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Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.

API method:

GET /api/packages?search=hello&page=1&limit=20

where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned in response headers.

If you'd like to join our channel webring send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


r-rsmatrix 0.2.9
Propagated dependencies: r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://marberts.github.io/rsmatrix/
Licenses: Expat
Build system: r
Synopsis: Matrices for Repeat-Sales Price Indexes
Description:

Calculate the matrices in Shiller (1991, <doi:10.1016/S1051-1377(05)80028-2>) that serve as the foundation for many repeat-sales price indexes.

r-recombinator 1.0.1
Propagated dependencies: r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=recombinator
Licenses: Expat
Build system: r
Synopsis: Recombinate Nested Lists to Dataframes
Description:

Turns nested lists into data.frames in an orderly manner.

r-rcprd 0.0.2
Propagated dependencies: r-stringr@1.6.0 r-rsqlite@2.4.4 r-lubridate@1.9.4 r-fastmatch@1.1-6 r-dplyr@1.1.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://alexpate30.github.io/rcprd/
Licenses: Expat
Build system: r
Synopsis: Extraction and Management of Clinical Practice Research Datalink Data
Description:

Simplify the process of extracting and processing Clinical Practice Research Datalink (CPRD) data in order to build datasets ready for statistical analysis. This process is difficult in R', as the raw data is very large and cannot be read into the R workspace. rcprd utilises RSQLite to create SQLite databases which are stored on the hard disk. These are then queried to extract the required information for a cohort of interest, and create datasets ready for statistical analysis. The processes follow closely that from the rEHR package, see Springate et al., (2017) <doi:10.1371/journal.pone.0171784>.

r-roloc 0.1-2
Propagated dependencies: r-colorspace@2.1-2
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=roloc
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Convert Colour Specification to Colour Name
Description:

This package provides functions to convert an R colour specification to a colour name. The user can select and create different lists of colour names and different colour metrics for the conversion.

r-restk 1.0.2
Propagated dependencies: r-purrr@1.2.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RESTK
Licenses: GPL 3
Build system: r
Synopsis: An Implementation of the RESTK Algorithm
Description:

Implementation of the RESTK algorithm based on Markov's Inequality from Vilardell, Sergi, Serra, Isabel, Mezzetti, Enrico, Abella, Jaume, Cazorla, Francisco J. and Del Castillo, J. (2022). "Using Markov's Inequality with Power-Of-k Function for Probabilistic WCET Estimation". In 34th Euromicro Conference on Real-Time Systems (ECRTS 2022). Leibniz International Proceedings in Informatics (LIPIcs) 231 20:1-20:24. <doi:10.4230/LIPIcs.ECRTS.2022.20>. This work has been supported by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No. 772773).

r-r2mlm 0.3.8
Propagated dependencies: r-tidyselect@1.2.1 r-stringr@1.6.0 r-rockchalk@1.8.157 r-rlang@1.1.6 r-nlme@3.1-168 r-magrittr@2.0.4 r-lme4@1.1-37 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/mkshaw/r2mlm
Licenses: GPL 3
Build system: r
Synopsis: R-Squared Measures for Multilevel Models
Description:

Generates both total- and level-specific R-squared measures from Rights and Sterbaâ s (2019) <doi:10.1037/met0000184> framework of R-squared measures for multilevel models with random intercepts and/or slopes, which is based on a complete decomposition of variance. Additionally generates graphical representations of these R-squared measures to allow visualizing and interpreting all measures in the framework together as an integrated set. This framework subsumes 10 previously-developed R-squared measures for multilevel models as special cases of 5 measures from the framework, and it also includes several newly-developed measures. Measures in the framework can be used to compute R-squared differences when comparing multilevel models (following procedures in Rights & Sterba (2020) <doi:10.1080/00273171.2019.1660605>). Bootstrapped confidence intervals can also be calculated. To use the confidence interval functionality, download bootmlm from <https://github.com/marklhc/bootmlm>.

r-robotstxt 0.7.15
Propagated dependencies: r-stringr@1.6.0 r-spiderbar@0.2.5 r-magrittr@2.0.4 r-httr@1.4.7 r-future-apply@1.20.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://docs.ropensci.org/robotstxt/
Licenses: Expat
Build system: r
Synopsis: 'robots.txt' Parser and 'Webbot'/'Spider'/'Crawler' Permissions Checker
Description:

This package provides functions to download and parse robots.txt files. Ultimately the package makes it easy to check if bots (spiders, crawler, scrapers, ...) are allowed to access specific resources on a domain.

r-rtmbdist 1.0.0
Propagated dependencies: r-statmod@1.5.1 r-sn@2.1.1 r-rtmb@1.8 r-movmf@0.2-9 r-gamlss-dist@6.1-1 r-circular@0.5-2
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://janoleko.github.io/RTMBdist/
Licenses: Expat
Build system: r
Synopsis: Distributions Compatible with Automatic Differentiation by 'RTMB'
Description:

Extends the functionality of the RTMB <https://kaskr.r-universe.dev/RTMB> package by providing a collection of non-standard probability distributions compatible with automatic differentiation (AD). While RTMB enables flexible and efficient modelling, including random effects, its built-in support is limited to standard distributions. The package adds additional AD-compatible distributions, broadening the range of models that can be implemented and estimated using RTMB'. Automatic differentiation and Laplace approximation are described in Kristensen et al. (2016) <doi:10.18637/jss.v070.i05>.

r-rdhte 0.1.0
Propagated dependencies: r-sandwich@3.1-1 r-rdrobust@3.0.0 r-multcomp@1.4-29
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rdhte
Licenses: GPL 3
Build system: r
Synopsis: Heterogeneous Treatment Effects in Regression Discontinuity Designs
Description:

Understanding heterogeneous causal effects based on pretreatment covariates is a crucial step in modern empirical work in data science. Building on the recent developments in Calonico et al (2025) <https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell-Palomba-Titiunik_2025_HTERD.pdf>, this package provides tools for estimation and inference of heterogeneous treatment effects in Regression Discontinuity (RD) