Showing 59 of total 59 results (show query)
nowosad
spData:Datasets for Spatial Analysis
Diverse spatial datasets for demonstrating, benchmarking and teaching spatial data analysis. It includes R data of class sf (defined by the package 'sf'), Spatial ('sp'), and nb ('spdep'). Unlike other spatial data packages such as 'rnaturalearth' and 'maps', it also contains data stored in a range of file formats including GeoJSON and GeoPackage, but from version 2.3.4, no longer ESRI Shapefile - use GeoPackage instead. Some of the datasets are designed to illustrate specific analysis techniques. cycle_hire() and cycle_hire_osm(), for example, is designed to illustrate point pattern analysis techniques.
Maintained by Jakub Nowosad. Last updated 2 months ago.
datasetsrastersfspspatialspdep
8.8 match 82 stars 13.23 score 3.4k scripts 116 dependents
katilingban
paleta:Collection of Palettes, Themes, and Theme Components
A collection of palettes, themes, and theme components based on publicly available branding guidelines of various non-governmental organisations, government agencies, and United Nations units.
Maintained by Ernest Guevarra. Last updated 2 months ago.
24.6 match 2 stars 4.48 score 8 scripts
rspatial
geodata:Download Geographic Data
Functions for downloading of geographic data for use in spatial analysis and mapping. The package facilitates access to climate, crops, elevation, land use, soil, species occurrence, accessibility, administrative boundaries and other data.
Maintained by Robert J. Hijmans. Last updated 1 months ago.
9.3 match 162 stars 10.75 score 1.5k scripts 7 dependents
afrimapr
afrihealthsites:Geographic locations of African health facilities from different sources
African healthsite locations from healthsites.io and WHO/KEMRI-WELLCOME.
Maintained by Andy South. Last updated 4 years ago.
20.5 match 31 stars 4.79 score 40 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.
7.2 match 125 stars 11.02 score 1.7k scripts 2 dependents
adeverse
ade4:Analysis of Ecological Data: Exploratory and Euclidean Methods in Environmental Sciences
Tools for multivariate data analysis. Several methods are provided for the analysis (i.e., ordination) of one-table (e.g., principal component analysis, correspondence analysis), two-table (e.g., coinertia analysis, redundancy analysis), three-table (e.g., RLQ analysis) and K-table (e.g., STATIS, multiple coinertia analysis). The philosophy of the package is described in Dray and Dufour (2007) <doi:10.18637/jss.v022.i04>.
Maintained by Aurélie Siberchicot. Last updated 13 days ago.
3.6 match 39 stars 14.96 score 2.2k scripts 256 dependents
oxfordihtm
africalaws:Interface to the Laws.Africa API
Laws.Africa <https://laws.africa> endeavours to facilitate African governments in offering sustainable, free access to dependable digital laws. It aims to achieve this by ensuring that the laws are easily accessible, user-friendly, educational, and reusable. This initiative seeks to empower citizens with knowledge of their legal rights and obligations while promoting transparency and accountability within the legal system. Laws.Africa offers a content application programming interface (API) to fetch legislative content and metadata. The API is a read-only API for listing and fetching published versions of legislative works. This package interfaces with this API to allow access using R.
Maintained by Ernest Guevarra. Last updated 5 months ago.
18.6 match 3 stars 2.88 scorekatilingban
ppitables:Lookup Tables to Generate Poverty Likelihoods and Rates using the Poverty Probability Index (PPI)
The Poverty Probability Index (PPI) is a poverty measurement tool for organizations and businesses with a mission to serve the poor. The PPI is statistically-sound, yet simple to use: the answers to 10 questions about a household's characteristics and asset ownership are scored to compute the likelihood that the household is living below the poverty line - or above by only a narrow margin. This package contains country-specific lookup data tables used as reference to determine the poverty likelihood of a household based on their score from the country-specific PPI questionnaire. These lookup tables have been extracted from documentation of the PPI found at <https://www.povertyindex.org> and managed by Innovations for Poverty Action <https://poverty-action.org/>.
