Showing 86 of total 86 results (show query)
ltrr-arizona-edu
burnr:Forest Fire History Analysis
Tools to read, write, parse, and analyze forest fire history data (e.g. FHX). Described in Malevich et al. (2018) <doi:10.1016/j.dendro.2018.02.005>.
Maintained by Steven Malevich. Last updated 3 years ago.
citationdendrochronologyecologyforestfireplotscientificstatistics
54.8 match 15 stars 5.95 score 59 scripts
predictiveecology
fireSenseUtils:Utilities for Working With the 'fireSense' Group of 'SpaDES' Modules
Utilities for working with the 'fireSense' group of 'SpaDES' modules.
Maintained by Eliot J B McIntire. Last updated 1 months ago.
34.8 match 1 stars 4.51 score 2 scripts
spatstat
spatstat.data:Datasets for 'spatstat' Family
Contains all the datasets for the 'spatstat' family of packages.
Maintained by Adrian Baddeley. Last updated 23 hours ago.
kernel-densitypoint-processspatial-analysisspatial-dataspatial-data-analysisspatstatstatistical-analysisstatistical-methodsstatistical-testsstatistics
14.1 match 6 stars 11.07 score 186 scripts 228 dependents
ecofire
firebehavioR:Prediction of Wildland Fire Behavior and Hazard
Fire behavior prediction models, including the Scott & Reinhardt's (2001) Rothermel Wildland Fire Modelling System <DOI:10.2737/RMRS-RP-29> and Alexander et al.'s (2006) Crown Fire Initiation & Spread model <DOI:10.1016/j.foreco.2006.08.174>. Also contains sample datasets, estimation of fire behavior prediction model inputs (e.g., fuel moisture, canopy characteristics, wind adjustment factor), results visualization, and methods to estimate fire weather hazard.
Maintained by Justin Ziegler. Last updated 6 years ago.
25.6 match 3 stars 3.26 score 12 scripts
princethewinner
FiRE:Finder of Rare Entities (FiRE)
The algorithm assigns rareness/ outlierness score to every sample in voluminous datasets. The algorithm makes multiple estimations of the proximity between a pair of samples, in low-dimensional spaces. To compute proximity, FiRE uses Sketching, a variant of locality sensitive hashing. For more details: Jindal, A., Gupta, P., Jayadeva and Sengupta, D., 2018. Discovery of rare cells from voluminous single cell expression data. Nature Communications, 9(1), p.4719. <doi:10.1038/s41467-018-07234-6>.
Maintained by Prashant Gupta. Last updated 4 years ago.
63.6 match 1.30 score 7 scripts
igraph
igraph:Network Analysis and Visualization
Routines for simple graphs and network analysis. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more.
Maintained by Kirill Müller. Last updated 4 hours ago.
complex-networksgraph-algorithmsgraph-theorymathematicsnetwork-analysisnetwork-graphfortranlibxml2glpkopenblascpp
3.9 match 583 stars 21.11 score 31k scripts 1.9k dependentspredictiveecology
LandR:Landscape Ecosystem Modelling in R
Utilities for 'LandR' suite of landscape simulation models. These models simulate forest vegetation dynamics based on LANDIS-II, and incorporate fire and insect disturbance, as well as other important ecological processes. Models are implemented as 'SpaDES' modules.
Maintained by Eliot J B McIntire. Last updated 5 days ago.
ecological-modellinglandscape-ecosystem-modellingspades
13.4 match 17 stars 6.07 score 12 scripts 4 dependentspredictiveecology
scfmutils:Tools and Utilities for Working With the SCFM Wildfire Simulation Model
The original fire model is described by Cumming et al. (1998), and more accessibly in Armstrong and Cumming (2003). It has recently been implemented as a collection of 'SpaDES' modules by Cumming, McIntire, Eddy, and Chubaty, available from <https://github.com/PredictiveEcology/scfm>.
Maintained by Alex M Chubaty. Last updated 5 days ago.
18.3 match 3.93 score
mobiodiv
mobr:Measurement of Biodiversity
Functions for calculating metrics for the measurement biodiversity and its changes across scales, treatments, and gradients. The methods implemented in this package are described in: Chase, J.M., et al. (2018) <doi:10.1111/ele.13151>, McGlinn, D.J., et al. (2019) <doi:10.1111/2041-210X.13102>, McGlinn, D.J., et al. (2020) <doi:10.1101/851717>, and McGlinn, D.J., et al. (2023) <doi:10.1101/2023.09.19.558467>.
Maintained by Daniel McGlinn. Last updated 5 months ago.
biodiversityconservationecologyrarefactionspeciesstatistics
7.2 match 23 stars 8.59 score 93 scripts
tony2015116
mintyr:Streamlined Data Processing Tools for Genomic Selection
A toolkit for genomic selection in animal breeding with emphasis on multi-breed and multi-trait nested grouping operations. Streamlines iterative analysis workflows when working with 'ASReml-R' package. Includes utility functions for phenotypic data processing commonly used by animal breeders.
Maintained by Guo Meng. Last updated 3 months ago.
13.4 match 4.48 score 2 scripts
freezenik
bamlss:Bayesian Additive Models for Location, Scale, and Shape (and Beyond)
Infrastructure for estimating probabilistic distributional regression models in a Bayesian framework. The distribution parameters may capture location, scale, shape, etc. and every parameter may depend on complex additive terms (fixed, random, smooth, spatial, etc.) similar to a generalized additive model. The conceptual and computational framework is introduced in Umlauf, Klein, Zeileis (2019) <doi:10.1080/10618600.2017.1407325> and the R package in Umlauf, Klein, Simon, Zeileis (2021) <doi:10.18637/jss.v100.i04>.
Maintained by Nikolaus Umlauf. Last updated 5 months ago.
10.0 match 1 stars 5.76 score 239 scripts 5 dependents
kenaho1
asbio:A Collection of Statistical Tools for Biologists
Contains functions from: Aho, K. (2014) Foundational and Applied Statistics for Biologists using R. CRC/Taylor and Francis, Boca Raton, FL, ISBN: 978-1-4398-7338-0.
Maintained by Ken Aho. Last updated 2 months ago.
7.2 match 5 stars 7.32 score 310 scripts 3 dependents
cran
nlme:Linear and Nonlinear Mixed Effects Models
Fit and compare Gaussian linear and nonlinear mixed-effects models.
Maintained by R Core Team. Last updated 2 months ago.
3.8 match 6 stars 13.00 score 13k scripts 8.7k 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.
3.6 match 74 stars 13.23 score 628 scripts 69 dependents
humaniverse
geographr:R package for mapping UK geographies
A package to distribute and compute on UK geographical data.
Maintained by Mike Page. Last updated 12 days ago.
6.8 match 38 stars 6.67 score 408 scripts
tengmcing
spotoroo:Spatiotemporal Clustering of Satellite Hot Spot Data
An algorithm to cluster satellite hot spot data spatially and temporally.
Maintained by Weihao Li. Last updated 4 months ago.
9.2 match 5 stars 4.65 score 18 scripts
stats-uoa
s20x:Functions for University of Auckland Course STATS 201/208 Data Analysis
A set of functions used in teaching STATS 201/208 Data Analysis at the University of Auckland. The functions are designed to make parts of R more accessible to a large undergraduate population who are mostly not statistics majors.
Maintained by James Curran. Last updated 2 years ago.
6.3 match 3 stars 6.40 score 211 scripts 3 dependents
ndphillips
FFTrees:Generate, Visualise, and Evaluate Fast-and-Frugal Decision Trees
Create, visualize, and test fast-and-frugal decision trees (FFTs) using the algorithms and methods described by Phillips, Neth, Woike & Gaissmaier (2017), <doi:10.1017/S1930297500006239>. FFTs are simple and transparent decision trees for solving binary classification problems. FFTs can be preferable to more complex algorithms because they require very little information, are easy to understand and communicate, and are robust against overfitting.
Maintained by Hansjoerg Neth. Last updated 5 months ago.
4.0 match 136 stars 9.53 score 144 scripts
r4goodacademy
R4GoodPersonalFinances:Make Better Financial Decisions
Make informed, data-driven decisions for your personal or household finances. Use tools and methods that are selected carefully to align with academic consensus, bridging the gap between theoretical knowledge and practical application. They assist you in finding optimal asset allocation, preparing for retirement or financial independence, calculating optimal spending, and more. For more details see: Haghani V., White J. (2023, ISBN:978-1-119-74791-8), Idzorek T., Kaplan P. (2024, ISBN:9781952927379).
Maintained by Kamil Wais. Last updated 4 days ago.
financial-independencefireoptimal-asset-allocationsoptimal-spendingpersonal-financesretirement
11.0 match 1 stars 3.40 score
cliffordlai
bestglm:Best Subset GLM and Regression Utilities
Best subset glm using information criteria or cross-validation, carried by using 'leaps' algorithm (Furnival and Wilson, 1974) <doi:10.2307/1267601> or complete enumeration (Morgan and Tatar, 1972) <doi:10.1080/00401706.1972.10488918>. Implements PCR and PLS using AIC/BIC. Implements one-standard deviation rule for use with the 'caret' package.
Maintained by Yuanhao Lai. Last updated 5 years ago.
7.0 match 5.29 score 418 scripts 5 dependents
kearutherford
BerkeleyForestsAnalytics:Compute and Summarize Core Forest Metrics from Field Data
A suite of open-source R functions designed to produce standard metrics for forest management and ecology from forest inventory data. The overarching goal is to minimize potential inconsistencies introduced by the algorithms used to compute and summarize core forest metrics. Learn more about the purpose of the package and the specific algorithms used in the package at <https://github.com/kearutherford/BerkeleyForestsAnalytics>.
Maintained by Kea Rutherford. Last updated 2 months ago.
6.0 match 7 stars 5.50 score 4 scripts
emf-creaf
medfate:Mediterranean Forest Simulation
Simulate Mediterranean forest functioning and dynamics using cohort-based description of vegetation [De Caceres et al. (2015) <doi:10.1016/j.agrformet.2015.06.012>; De Caceres et al. (2021) <doi:10.1016/j.agrformet.2020.108233>].
Maintained by Miquel De Cáceres. Last updated 11 days ago.
4.3 match 11 stars 7.49 score 183 scripts 1 dependents
jedalong
stampr:Spatial Temporal Analysis of Moving Polygons
Perform spatial temporal analysis of moving polygons; a longstanding analysis problem in Geographic Information Systems. Facilitates directional analysis, distance analysis, and some other simple functionality for examining spatial-temporal patterns of moving polygons.
