methodological evaluations of QCA.

Maintained by Alrik Thiem. Last updated 7 years ago.

3.8 match 1 stars 1.00 score

svenja12

ExtrPatt:Spatial Dependencies and Indices for Extremes

An implementation of 1) the tail pairwise dependence matrix (TPDM) as described in Jiang & Cooley (2020) <doi:10.1175/JCLI-D-19-0413.1> 2) the extremal pattern index (EPI) as described in Szemkus & Friederichs ('Spatial patterns and indices for heatwave and droughts over Europe using a decomposition of extremal dependency'; submitted to ASCMO 2023).

Maintained by Svenja Szemkus. Last updated 1 years ago.

3.8 match 1.00 score

cran

wflo:Data Set and Helper Functions for Wind Farm Layout Optimization Problems

Provides a convenient data set, a set of helper functions, and a benchmark function for economically (profit) driven wind farm layout optimization. This enables researchers in the field of the NP-hard (non-deterministic polynomial-time hard) problem of wind farm layout optimization to focus on their optimization methodology contribution and also provides a realistic benchmark setting for comparability among contributions. See Croonenbroeck, Carsten & Hennecke, David (2020) <doi:10.1016/j.energy.2020.119244>.

Maintained by Carsten Croonenbroeck. Last updated 12 months ago.

1.8 match 2.00 score

johannesfriedrich

hystReet:Get Pedestrian Frequency Data from the 'Hystreet' Project

An R API wrapper for the 'Hystreet' project <https://hystreet.com>. 'Hystreet' provides pedestrian counts in different cities in Germany.

Maintained by Johannes Friedrich. Last updated 2 months ago.

api bigdata hystreet pedestrian-detection wrapper

0.5 match 13 stars 5.29 score 9 scripts

chgrl

rdnb:R Interface to the 'Deutsche Nationalbibliothek (German National Library) API'

A wrapper for the 'Deutsche Nationalbibliothek (German National Library) API', available at <https://www.dnb.de/EN/Home/home_node.html>. The German National Library is the German central archival library, collecting, archiving, bibliographically classifying all German and German-language publications, foreign publications about Germany, translations of German works, and the works of German-speaking emigrants published abroad between 1933 and 1945.

Maintained by Christian Graul. Last updated 1 years ago.

0.5 match 2 stars 4.00 score 9 scripts

vochr

TapeS:Tree Taper Curves and Sorting Based on 'TapeR'

Providing new german-wide 'TapeR' Models and functions for their evaluation. Included are the most common tree species in Germany (Norway spruce, Scots pine, European larch, Douglas fir, Silver fir as well as European beech, Common/Sessile oak and Red oak). Many other species are mapped to them so that 36 tree species / groups can be processed. Single trees are defined by species code, one or multiple diameters in arbitrary measuring height and tree height. The functions then provide information on diameters along the stem, bark thickness, height of diameters, volume of the total or parts of the trunk and total and component above-ground biomass. It is also possible to calculate assortments from the taper curves. Uncertainty information is provided for diameter, volume and component biomass estimation.

Maintained by Christian Vonderach. Last updated 30 days ago.

openblas cpp

0.5 match 3.90 score 1 scripts

imranshakoor

DDPM:Data Sets for Discrete Probability Models

A wide collection of univariate discrete data sets from various applied domains related to distribution theory. The functions allow quick, easy, and efficient access to 100 univariate discrete data sets. The data are related to different applied domains, including medical, reliability analysis, engineering, manufacturing, occupational safety, geological sciences, terrorism, psychology, agriculture, environmental sciences, road traffic accidents, demography, actuarial science, law, and justice. The documentation, along with associated references for further details and uses, is presented.

Maintained by Muhammad Imran. Last updated 2 years ago.

1.6 match 1.00 score

ottlngr

bundesligR:All Final Tables of the Bundesliga

All final tables of Germany's highest football (soccer!) league, the Bundesliga. Contains data from 1964 to 2016.

Maintained by Philipp Ottolinger. Last updated 9 years ago.