Maintained by Ernest Guevarra. Last updated 3 days ago.
datapovertypoverty-likelihoodspoverty-probabilityppi
6.7 match 6 stars 6.43 score 89 scripts
r-a-dobson
dynamicSDM:Species Distribution and Abundance Modelling at High Spatio-Temporal Resolution
A collection of novel tools for generating species distribution and abundance models (SDM) that are dynamic through both space and time. These highly flexible functions incorporate spatial and temporal aspects across key SDM stages; including when cleaning and filtering species occurrence data, generating pseudo-absence records, assessing and correcting sampling biases and autocorrelation, extracting explanatory variables and projecting distribution patterns. Throughout, functions utilise Google Earth Engine and Google Drive to minimise the computing power and storage demands associated with species distribution modelling at high spatio-temporal resolution.
Maintained by Rachel Dobson. Last updated 27 days ago.
dynamicsdmgoogle-earth-enginegoogledrivesdmspatiotemporalspatiotemporal-data-analysisspatiotemporal-forecastingspecies-distribution-modellingspecies-distributions
7.0 match 6 stars 6.16 score 20 scripts
kingaa
pomp:Statistical Inference for Partially Observed Markov Processes
Tools for data analysis with partially observed Markov process (POMP) models (also known as stochastic dynamical systems, hidden Markov models, and nonlinear, non-Gaussian, state-space models). The package provides facilities for implementing POMP models, simulating them, and fitting them to time series data by a variety of frequentist and Bayesian methods. It is also a versatile platform for implementation of inference methods for general POMP models.
Maintained by Aaron A. King. Last updated 1 months ago.
abcb-splinedifferential-equationsdynamical-systemsiterated-filteringlikelihoodlikelihood-freemarkov-chain-monte-carlomarkov-modelmathematical-modellingmeasurement-errorparticle-filtersequential-monte-carlosimulation-based-inferencesobol-sequencestate-spacestatistical-inferencestochastic-processestime-seriesopenblas
3.5 match 115 stars 11.81 score 1.3k scripts 4 dependents
openintrostat
openintro:Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs
Supplemental functions and data for 'OpenIntro' resources, which includes open-source textbooks and resources for introductory statistics (<https://www.openintro.org/>). The package contains datasets used in our open-source textbooks along with custom plotting functions for reproducing book figures. Note that many functions and examples include color transparency; some plotting elements may not show up properly (or at all) when run in some versions of Windows operating system.
Maintained by Mine Çetinkaya-Rundel. Last updated 3 months ago.
3.6 match 240 stars 11.39 score 6.0k scripts
lleisong
itsdm:Isolation Forest-Based Presence-Only Species Distribution Modeling
Collection of R functions to do purely presence-only species distribution modeling with isolation forest (iForest) and its variations such as Extended isolation forest and SCiForest. See the details of these methods in references: Liu, F.T., Ting, K.M. and Zhou, Z.H. (2008) <doi:10.1109/ICDM.2008.17>, Hariri, S., Kind, M.C. and Brunner, R.J. (2019) <doi:10.1109/TKDE.2019.2947676>, Liu, F.T., Ting, K.M. and Zhou, Z.H. (2010) <doi:10.1007/978-3-642-15883-4_18>, Guha, S., Mishra, N., Roy, G. and Schrijvers, O. (2016) <https://proceedings.mlr.press/v48/guha16.html>, Cortes, D. (2021) <arXiv:2110.13402>. Additionally, Shapley values are used to explain model inputs and outputs. See details in references: Shapley, L.S. (1953) <doi:10.1515/9781400881970-018>, Lundberg, S.M. and Lee, S.I. (2017) <https://dl.acm.org/doi/abs/10.5555/3295222.3295230>, Molnar, C. (2020) <ISBN:978-0-244-76852-2>, Štrumbelj, E. and Kononenko, I. (2014) <doi:10.1007/s10115-013-0679-x>. itsdm also provides functions to diagnose variable response, analyze variable importance, draw spatial dependence of variables and examine variable contribution. As utilities, the package includes a few functions to download bioclimatic variables including 'WorldClim' version 2.0 (see Fick, S.E. and Hijmans, R.J. (2017) <doi:10.1002/joc.5086>) and 'CMCC-BioClimInd' (see Noce, S., Caporaso, L. and Santini, M. (2020) <doi:10.1038/s41597-020-00726-5>.
Maintained by Lei Song. Last updated 2 years ago.
isolation-forestoutlier-detectionpresence-onlymodelshapley-valuespecies-distribution-modelling
6.9 match 4 stars 5.59 score 65 scripts
benmbutler
powdR:Full Pattern Summation of X-Ray Powder Diffraction Data
Full pattern summation of X-ray powder diffraction data as described in Chipera and Bish (2002) <doi:10.1107/S0021889802017405> and Butler and Hillier (2021) <doi:10.1016/j.cageo.2020.104662>. Derives quantitative estimates of crystalline and amorphous phase concentrations in complex mixtures.