Maintained by Jed Long. Last updated 12 months ago.
8.0 match 4 stars 3.81 score 16 scripts
jagm03
kernstadapt:Adaptive Kernel Estimators for Point Process Intensities on Linear Networks
Adaptive estimation of the first-order intensity function of a spatio-temporal point process using kernels and variable bandwidths. The methodology used for estimation is presented in González and Moraga (2022). <doi:10.48550/arXiv.2208.12026>.
Maintained by Jonatan A González. Last updated 6 months ago.
5.3 match 6 stars 5.51 score 12 scripts
thomasp85
fiery:A Lightweight and Flexible Web Framework
A very flexible framework for building server side logic in R. The framework is unopinionated when it comes to how HTTP requests and WebSocket messages are handled and supports all levels of app complexity; from serving static content to full-blown dynamic web-apps. Fiery does not hold your hand as much as e.g. the shiny package does, but instead sets you free to create your web app the way you want.
Maintained by Thomas Lin Pedersen. Last updated 16 hours ago.
http-serverhttpuvwebserverwebsocket-server
3.3 match 248 stars 8.31 score 34 scripts
bpfaff
QRM:Provides R-Language Code to Examine Quantitative Risk Management Concepts
Provides functions/methods to accompany the book Quantitative Risk Management: Concepts, Techniques and Tools by Alexander J. McNeil, Ruediger Frey, and Paul Embrechts.
Maintained by Bernhard Pfaff. Last updated 5 years ago.
6.0 match 4.53 score 181 scripts 5 dependents
beerda
lfl:Linguistic Fuzzy Logic
Various algorithms related to linguistic fuzzy logic: mining for linguistic fuzzy association rules, composition of fuzzy relations, performing perception-based logical deduction (PbLD), and forecasting time-series using fuzzy rule-based ensemble (FRBE). The package also contains basic fuzzy-related algebraic functions capable of handling missing values in different styles (Bochvar, Sobocinski, Kleene etc.), computation of Sugeno integrals and fuzzy transform.
Maintained by Michal Burda. Last updated 5 months ago.
association-rulesforecast-modelfuzzy-logicinference-rulescppopenmp
5.1 match 8 stars 5.35 score 28 scripts
statmanrobin
Lock5Data:Datasets for "Statistics: UnLocking the Power of Data"
Datasets for the third edition of "Statistics: Unlocking the Power of Data" by Lock^5 Includes version of datasets from earlier editions.
Maintained by Robin Lock. Last updated 4 years ago.
9.0 match 2.90 score 322 scripts
elliottsmeds
lacunr:Fast 3D Lacunarity for Voxel Data
Calculates 3D lacunarity from voxel data. It is designed for use with point clouds generated from Light Detection And Ranging (LiDAR) scans in order to measure the spatial heterogeneity of 3-dimensional structures such as forest stands. It provides fast 'C++' functions to efficiently bin point cloud data into voxels and calculate lacunarity using different variants of the gliding-box algorithm originated by Allain & Cloitre (1991) <doi:10.1103/PhysRevA.44.3552>.
Maintained by Elliott Smeds. Last updated 9 months ago.
4.6 match 4 stars 5.56 score 7 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.
11.2 match 2.28 score 38 scripts
mazamascience
AirMonitor:Air Quality Data Analysis
Utilities for working with hourly air quality monitoring data with a focus on small particulates (PM2.5). A compact data model is structured as a list with two dataframes. A 'meta' dataframe contains spatial and measuring device metadata associated with deployments at known locations. A 'data' dataframe contains a 'datetime' column followed by columns of measurements associated with each "device-deployment". Algorithms to calculate NowCast and the associated Air Quality Index (AQI) are defined at the US Environmental Projection Agency AirNow program: <https://document.airnow.gov/technical-assistance-document-for-the-reporting-of-daily-air-quailty.pdf>.
Maintained by Jonathan Callahan. Last updated 6 months ago.
3.8 match 7 stars 6.57 score 178 scripts
treynkens
ReIns:Functions from "Reinsurance: Actuarial and Statistical Aspects"
Functions from the book "Reinsurance: Actuarial and Statistical Aspects" (2017) by Hansjoerg Albrecher, Jan Beirlant and Jef Teugels <https://www.wiley.com/en-us/Reinsurance%3A+Actuarial+and+Statistical+Aspects-p-9780470772683>.
Maintained by Tom Reynkens. Last updated 4 months ago.
extremesreinsurancerisk-analysiscpp
3.8 match 22 stars 6.31 score 186 scripts
sbgraves237
Ecdat:Data Sets for Econometrics
Data sets for econometrics, including political science.
Maintained by Spencer Graves. Last updated 4 months ago.
3.2 match 2 stars 7.25 score 740 scripts 3 dependents
schochastics
networkdata:Repository of Network Datasets
The package contains a large collection of network dataset with different context. This includes social networks, animal networks and movie networks. All datasets are in 'igraph' format.
Maintained by David Schoch. Last updated 12 months ago.
4.5 match 143 stars 5.01 score 143 scriptsbpfaff
evir:Extreme Values in R
Functions for extreme value theory, which may be divided into the following groups; exploratory data analysis, block maxima, peaks over thresholds (univariate and bivariate), point processes, gev/gpd distributions.
Maintained by Bernhard Pfaff. Last updated 8 years ago.
