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r-lib

desc:Manipulate DESCRIPTION Files

Tools to read, write, create, and manipulate DESCRIPTION files. It is intended for packages that create or manipulate other packages.

Maintained by Gรกbor Csรกrdi. Last updated 1 months ago.

7.2 match 123 stars 14.68 score 409 scripts 1.1k dependents

ropensci

stplanr:Sustainable Transport Planning

Tools for transport planning with an emphasis on spatial transport data and non-motorized modes. The package was originally developed to support the 'Propensity to Cycle Tool', a publicly available strategic cycle network planning tool (Lovelace et al. 2017) <doi:10.5198/jtlu.2016.862>, but has since been extended to support public transport routing and accessibility analysis (Moreno-Monroy et al. 2017) <doi:10.1016/j.jtrangeo.2017.08.012> and routing with locally hosted routing engines such as 'OSRM' (Lowans et al. 2023) <doi:10.1016/j.enconman.2023.117337>. The main functions are for creating and manipulating geographic "desire lines" from origin-destination (OD) data (building on the 'od' package); calculating routes on the transport network locally and via interfaces to routing services such as <https://cyclestreets.net/> (Desjardins et al. 2021) <doi:10.1007/s11116-021-10197-1>; and calculating route segment attributes such as bearing. The package implements the 'travel flow aggregration' method described in Morgan and Lovelace (2020) <doi:10.1177/2399808320942779> and the 'OD jittering' method described in Lovelace et al. (2022) <doi:10.32866/001c.33873>. Further information on the package's aim and scope can be found in the vignettes and in a paper in the R Journal (Lovelace and Ellison 2018) <doi:10.32614/RJ-2018-053>, and in a paper outlining the landscape of open source software for geographic methods in transport planning (Lovelace, 2021) <doi:10.1007/s10109-020-00342-2>.

Maintained by Robin Lovelace. Last updated 7 months ago.

cyclecyclingdesire-linesorigin-destinationpeer-reviewedpubic-transportroute-networkroutesroutingspatialtransporttransport-planningtransportationwalking

7.1 match 427 stars 12.31 score 684 scripts 3 dependents

elipousson

getdata:Get Easy Access to Tabular and Spatial Data

Download and format spatial and non-spatial data with simple filtering by location.

Maintained by Eli Pousson. Last updated 5 months ago.

rspatial

19.3 match 12 stars 4.46 score 18 scripts 3 dependents

r-forge

distrMod:Object Oriented Implementation of Probability Models

Implements S4 classes for probability models based on packages 'distr' and 'distrEx'.

Maintained by Peter Ruckdeschel. Last updated 2 months ago.

12.2 match 6.71 score 139 scripts 6 dependents

usaid-oha-si

gisr:Geospatial Analytics Utility functions

R Spatial functions for HIV/AIDS related Geospatial Analytics.

Maintained by Baboyma Kagniniwa. Last updated 1 years ago.

gismap

14.5 match 2 stars 5.29 score 328 scripts

bioc

annotate:Annotation for microarrays

Using R enviroments for annotation.

Maintained by Bioconductor Package Maintainer. Last updated 5 months ago.

annotationpathwaysgo

6.7 match 11.41 score 812 scripts 243 dependents

tidyverse

dplyr:A Grammar of Data Manipulation

A fast, consistent tool for working with data frame like objects, both in memory and out of memory.

Maintained by Hadley Wickham. Last updated 13 days ago.

data-manipulationgrammarcpp

3.0 match 4.8k stars 24.68 score 659k scripts 7.8k dependents

r-forge

distr:Object Oriented Implementation of Distributions

S4-classes and methods for distributions.

Maintained by Peter Ruckdeschel. Last updated 2 months ago.

7.8 match 8.84 score 327 scripts 32 dependents

bioc

gwascat:representing and modeling data in the EMBL-EBI GWAS catalog

Represent and model data in the EMBL-EBI GWAS catalog.

Maintained by VJ Carey. Last updated 5 months ago.

genetics

9.8 match 6.05 score 110 scripts 2 dependents

dnychka

fields:Tools for Spatial Data

For curve, surface and function fitting with an emphasis on splines, spatial data, geostatistics, and spatial statistics. The major methods include cubic, and thin plate splines, Kriging, and compactly supported covariance functions for large data sets. The splines and Kriging methods are supported by functions that can determine the smoothing parameter (nugget and sill variance) and other covariance function parameters by cross validation and also by restricted maximum likelihood. For Kriging there is an easy to use function that also estimates the correlation scale (range parameter). A major feature is that any covariance function implemented in R and following a simple format can be used for spatial prediction. There are also many useful functions for plotting and working with spatial data as images. This package also contains an implementation of sparse matrix methods for large spatial data sets and currently requires the sparse matrix (spam) package. Use help(fields) to get started and for an overview. The fields source code is deliberately commented and provides useful explanations of numerical details as a companion to the manual pages. The commented source code can be viewed by expanding the source code version and looking in the R subdirectory. The reference for fields can be generated by the citation function in R and has DOI <doi:10.5065/D6W957CT>. Development of this package was supported in part by the National Science Foundation Grant 1417857, the National Center for Atmospheric Research, and Colorado School of Mines. See the Fields URL for a vignette on using this package and some background on spatial statistics.