Maintained by Benjamin Butler. Last updated 3 years ago.
6.7 match 12 stars 5.56 score 30 scripts
cran
MASS:Support Functions and Datasets for Venables and Ripley's MASS
Functions and datasets to support Venables and Ripley, "Modern Applied Statistics with S" (4th edition, 2002).
Maintained by Brian Ripley. Last updated 16 days ago.
3.5 match 19 stars 10.53 score 11k dependents
julianfaraway
faraway:Datasets and Functions for Books by Julian Faraway
Books are "Linear Models with R" published 1st Ed. August 2004, 2nd Ed. July 2014, 3rd Ed. February 2025 by CRC press, ISBN 9781439887332, and "Extending the Linear Model with R" published by CRC press in 1st Ed. December 2005 and 2nd Ed. March 2016, ISBN 9781584884248 and "Practical Regression and ANOVA in R" contributed documentation on CRAN (now very dated).
Maintained by Julian Faraway. Last updated 1 months ago.
3.5 match 29 stars 9.43 score 1.7k scripts 1 dependentscran
BoundaryStats:Boundary Overlap Statistics
Analysis workflow for finding geographic boundaries of ecological or landscape traits and comparing the placement of geographic boundaries of two traits. If data are trait values, trait data are transformed to boundary intensities based on approximate first derivatives across latitude and longitude. The package includes functions to create custom null models based on the input data. The boundary statistics are described in: Fortin, Drapeau, and Jacquez (1996) <doi:10.2307/3545584>.
Maintained by Amy Luo. Last updated 5 months ago.
10.9 match 2.70 score 3 scripts
darunabas
phyloregion:Biogeographic Regionalization and Macroecology
Computational infrastructure for biogeography, community ecology, and biodiversity conservation (Daru et al. 2020) <doi:10.1111/2041-210X.13478>. It is based on the methods described in Daru et al. (2020) <doi:10.1038/s41467-020-15921-6>. The original conceptual work is described in Daru et al. (2017) <doi:10.1016/j.tree.2017.08.013> on patterns and processes of biogeographical regionalization. Additionally, the package contains fast and efficient functions to compute more standard conservation measures such as phylogenetic diversity, phylogenetic endemism, evolutionary distinctiveness and global endangerment, as well as compositional turnover (e.g., beta diversity).
Maintained by Barnabas H. Daru. Last updated 5 months ago.
4.0 match 18 stars 7.21 score 50 scripts 1 dependents
r-barnes
dggridR:Discrete Global Grids
Spatial analyses involving binning require that every bin have the same area, but this is impossible using a rectangular grid laid over the Earth or over any projection of the Earth. Discrete global grids use hexagons, triangles, and diamonds to overcome this issue, overlaying the Earth with equally-sized bins. This package provides utilities for working with discrete global grids, along with utilities to aid in plotting such data.
Maintained by Sebastian Krantz. Last updated 6 months ago.
discrete-global-gridsgeospatialspatial-analysiscpp
3.1 match 168 stars 9.37 score 388 scripts 1 dependents
alicepaul
HDSinRdata:Data for the 'Mastering Health Data Science Using R' Online Textbook
Contains ten datasets used in the chapters and exercises of Paul, Alice (2023) "Health Data Science in R" <https://alicepaul.github.io/health-data-science-using-r/>.
Maintained by Alice Paul. Last updated 3 months ago.
6.9 match 1 stars 4.09 score 41 scripts
epiverse-trace
epichains:Simulating and Analysing Transmission Chain Statistics Using Branching Process Models
Provides methods to simulate and analyse the size and length of branching processes with an arbitrary offspring distribution. These can be used, for example, to analyse the distribution of chain sizes or length of infectious disease outbreaks, as discussed in Farrington et al. (2003) <doi:10.1093/biostatistics/4.2.279>.