3.8 match 2 stars 5.89 score 211 scripts 6 dependentsemf-creaf
medfateland:Mediterranean Landscape Simulation
Simulate forest hydrology, forest function and dynamics over landscapes [De Caceres et al. (2015) <doi:10.1016/j.agrformet.2015.06.012>]. Parallelization is allowed in several simulation functions and simulations may be conducted including spatial processes such as lateral water transfer and seed dispersal.
Maintained by Miquel De Cáceres. Last updated 27 days ago.
4.0 match 5 stars 5.41 score 41 scripts
manueleleonelli
bnRep:A Repository of Bayesian Networks from the Academic Literature
A collection of Bayesian networks (discrete, Gaussian, and conditional linear Gaussian) collated from recent academic literature. The 'bnRep_summary' object provides an overview of the Bayesian networks in the repository and the package documentation includes details about the variables in each network. A Shiny app to explore the repository can be launched with 'bnRep_app()' and is available online at <https://manueleleonelli.shinyapps.io/bnRep>. For details see <https://github.com/manueleleonelli/bnRep>.
Maintained by Manuele Leonelli. Last updated 6 months ago.
4.0 match 5 stars 5.10 score 7 scriptsmazamascience
MazamaTimeSeries:Core Functionality for Environmental Time Series
Utility functions for working with environmental time series data from known locations. The compact data model is structured as a list with two dataframes. A 'meta' dataframe contains spatial and measuring device metadata associated with deployments at known locations. A 'data' dataframe contains a 'datetime' column followed by columns of measurements associated with each "device-deployment". Ephemerides calculations are based on code originally found in NOAA's "Solar Calculator" <https://gml.noaa.gov/grad/solcalc/>.
Maintained by Jonathan Callahan. Last updated 1 years ago.
3.8 match 5.27 score 62 scripts 1 dependents
bentaylor1
spatsurv:Bayesian Spatial Survival Analysis with Parametric Proportional Hazards Models
Bayesian inference for parametric proportional hazards spatial survival models; flexible spatial survival models. See Benjamin M. Taylor, Barry S. Rowlingson (2017) <doi:10.18637/jss.v077.i04>.
Maintained by Benjamin M. Taylor. Last updated 1 years ago.
9.4 match 1 stars 2.03 score 10 scripts
magnusdv
dvir:Disaster Victim Identification
Joint DNA-based disaster victim identification (DVI), as described in Vigeland and Egeland (2021) <doi:10.21203/rs.3.rs-296414/v1>. Identification is performed by optimising the joint likelihood of all victim samples and reference individuals. Individual identification probabilities, conditional on all available information, are derived from the joint solution in the form of posterior pairing probabilities. 'dvir' is part of the 'pedsuite' collection of packages for pedigree analysis.
Maintained by Magnus Dehli Vigeland. Last updated 3 months ago.
3.6 match 3 stars 5.05 score 21 scripts 1 dependents
jrodu
qqboxplot:Implementation of the Q-Q Boxplot
A system to implement the Q-Q boxplot. It is implemented as an extension to 'ggplot2'. The Q-Q boxplot is an amalgam of the boxplot and the Q-Q plot and allows the user to rapidly examine summary statistics and tail behavior for multiple distributions in the same pane. As an extension of the 'ggplot2' implementation of the boxplot, possible modifications to the boxplot extend to the Q-Q boxplot.
Maintained by Jordan Rodu. Last updated 2 years ago.
3.8 match 2 stars 4.76 score 29 scriptsbeerda
nuggets:Extensible Data Pattern Searching Framework
Extensible framework for subgroup discovery (Atzmueller (2015) <doi:10.1002/widm.1144>), contrast patterns (Chen (2022) <doi:10.48550/arXiv.2209.13556>), emerging patterns (Dong (1999) <doi:10.1145/312129.312191>), association rules (Agrawal (1994) <https://www.vldb.org/conf/1994/P487.PDF>) and conditional correlations (Hájek (1978) <doi:10.1007/978-3-642-66943-9>). Both crisp (Boolean, binary) and fuzzy data are supported. It generates conditions in the form of elementary conjunctions, evaluates them on a dataset and checks the induced sub-data for interesting statistical properties. A user-defined function may be defined to evaluate on each generated condition to search for custom patterns.
Maintained by Michal Burda. Last updated 5 days ago.
association-rule-miningcontrast-pattern-miningdata-miningfuzzyknowledge-discoverypattern-recognitioncppopenmp
3.3 match 2 stars 5.38 score 10 scriptscran
kSamples:K-Sample Rank Tests and their Combinations
Compares k samples using the Anderson-Darling test, Kruskal-Wallis type tests with different rank score criteria, Steel's multiple comparison test, and the Jonckheere-Terpstra (JT) test. It computes asymptotic, simulated or (limited) exact P-values, all valid under randomization, with or without ties, or conditionally under random sampling from populations, given the observed tie pattern. Except for Steel's test and the JT test it also combines these tests across several blocks of samples. Also analyzed are 2 x t contingency tables and their blocked combinations using the Kruskal-Wallis criterion. Steel's test is inverted to provide simultaneous confidence bounds for shift parameters. A plotting function compares tail probabilities obtained under asymptotic approximation with those obtained via simulation or exact calculations.
Maintained by Fritz Scholz. Last updated 1 years ago.