Maintained by Douglas Nychka. Last updated 9 months ago.

fortran

4.7 match 15 stars 12.60 score 7.7k scripts 295 dependents

tidymodels

butcher:Model Butcher

Provides a set of S3 generics to axe components of fitted model objects and help reduce the size of model objects saved to disk.

Maintained by Julia Silge. Last updated 13 days ago.

5.0 match 132 stars 11.54 score 146 scripts 13 dependents

elipousson

maplayer:Make Map Layers With ggplot2

Make map-making with ggplot2 and sf more convenient with layers that subset by location.

Maintained by Eli Pousson. Last updated 6 months ago.

ggplot2rspatial

16.3 match 9 stars 3.26 score 7 scripts

skranz

stringtools:Tools for working with strings in R

Tools for working with strings in R

Maintained by Sebastian Kranz. Last updated 3 years ago.

13.7 match 2 stars 3.66 score 29 scripts 26 dependents

rsheets

cellranger:Translate Spreadsheet Cell Ranges to Rows and Columns

Helper functions to work with spreadsheets and the "A1:D10" style of cell range specification.

Maintained by Jennifer Bryan. Last updated 7 years ago.

3.6 match 51 stars 13.84 score 80 scripts 843 dependents

elipousson

bcpss:Baltimore City Public Schools

Provides access to demographic, enrollment, and survey data on Baltimore City Public School System (BCPSS).

Maintained by Eli Pousson. Last updated 1 years ago.

baltimore

13.3 match 3 stars 3.48 score 5 scripts

tidyverse

purrr:Functional Programming Tools

A complete and consistent functional programming toolkit for R.

Maintained by Hadley Wickham. Last updated 1 months ago.

functional-programming

2.0 match 1.3k stars 22.12 score 59k scripts 6.9k dependents

r-forge

distrEx:Extensions of Package 'distr'

Extends package 'distr' by functionals, distances, and conditional distributions.

Maintained by Matthias Kohl. Last updated 2 months ago.

6.0 match 6.68 score 107 scripts 17 dependents

ggobi

tourr:Tour Methods for Multivariate Data Visualisation

Implements geodesic interpolation and basis generation functions that allow you to create new tour methods from R.

Maintained by Dianne Cook. Last updated 17 days ago.

3.5 match 65 stars 11.17 score 426 scripts 9 dependents

fishr-core-team

FSA:Simple Fisheries Stock Assessment Methods

A variety of simple fish stock assessment methods.

Maintained by Derek H. Ogle. Last updated 2 months ago.

fishfisheriesfisheries-managementfisheries-stock-assessmentpopulation-dynamicsstock-assessment

3.4 match 68 stars 11.08 score 1.7k scripts 6 dependents

jomulder

BFpack:Flexible Bayes Factor Testing of Scientific Expectations

Implementation of default Bayes factors for testing statistical hypotheses under various statistical models. The package is intended for applied quantitative researchers in the social and behavioral sciences, medical research, and related fields. The Bayes factor tests can be executed for statistical models such as univariate and multivariate normal linear models, correlation analysis, generalized linear models, special cases of linear mixed models, survival models, relational event models. Parameters that can be tested are location parameters (e.g., group means, regression coefficients), variances (e.g., group variances), and measures of association (e.g,. polychoric/polyserial/biserial/tetrachoric/product moments correlations), among others. The statistical underpinnings are described in O'Hagan (1995) <DOI:10.1111/j.2517-6161.1995.tb02017.x>, De Santis and Spezzaferri (2001) <DOI:10.1016/S0378-3758(00)00240-8>, Mulder and Xin (2022) <DOI:10.1080/00273171.2021.1904809>, Mulder and Gelissen (2019) <DOI:10.1080/02664763.2021.1992360>, Mulder (2016) <DOI:10.1016/j.jmp.2014.09.004>, Mulder and Fox (2019) <DOI:10.1214/18-BA1115>, Mulder and Fox (2013) <DOI:10.1007/s11222-011-9295-3>, Boeing-Messing, van Assen, Hofman, Hoijtink, and Mulder (2017) <DOI:10.1037/met0000116>, Hoijtink, Mulder, van Lissa, and Gu (2018) <DOI:10.1037/met0000201>, Gu, Mulder, and Hoijtink (2018) <DOI:10.1111/bmsp.12110>, Hoijtink, Gu, and Mulder (2018) <DOI:10.1111/bmsp.12145>, and Hoijtink, Gu, Mulder, and Rosseel (2018) <DOI:10.1037/met0000187>. When using the packages, please refer to the package Mulder et al. (2021) <DOI:10.18637/jss.v100.i18> and the relevant methodological papers.

Maintained by Joris Mulder. Last updated 1 months ago.

fortranopenblas

4.5 match 15 stars 8.24 score 55 scripts 3 dependents