Maintained by James M. Azam. Last updated 4 days ago.
branching-processesepidemic-dynamicsepidemic-modellingepidemic-simulationsepidemiologyepidemiology-modelsoutbreak-simulatortransmission-chaintransmission-chain-reconstruction
3.5 match 7 stars 7.48 score 8 scriptsafrimapr
afrilearndata:Small Africa Map Datasets for Learning
Small African datasets to help with learning and teaching of spatial techniques and mapping. Part of afrimapr project. To provide analysts based in Africa with more easily relateable example datasets. R objects for points, lines, polygons and raster. Source files including .gpkg, .shp, .kml, .tif, .grd, .csv.
Maintained by Andy South. Last updated 3 years ago.
mapspatialteachingvisualization
7.0 match 15 stars 3.68 score 64 scripts
ropensci
taxlist:Handling Taxonomic Lists
Handling taxonomic lists through objects of class 'taxlist'. This package provides functions to import species lists from 'Turboveg' (<https://www.synbiosys.alterra.nl/turboveg/>) and the possibility to create backups from resulting R-objects. Also quick displays are implemented as summary-methods.
Maintained by Miguel Alvarez. Last updated 6 months ago.
3.6 match 12 stars 7.07 score 81 scripts 2 dependents
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-ncovcoronaviruscovid-19covid-datacovid19-data
2.3 match 252 stars 11.08 score 265 scriptsafrimapr
afriadmin:African Administrative Boundary Polygons
Will make administrative boundary polygons for Africa easily accessible from R.
Maintained by Andy South. Last updated 3 years ago.
5.9 match 16 stars 4.00 score 21 scripts 2 dependents
svmiller
stevedata:Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics
This is a collection of various kinds of data with broad uses for teaching. My students, and academics like me who teach the same topics I teach, should find this useful if their teaching workflow is also built around the R programming language. The applications are multiple but mostly cluster on topics of statistical methodology, international relations, and political economy.
Maintained by Steve Miller. Last updated 4 days ago.
3.5 match 8 stars 5.97 score 178 scripts
ghislainv
hSDM:Hierarchical Bayesian Species Distribution Models
User-friendly and fast set of functions for estimating parameters of hierarchical Bayesian species distribution models (Latimer and others 2006 <doi:10.1890/04-0609>). Such models allow interpreting the observations (occurrence and abundance of a species) as a result of several hierarchical processes including ecological processes (habitat suitability, spatial dependence and anthropogenic disturbance) and observation processes (species detectability). Hierarchical species distribution models are essential for accurately characterizing the environmental response of species, predicting their probability of occurrence, and assessing uncertainty in the model results.
Maintained by Ghislain Vieilledent. Last updated 2 years ago.
3.4 match 9 stars 6.04 score 41 scripts
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.
4.0 match 143 stars 5.01 score 143 scripts
mathiasambuehl
cna:Causal Modeling with Coincidence Analysis
Provides comprehensive functionalities for causal modeling with Coincidence Analysis (CNA), which is a configurational comparative method of causal data analysis that was first introduced in Baumgartner (2009) <doi:10.1177/0049124109339369>, and generalized in Baumgartner & Ambuehl (2018) <doi:10.1017/psrm.2018.45>. CNA is designed to recover INUS-causation from data, which is particularly relevant for analyzing processes featuring conjunctural causation (component causation) and equifinality (alternative causation). CNA is currently the only method for INUS-discovery that allows for multiple effects (outcomes/endogenous factors), meaning it can analyze common-cause and causal chain structures.
Maintained by Mathias Ambuehl. Last updated 8 months ago.
3.5 match 1 stars 4.78 score 45 scripts 3 dependentsropensci
rnoaa:'NOAA' Weather Data from R
Client for many 'NOAA' data sources including the 'NCDC' climate 'API' at <https://www.ncdc.noaa.gov/cdo-web/webservices/v2>, with functions for each of the 'API' 'endpoints': data, data categories, data sets, data types, locations, location categories, and stations. In addition, we have an interface for 'NOAA' sea ice data, the 'NOAA' severe weather inventory, 'NOAA' Historical Observing 'Metadata' Repository ('HOMR') data, 'NOAA' storm data via 'IBTrACS', tornado data via the 'NOAA' storm prediction center, and more.
Maintained by Daniel Hocking. Last updated 1 months ago.
earthscienceclimateprecipitationtemperaturestormbuoyncdcnoaatornadoesea iceisdnoaa-data
1.8 match 334 stars 9.39 score 788 scripts 4 dependents
b-cubed-eu
impIndicator:Impact Indicators of Alien Taxa
Compute impact indicators of alien taxa using GBIF occurrence cube and EICAT assessment of alien species. Aggregates species impact of various scores due to mecahnism. Aggregates site impact of various scores due to species.