3.6 match 1 stars 4.84 score 47 dependents
ropenspain
climaemet:Climate AEMET Tools
Tools to download the climatic data of the Spanish Meteorological Agency (AEMET) directly from R using their API and create scientific graphs (climate charts, trend analysis of climate time series, temperature and precipitation anomalies maps, warming stripes graphics, climatograms, etc.).
Maintained by Diego Hernangómez. Last updated 1 months ago.
aemetclimatedataforecast-apiropenspainsciencespainweather-api
2.0 match 43 stars 8.32 score 59 scripts
bayesball
ProbBayes:Probability and Bayesian Modeling
Functions and datasets to accompany J. Albert and J. Hu, "Probability and Bayesian Modeling", CRC Press, (2019, ISBN: 1138492566).
Maintained by Jim Albert. Last updated 4 years ago.
3.6 match 5 stars 4.30 score 80 scriptspredictiveecology
SpaDES.core:Core Utilities for Developing and Running Spatially Explicit Discrete Event Models
Provides the core framework for a discrete event system to implement a complete data-to-decisions, reproducible workflow. The core components facilitate the development of modular pieces, and enable the user to include additional functionality by running user-built modules. Includes conditional scheduling, restart after interruption, packaging of reusable modules, tools for developing arbitrary automated workflows, automated interweaving of modules of different temporal resolution, and tools for visualizing and understanding the within-project dependencies. The suggested package 'NLMR' can be installed from the repository (<https://PredictiveEcology.r-universe.dev>).
Maintained by Eliot J B McIntire. Last updated 20 days ago.
discrete-events-simulationssimulation-frameworksimulation-modeling
1.3 match 10 stars 10.61 score 142 scripts 6 dependentsmanueleleonelli
bnmonitor:An Implementation of Sensitivity Analysis in Bayesian Networks
An implementation of sensitivity and robustness methods in Bayesian networks in R. It includes methods to perform parameter variations via a variety of co-variation schemes, to compute sensitivity functions and to quantify the dissimilarity of two Bayesian networks via distances and divergences. It further includes diagnostic methods to assess the goodness of fit of a Bayesian networks to data, including global, node and parent-child monitors. Reference: M. Leonelli, R. Ramanathan, R.L. Wilkerson (2022) <doi:10.1016/j.knosys.2023.110882>.
Maintained by Manuele Leonelli. Last updated 6 months ago.
3.6 match 3 stars 3.92 score 14 scripts
steps-dev
steps:Spatially- and Temporally-Explicit Population Simulator
Software to simulate population change across space and time. Visintin et al. (2020) <doi:10.1111/2041-210X.13354>.
Maintained by Casey Visintin. Last updated 1 years ago.
2.0 match 18 stars 6.66 score 84 scriptscran
FuzzyR:Fuzzy Logic Toolkit for R
Design and simulate fuzzy logic systems using Type-1 and Interval Type-2 Fuzzy Logic. This toolkit includes with graphical user interface (GUI) and an adaptive neuro- fuzzy inference system (ANFIS). This toolkit is a continuation from the previous package ('FuzzyToolkitUoN'). Produced by the Intelligent Modelling & Analysis Group (IMA) and Lab for UnCertainty In Data and decision making (LUCID), University of Nottingham. A big thank you to the many people who have contributed to the development/evaluation of the toolbox. Please cite the toolbox and the corresponding paper <doi:10.1109/FUZZ48607.2020.9177780> when using it. More related papers can be found in the NEWS.
Maintained by Chao Chen. Last updated 4 years ago.
8.3 match 3 stars 1.48 score
jmcurran
jaggR:Supporting Files and Functions for the Book Bayesian Modelling with 'JAGS'
All the data and functions used to produce the book. We do not expect most people to use the package for any other reason than to get simple access to the 'JAGS' model files, the data, and perhaps run some of the simple examples. The authors of the book are David Lucy (now sadly deceased) and James Curran. It is anticipated that a manuscript will be provided to Taylor and Francis around Augus 2020, with bibliographic details to follow at that point. Until such time, further information can be obtained by emailing James Curran.
Maintained by James Curran. Last updated 1 years ago.
6.1 match 2.00 score 1 scripts
wjbraun
MPV:Data Sets from Montgomery, Peck and Vining
Most of this package consists of data sets from the textbook Introduction to Linear Regression Analysis, by Montgomery, Peck and Vining. All data sets from the 3rd edition are included and many from the 6th edition are also included. The package also contains some additional data sets and functions.
Maintained by W.J. Braun. Last updated 7 months ago.
3.6 match 3.36 score 193 scripts 1 dependents
remkoduursma
lgrdata:Example Datasets for a Learning Guide to R
A largish collection of example datasets, including several classics. Many of these datasets are well suited for regression, classification, and visualization.
Maintained by Remko Duursma. Last updated 6 years ago.
3.8 match 3.11 score 26 scriptscran
erer:Empirical Research in Economics with R
Several functions, datasets, and sample codes related to empirical research in economics are included. They cover the marginal effects for binary or ordered choice models, static and dynamic Almost Ideal Demand System (AIDS) models, and a typical event analysis in finance.
Maintained by Changyou Sun. Last updated 6 months ago.
3.3 match 3 stars 3.34 score 211 scripts 1 dependents
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.