0.5 match 1 stars 2.70 score

brry

dwdradar:Read Binary Radar Files from 'DWD' (German Weather Service)

The 'DWD' provides gridded radar data for Germany in binary format. 'dwdradar' reads these files and enables a fast conversion into numerical format.

Maintained by Berry Boessenkool. Last updated 5 months ago.

fortran

0.5 match 1 stars 2.70 score 2 scripts

bachfisch

PHENTHAUproc:Phenology Modelling of Thaumetopoea Processionea

Methods to calculate and present 'PHENTHAUproc', an early warning and decision support system for hazard assessment and control of oak processionary moth (OPM) using local and spatial temperature data. It was created by Halbig et al. 2024 (<doi:10.1016/j.foreco.2023.121525>) at FVA (<https://www.fva-bw.de/en/homepage/>) Forest Research Institute Baden-Wuerttemberg, Germany and at BOKU - University of Natural Ressources and Life Sciences, Vienna, Austria.

Maintained by Lorenz Bachfischer. Last updated 9 months ago.

0.5 match 2.70 score 3 scripts

cran

EUfootball:Football Match Data of European Leagues

Contains match results from seven European men's football leagues, namely Premier League (England), Ligue 1 (France), Bundesliga (Germany), Serie A (Italy), Primera Division (Spain), Eredivisie (The Netherlands), Super Lig (Turkey). Includes Seasons 2010/2011 until 2019/2020 and a set of interesting covariates. Can be used all purposes.

Maintained by Hendrik van der Wurp. Last updated 3 years ago.

0.5 match 2.00 score

arneschoch811

OscillatorGenerator:Generation of Customizable, Discretized Time Series of Oscillating Species

The supplied code allows for the generation of discrete time series of oscillating species. General shapes can be selected by means of individual functions, which are widely customizable by means of function arguments. All code was developed in the Biological Information Processing Group at the BioQuant Center at Heidelberg University, Germany.

Maintained by Arne Schoch. Last updated 7 years ago.

0.5 match 1.00 score 7 scripts

sophiekersting

treeDbalance:Computation of 3D Tree Imbalance

The main goal of the R package 'treeDbalance' is to provide functions for the computation of several measurements of 3D node imbalance and their respective 3D tree imbalance indices, as well as to introduce the new 'phylo3D' format for rooted 3D tree objects. Moreover, it encompasses an example dataset of 3D models of 63 beans in 'phylo3D' format. Please note that this R package was developed alongside the project described in the manuscript 'Measuring 3D tree imbalance of plant models using graph-theoretical approaches' by M. Fischer, S. Kersting, and L. Kühn (2023) <arXiv:2307.14537>, which provides precise mathematical definitions of the measurements. Furthermore, the package contains several helpful functions, for example, some auxiliary functions for computing the ancestors, descendants, and depths of the nodes, which ensures that the computations can be done in linear time. Most functions of 'treeDbalance' require as input a rooted tree in the 'phylo3D' format, an extended 'phylo' format (as introduced in the R package 'ape' 1.9 in November 2006). Such a 'phylo3D' object must have at least two new attributes next to those required by the 'phylo' format: 'node.coord', the coordinates of the nodes, as well as 'edge.weight', the literal weight or volume of the edges. Optional attributes are 'edge.diam', the diameter of the edges, and 'edge.length', the length of the edges. For visualization purposes one can also specify 'edge.type', which ranges from normal cylinder to bud to leaf, as well as 'edge.color' to change the color of the edge depiction. This project was supported by the joint research project DIG-IT! funded by the European Social Fund (ESF), reference: ESF/14-BM-A55-0017/19, and the Ministry of Education, Science and Culture of Mecklenburg-Western Pomerania, Germany, as well as by the the project ArtIGROW, which is a part of the WIR!-Alliance 'ArtIFARM – Artificial Intelligence in Farming' funded by the German Federal Ministry of Education and Research (FKZ: 03WIR4805).

Maintained by Sophie Kersting. Last updated 2 years ago.

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