Maintained by Mukhtar Muhammed Yahaya. Last updated 12 hours ago.
biodiversity-indicatorsimpactinvasive-species
3.2 match 4.38 score 4 scripts
ldbk
m2b:Movement to Behaviour Inference using Random Forest
Prediction of behaviour from movement characteristics using observation and random forest for the analyses of movement data in ecology. From movement information (speed, bearing...) the model predicts the observed behaviour (movement, foraging...) using random forest. The model can then extrapolate behavioural information to movement data without direct observation of behaviours. The specificity of this method relies on the derivation of multiple predictor variables from the movement data over a range of temporal windows. This procedure allows to capture as much information as possible on the changes and variations of movement and ensures the use of the random forest algorithm to its best capacity. The method is very generic, applicable to any set of data providing movement data together with observation of behaviour.
Maintained by Laurent Dubroca. Last updated 8 years ago.
3.2 match 2 stars 4.08 score 12 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.
5.3 match 2.28 score 38 scriptscran
SeaVal:Validation of Seasonal Weather Forecasts
Provides tools for processing and evaluating seasonal weather forecasts, with an emphasis on tercile forecasts. We follow the World Meteorological Organization's "Guidance on Verification of Operational Seasonal Climate Forecasts", S.J.Mason (2018, ISBN: 978-92-63-11220-0, URL: <https://library.wmo.int/idurl/4/56227>). The development was supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 869730 (CONFER). A comprehensive online tutorial is available at <https://seasonalforecastingengine.github.io/SeaValDoc/>.
Maintained by Claudio Heinrich-Mertsching. Last updated 9 months ago.
7.0 match 1.70 score
hafen
geofacet:'ggplot2' Faceting Utilities for Geographical Data
Provides geographical faceting functionality for 'ggplot2'. Geographical faceting arranges a sequence of plots of data for different geographical entities into a grid that preserves some of the geographical orientation.
Maintained by Ryan Hafen. Last updated 7 months ago.
1.2 match 340 stars 9.78 score 1.5k scripts 4 dependents
njtierney
yahtsee:Yet Another Hierachical Time Series Extension and Expansion
An opinionated approach to building hierarchical time series models in R using INLA and inlabru.
Maintained by Nicholas Tierney. Last updated 3 years ago.
3.6 match 2 stars 3.00 score 8 scripts
d-score
childdevdata:Child Development Data
Measuring child development starts by collecting responses to developmental milestones, such as "able to sit" or "says two words". There are many ways to combine such responses into summaries. The package bundles publicly available datasets with individual milestone data for children aged 0-5 years, with the aim of supporting the construction, evaluation, validation and interpretation of methodologies that aggregate milestone data into informative measures of child development.
Maintained by Stef van Buuren. Last updated 2 years ago.
child-developmentd-scoredataset
3.4 match 3 stars 3.18 score 8 scripts
jgill22
BaM:Functions and Datasets for "Bayesian Methods: A Social and Behavioral Sciences Approach"
Functions and datasets for Jeff Gill: "Bayesian Methods: A Social and Behavioral Sciences Approach". First, Second, and Third Edition. Published by Chapman and Hall/CRC (2002, 2007, 2014) <doi:10.1201/b17888>.
Maintained by Jeff Gill. Last updated 2 years ago.
6.6 match 1 stars 1.43 score 27 scripts
joelkilty
MMAC:Data for Mathematical Modeling and Applied Calculus
Contains the data sets for the textbook "Mathematical Modeling and Applied Calculus" by Joel Kilty and Alex M. McAllister. The book will be published by Oxford University Press in 2018 with ISBN-13: 978-019882472.
Maintained by Joel Kilty. Last updated 7 years ago.
3.6 match 2.50 score 63 scripts
mrc-ide
threemc:(Matt's) Multi-Level Model of Male Circumcision in Sub-Saharan Africa
Functions and datasets to support, and extend to other Sub-Saharan African countries, Thomas, M. et. al., 2021, A multi-level model for estimating region-age-time-type specific male circumcision coverage from household survey and health system data in South Africa, <arXiv:2108.091422>.
Maintained by Patrick OToole. Last updated 1 years ago.