3.4 match 3 stars 3.18 score 39 scripts 3 dependents
davidcsterratt
retistruct:Retinal Reconstruction Program
Reconstructs retinae by morphing a flat surface with cuts (a dissected flat-mount retina) onto a curvilinear surface (the standard retinal shape). It can estimate the position of a point on the intact adult retina to within 8 degrees of arc (3.6% of nasotemporal axis). The coordinates in reconstructed retinae can be transformed to visuotopic coordinates. For more details see Sterratt, D. C., Lyngholm, D., Willshaw, D. J. and Thompson, I. D. (2013) <doi:10.1371/journal.pcbi.1002921>.
Maintained by David C. Sterratt. Last updated 11 days ago.
2.3 match 8 stars 4.60 score
stevencarlislewalker
MEMSS:Data Sets from Mixed-Effects Models in S
Data sets and sample analyses from Pinheiro and Bates, "Mixed-effects Models in S and S-PLUS" (Springer, 2000).
Maintained by Steve Walker. Last updated 6 years ago.
3.8 match 2.62 score 102 scripts
ropensci
fireexposuR:Compute and Visualize Wildfire Exposure
This package computes and visualizes wildfire exposure using the methods documented in a series of scientific publications.
Maintained by Air Forbes. Last updated 21 days ago.
1.9 match 5 stars 5.23 score 4 scripts
nononoexe
kyotocities:Kyoto Prefecture Administrative District Data
This package provides administrative district data of Kyoto Prefecture, Japan.
Maintained by Keisuke ANDO. Last updated 1 years ago.
5.5 match 1.70 score 3 scripts
aparamon
mar1s:Multiplicative AR(1) with Seasonal Processes
Multiplicative AR(1) with Seasonal is a stochastic process model built on top of AR(1). The package provides the following procedures for MAR(1)S processes: fit, compose, decompose, advanced simulate and predict.
Maintained by Andrey Paramonov. Last updated 7 years ago.
3.4 match 2.70 score 8 scripts
csafe-isu
cmcR:An Implementation of the 'Congruent Matching Cells' Method
An open-source implementation of the 'Congruent Matching Cells' method for cartridge case identification as proposed by Song (2013) <https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=911193> as well as an extension of the method proposed by Tong et al. (2015) <doi:10.6028/jres.120.008>. Provides a wide range of pre, inter, and post-processing options when working with cartridge case scan data and their associated comparisons. See the cmcR package website for more details and examples.
Maintained by Joe Zemmels. Last updated 2 years ago.
1.6 match 4 stars 5.68 score 60 scripts
mattmar
rasterdiv:Diversity Indices for Numerical Matrices
Provides methods to calculate diversity indices on numerical matrices based on information theory, as described in Rocchini, Marcantonio and Ricotta (2017) <doi:10.1016/j.ecolind.2016.07.039>, and Rocchini et al. (2021) <doi:10.1101/2021.01.23.427872>.
Maintained by Matteo Marcantonio. Last updated 21 days ago.
1.1 match 15 stars 7.65 score 44 scripts 1 dependents
gianmarcoalberti
CAinterprTools:Graphical Aid in Correspondence Analysis Interpretation and Significance Testings
Allows to plot a number of information related to the interpretation of Correspondence Analysis' results. It provides the facility to plot the contribution of rows and columns categories to the principal dimensions, the quality of points display on selected dimensions, the correlation of row and column categories to selected dimensions, etc. It also allows to assess which dimension(s) is important for the data structure interpretation by means of different statistics and tests. The package also offers the facility to plot the permuted distribution of the table total inertia as well as of the inertia accounted for by pairs of selected dimensions. Different facilities are also provided that aim to produce interpretation-oriented scatterplots. Reference: Alberti 2015 <doi:10.1016/j.softx.2015.07.001>.
Maintained by Gianmarco Alberti. Last updated 5 years ago.
3.3 match 2.52 score 33 scripts
jrjthompson
nonsmooth:Nonparametric Methods for Smoothing Nonsmooth Data
Nonparametric methods for smoothing regression function data with change-points, utilizing range kernels for iterative and anisotropic smoothing methods. For further details, see the paper by John R.J. Thompson (2024) <doi:10.1080/02664763.2024.2352759>.
Maintained by John R.J. Thompson. Last updated 9 months ago.
change-pointchange-point-modelingchangepointkernelkernel-methodsnonparametric-regressionsmoothingsmoothing-methods
3.4 match 2.48 score
homerhanumat
tigerData:GC Statistics Datasets
A small, informal collection of datasets useful in undergraduate statistics courses.
Maintained by Homer White. Last updated 1 months ago.
3.8 match 2.18 score 6 scripts
ryo-n7
tvthemes:TV Show Themes and Color Palettes for 'ggplot2' Graphics
Contains various 'ggplot2' themes and color palettes based on TV shows such as 'Game of Thrones', 'Brooklyn Nine-Nine', 'Avatar: The Last Airbender', 'Spongebob Squarepants', and more.
Maintained by Ryo Nakagawara. Last updated 1 years ago.
color-schemedata-vizggplot2ggplot2-themespalette-colorstv-seriestv-shows
1.1 match 140 stars 7.34 score 103 scripts
spectrumhan
RCMinification:Random Coefficient Minification Time Series Models
Data sets, and functions for simulating and fitting nonlinear time series with minification and nonparametric models.
Maintained by L. Han. Last updated 2 years ago.
7.8 match 1.00 score
extremestats
DATAstudio:The Research Data Warehouse of Miguel de Carvalho
Pulls together a collection of datasets from Miguel de Carvalho research articles. Including, for example: - de Carvalho (2012) <doi:10.1016/j.jspi.2011.08.016>; - de Carvalho et al (2012) <doi:10.1080/03610926.2012.709905>; - de Carvalho et al (2012) <doi:10.1016/j.econlet.2011.09.007>); - de Carvalho and Davison (2014) <doi:10.1080/01621459.2013.872651>; - de Carvalho and Rua (2017) <doi:10.1016/j.ijforecast.2015.09.004>; - de Carvalho et al (2023) <doi:10.1002/sta4.560>; - de Carvalho et al (2022) <doi:10.1007/s13253-021-00469-9>; - Palacios et al (2024) <doi:10.1214/24-BA1420>.
Maintained by Miguel de Carvalho. Last updated 16 hours ago.
7.6 match 1.00 score 2 scriptsemf-creaf
vegclust:Fuzzy Clustering of Vegetation Data
A set of functions to: (1) perform fuzzy clustering of vegetation data (De Caceres et al, 2010) <doi:10.1111/j.1654-1103.2010.01211.x>; (2) to assess ecological community similarity on the basis of structure and composition (De Caceres et al, 2013) <doi:10.1111/2041-210X.12116>.
Maintained by Miquel De Cáceres. Last updated 8 months ago.
1.2 match 2 stars 6.28 score 52 scripts 6 dependentscran
subspace:Interface to OpenSubspace
An interface to 'OpenSubspace', an open source framework for evaluation and exploration of subspace clustering algorithms in WEKA (see <http://dme.rwth-aachen.de/de/opensubspace> for more information). Also performs visualization.
Maintained by Marwan Hassani. Last updated 9 years ago.
4.9 match 1.48 score 1 dependentspredictiveecology
pemisc:Miscellaneous Utilities Developed by the Predictive Ecology Group
Miscellaneous utilities developed by the Predictive Ecology Group (<http://predictiveecology.org>).
Maintained by Eliot J B McIntire. Last updated 3 months ago.
landscape-ecologysimulation-modeling
1.7 match 1 stars 3.91 score 3 scripts 6 dependentscran
SMPracticals:Practicals for Use with Davison (2003) Statistical Models
Contains the datasets and a few functions for use with the practicals outlined in Appendix A of the book Statistical Models (Davison, 2003, Cambridge University Press), which can be found at <doi:10.1017/CBO9780511815850>.
Maintained by Alessandra R. Brazzale. Last updated 1 years ago.
3.8 match 1.48 score 1 dependents
rluo
pro:Point-Process Response Model for Optogenetics
Optogenetics is a new tool to study neuronal circuits that have been genetically modified to allow stimulation by flashes of light. This package implements the methodological framework, Point-process Response model for Optogenetics (PRO), for analyzing data from these experiments. This method provides explicit nonlinear transformations to link the flash point-process with the spiking point-process. Such response functions can be used to provide important and interpretable scientific insights into the properties of the biophysical process that governs neural spiking in response to optogenetic stimulation.
Maintained by Xi (Rossi) LUO. Last updated 10 years ago.
1.7 match 3.00 score 4 scripts
cseljatib
datana:Datasets and Functions to Accompany Analisis De Datos Con R
Datasets and functions to accompany the book 'Analisis de datos con el programa estadistico R: una introduccion aplicada' by Salas-Eljatib (2021, ISBN: 9789566086109). The package helps carry out data management, exploratory analyses, and model fitting.
Maintained by Christian Salas-Eljatib. Last updated 6 months ago.
3.8 match 1.30 score 1 scripts
kevin444
diagL1:Routines for Fit, Inference and Diagnostics in Linear L1 and LAD Models
Diagnostics for linear L1 regression (also known as LAD - Least Absolute Deviations), including: estimation, confidence intervals, tests of hypotheses, measures of leverage, methods of diagnostics for L1 regression, special diagnostics graphs and measures of leverage. The algorithms are based in Dielman (2005) <doi:10.1080/0094965042000223680>, Elian et al. (2000) <doi:10.1080/03610920008832518> and Dodge (1997) <doi:10.1006/jmva.1997.1666>. This package builds on the 'quantreg' package, which is a well-established package for tuning quantile regression models. There are also tests to verify if the errors have a Laplace distribution based on the work of Puig and Stephens (2000) <doi:10.2307/1270952>.
Maintained by Kevin Allan Sales Rodrigues. Last updated 1 years ago.
4.5 match 1.00 scorepredictiveecology
LandWebUtils:Helper functions for the LandWeb project
Additional utilities for LandWeb analyses.
Maintained by Alex M Chubaty. Last updated 1 months ago.
landscape-ecologysimulation-modeling
1.7 match 2 stars 2.60 score 2 scriptscran
tea:Threshold Estimation Approaches
Different approaches for selecting the threshold in generalized Pareto distributions. Most of them are based on minimizing the AMSE-criterion or at least by reducing the bias of the assumed GPD-model. Others are heuristically motivated by searching for stable sample paths, i.e. a nearly constant region of the tail index estimator with respect to k, which is the number of data in the tail. The third class is motivated by graphical inspection. In addition, a sequential testing procedure for GPD-GoF-tests is also implemented here.
Maintained by Johannes Ossberger. Last updated 5 years ago.