3.3 match 2.38 score 16 scripts
smtorres
GLMpack:Data and Code to Accompany Generalized Linear Models, 2nd Edition
Contains all the data and functions used in Generalized Linear Models, 2nd edition, by Jeff Gill and Michelle Torres. Examples to create all models, tables, and plots are included for each data set.
Maintained by Michelle Torres. Last updated 6 years ago.
3.8 match 1 stars 2.00 score
marie-perrotdockes
MultiVarSel:Variable Selection in a Multivariate Linear Model
It performs variable selection in a multivariate linear model by estimating the covariance matrix of the residuals then use it to remove the dependence that may exist among the responses and eventually performs variable selection by using the Lasso criterion. The method is described in the paper Perrot-Dockès et al. (2017) <arXiv:1704.00076>.
Maintained by Marie Perrot-Dockès. Last updated 6 years ago.
3.4 match 2.00 score 8 scriptsafrimapr
africovid:Visualisation of Sub-National Covid Data for Africa
Visualisation of Sub-National Covid Data for Africa.
Maintained by Andy South. Last updated 4 years ago.
3.5 match 1.70 score
sebkrantz
samadb:South Africa Macroeconomic Database API
An R API providing access to a relational database with macroeconomic time series data for South Africa, obtained from the South African Reserve Bank (SARB) and Statistics South Africa (STATSSA), and updated on a weekly basis via the EconData <https://www.econdata.co.za/> platform and automated scraping of the SARB and STATSSA websites. The database is maintained at the Department of Economics at Stellenbosch University.
Maintained by Sebastian Krantz. Last updated 10 months ago.
5.6 match 1.00 score 2 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.
3.6 match 1.36 score 15 scripts
e-sensing
sits:Satellite Image Time Series Analysis for Earth Observation Data Cubes
An end-to-end toolkit for land use and land cover classification using big Earth observation data, based on machine learning methods applied to satellite image data cubes, as described in Simoes et al (2021) <doi:10.3390/rs13132428>. Builds regular data cubes from collections in AWS, Microsoft Planetary Computer, Brazil Data Cube, Copernicus Data Space Environment (CDSE), Digital Earth Africa, Digital Earth Australia, NASA HLS using the Spatio-temporal Asset Catalog (STAC) protocol (<https://stacspec.org/>) and the 'gdalcubes' R package developed by Appel and Pebesma (2019) <doi:10.3390/data4030092>. Supports visualization methods for images and time series and smoothing filters for dealing with noisy time series. Includes functions for quality assessment of training samples using self-organized maps as presented by Santos et al (2021) <doi:10.1016/j.isprsjprs.2021.04.014>. Includes methods to reduce training samples imbalance proposed by Chawla et al (2002) <doi:10.1613/jair.953>. Provides machine learning methods including support vector machines, random forests, extreme gradient boosting, multi-layer perceptrons, temporal convolutional neural networks proposed by Pelletier et al (2019) <doi:10.3390/rs11050523>, and temporal attention encoders by Garnot and Landrieu (2020) <doi:10.48550/arXiv.2007.00586>. Supports GPU processing of deep learning models using torch <https://torch.mlverse.org/>. Performs efficient classification of big Earth observation data cubes and includes functions for post-classification smoothing based on Bayesian inference as described by Camara et al (2024) <doi:10.3390/rs16234572>, and methods for active learning and uncertainty assessment. Supports region-based time series analysis using package supercells <https://jakubnowosad.com/supercells/>. Enables best practices for estimating area and assessing accuracy of land change as recommended by Olofsson et al (2014) <doi:10.1016/j.rse.2014.02.015>. Minimum recommended requirements: 16 GB RAM and 4 CPU dual-core.
Maintained by Gilberto Camara. Last updated 1 months ago.
big-earth-datacbersearth-observationeo-datacubesgeospatialimage-time-seriesland-cover-classificationlandsatplanetary-computerr-spatialremote-sensingrspatialsatellite-image-time-seriessatellite-imagerysentinel-2stac-apistac-catalogcpp
0.5 match 494 stars 9.50 score 384 scripts
doehm
survivoR:Data from all Seasons of Survivor (US) TV Series in Tidy Format
Datasets detailing the results, castaways, and events of each season of Survivor for the US, Australia, South Africa, New Zealand, and the UK. This includes details on the cast, voting history, immunity and reward challenges, jury votes, boot order, advantage details, and episode ratings. Use this for analysis of trends and statistics of the game.
Maintained by Daniel Oehm. Last updated 2 days ago.
0.5 match 73 stars 7.08 score 94 scriptscran
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.
3.6 match 1 stars 1.00 score
zedtaha
dtp:Dynamic Panel Threshold Model
Compute the dynamic threshold panel model suggested by (Stephanie Kremer, Alexander Bick and Dieter Nautz (2013) <doi:10.1007/s00181-012-0553-9>) in which they extended the (Hansen (1999) <doi: 10.1016/S0304-4076(99)00025-1>) original static panel threshold estimation and the Caner and (Hansen (2004) <doi:10.1017/S0266466604205011>) cross-sectional instrumental variable threshold model, where generalized methods of moments type estimators are used.
Maintained by Taha Zaghdoudi. Last updated 7 years ago.
3.2 match 1 stars 1.00 score 1 scripts
ryan-riggs
RivRetrieve:Retrieve Global River Gauge Data
Provides access to global river gauge data from a variety of national-level river agencies. The package interfaces with the national-level agency websites to provide access to river gauge locations, river discharge, and river stage. Currently, the package is available for the following countries: Australia, Brazil, Canada, Chile, France, Japan, South Africa, the United Kingdom, and the United States.
Maintained by Ryan Riggs. Last updated 2 months ago.
0.5 match 9 stars 4.95 score 7 scripts
bioc
GrafGen:Classification of Helicobacter Pylori Genomes
To classify Helicobacter pylori genomes according to genetic distance from nine reference populations. The nine reference populations are hpgpAfrica, hpgpAfrica-distant, hpgpAfroamerica, hpgpEuroamerica, hpgpMediterranea, hpgpEurope, hpgpEurasia, hpgpAsia, and hpgpAklavik86-like. The vertex populations are Africa, Europe and Asia.
Maintained by William Wheeler. Last updated 2 months ago.
geneticssoftwaregenomeannotationclassificationcpp
0.5 match 4.65 score 2 scriptsmrc-ide
first90:The first90 model
Implements the Shiny90 model for estimating progress towards the UNAIDS "first 90" target for HIV awareness of status in sub-Saharan Africa.
Maintained by Jeffrey Eaton. Last updated 4 months ago.
0.5 match 5 stars 4.53 score 2 scripts 3 dependents
helmut01
replicateBE:Average Bioequivalence with Expanding Limits (ABEL)
Performs comparative bioavailability calculations for Average Bioequivalence with Expanding Limits (ABEL). Implemented are 'Method A' / 'Method B' and the detection of outliers. If the design allows, assessment of the empiric Type I Error and iteratively adjusting alpha to control the consumer risk. Average Bioequivalence - optionally with a tighter (narrow therapeutic index drugs) or wider acceptance range (South Africa: Cmax) - is implemented as well.
Maintained by Helmut Schütz. Last updated 3 years ago.
0.5 match 9 stars 4.65 score 10 scriptsropensci
camsRad:Client for CAMS Radiation Service
Copernicus Atmosphere Monitoring Service (CAMS) Radiation Service provides time series of global, direct, and diffuse irradiations on horizontal surface, and direct irradiation on normal plane for the actual weather conditions as well as for clear-sky conditions. The geographical coverage is the field-of-view of the Meteosat satellite, roughly speaking Europe, Africa, Atlantic Ocean, Middle East. The time coverage of data is from 2004-02-01 up to 2 days ago. Data are available with a time step ranging from 15 min to 1 month. For license terms and to create an account, please see <http://www.soda-pro.com/web-services/radiation/cams-radiation-service>.
Maintained by Lukas Lundstrom. Last updated 5 years ago.
0.5 match 9 stars 4.65 score 10 scriptscran
nlgm:Non Linear Growth Models
Six growth models are fitted using non-linear least squares. These are the Richards, the 3, 4 and 5 parameter logistic, the Gompetz and the Weibull growth models. Reference: Reddy T., Shkedy Z., van Rensburg C. J., Mwambi H., Debba P., Zuma K. and Manda, S. (2021). "Short-term real-time prediction of total number of reported COVID-19 cases and deaths in South Africa: a data driven approach". BMC medical research methodology, 21(1), 1-11. <doi:10.1186/s12874-020-01165-x>.
Maintained by Michail Tsagris. Last updated 2 years ago.
0.5 match 1.00 score