3.8 match 1.00 scorecran
RonFHIR:Read and Search Interface to the 'HL7 FHIR' REST API
R on FHIR is an easy to use wrapper around the 'HL7 FHIR' REST API (STU 3 and R4). It provides tools to easily read and search resources on a FHIR server and brings the results into the R environment. R on FHIR is based on the FhirClient of the official 'HL7 FHIR .NET API', also made by Firely.
Maintained by Sander Laverman. Last updated 5 years ago.
2.2 match 1.70 scoreextremestats
spearmanCI:Jackknife Euclidean / Empirical Likelihood Inference for Spearman's Rho
Functions for conducting jackknife Euclidean / empirical likelihood inference for Spearman's rho (de Carvalho and Marques (2012) <doi:10.1080/10920277.2012.10597644>).
Maintained by Miguel de Carvalho. Last updated 10 months ago.
3.6 match 1.00 score 2 scriptspredictiveecology
usefulFuns:Useful functions for my modules and packages
A few functions and wrappers around useful code.
Maintained by Tati Micheletti. Last updated 4 months ago.
1.9 match 1.70 score 1 scripts
mharinga
spatialrisk:Calculating Spatial Risk
Methods for spatial risk calculations. It offers an efficient approach to determine the sum of all observations within a circle of a certain radius. This might be beneficial for insurers who are required (by a recent European Commission regulation) to determine the maximum value of insured fire risk policies of all buildings that are partly or fully located within a circle of a radius of 200m. See Church (1974) <doi:10.1007/BF01942293> for a description of the problem.
Maintained by Martin Haringa. Last updated 7 months ago.
actuarial-scienceinsurancesolvency-iispatialcpp
0.5 match 19 stars 5.06 score 30 scripts
bupaverse
petrinetR:Building, Visualizing, Exporting and Replaying Petri Nets
Functions for the construction of Petri Nets. Petri Nets can be replayed by firing enabled transitions. Silent transitions will be hidden by the execution handler. Also includes functionalities for the visualization of Petri Nets and export of Petri Nets to PNML (Petri Net Markup Language) files.
Maintained by Gert Janssenswillen. Last updated 2 years ago.
0.5 match 4 stars 4.31 score 17 scripts 1 dependents
rupppy
PiC:Pointcloud Interactive Computation for Forest Structure Analysis
Provides advanced algorithms for analyzing pointcloud data in forestry applications. Key features include fast voxelization of large datasets; segmentation of point clouds into forest floor, understorey, canopy, and wood components. The package enables efficient processing of large-scale forest pointcloud data, offering insights into forest structure, connectivity, and fire risk assessment. Algorithms to analyze pointcloud data (.xyz input file). For more details, see Ferrara & Arrizza (2025) <https://hdl.handle.net/20.500.14243/533471>. For single tree segmentation details, see Ferrara et al. (2018) <doi:10.1016/j.agrformet.2018.04.008>.
Maintained by Roberto Ferrara. Last updated 29 days ago.
0.5 match 3.88 score 19 scripts
erichare
bulletr:Algorithms for Matching Bullet Lands
Analyze bullet lands using nonparametric methods. We provide a reading routine for x3p files (see <http://www.openfmc.org> for more information) and a host of analysis functions designed to assess the probability that two bullets were fired from the same gun barrel.
Maintained by Eric Hare. Last updated 7 years ago.
0.5 match 3.72 score 52 scripts
fergusreiggracia
ClimInd:Climate Indices
Computes 138 standard climate indices at monthly, seasonal and annual resolution. These indices were selected, based on their direct and significant impacts on target sectors, after a thorough review of the literature in the field of extreme weather events and natural hazards. Overall, the selected indices characterize different aspects of the frequency, intensity and duration of extreme events, and are derived from a broad set of climatic variables, including surface air temperature, precipitation, relative humidity, wind speed, cloudiness, solar radiation, and snow cover. The 138 indices have been classified as follow: Temperature based indices (42), Precipitation based indices (22), Bioclimatic indices (21), Wind-based indices (5), Aridity/ continentality indices (10), Snow-based indices (13), Cloud/radiation based indices (6), Drought indices (8), Fire indices (5), Tourism indices (5).
Maintained by Fergus Reig-Gracia. Last updated 7 days ago.
0.5 match 3.64 score 22 scripts
mfacevedol
renpow:Renewable Power Systems and the Environment
Supports calculations and visualization for renewable power systems and the environment. Analysis and graphical tools for DC and AC circuits and their use in electric power systems. Analysis and graphical tools for thermodynamic cycles and heat engines, supporting efficiency calculations in coal-fired power plants, gas-fired power plants. Calculations of carbon emissions and atmospheric CO2 dynamics. Analysis of power flow and demand for the grid, as well as power models for microgrids and off-grid systems. Provides resource and power generation for hydro power, wind power, and solar power.
Maintained by Miguel F. Acevedo. Last updated 7 years ago.
0.8 match 1.48 score 30 scripts
jalpa-dave
RGoogleAnalyticsPremium:Unsampled Data in R for Google Analytics Premium Accounts
It fires a query to the API to get the unsampled data in R for Google Analytics Premium Accounts. It retrieves data from the Google drive document and stores it into the local drive. The path to the excel file is returned by this package. The user can read data from the excel file into R using read.csv() function.
Maintained by Jalpa Joshi Dave. Last updated 9 years ago.
0.5 match 1.00 score 2 scripts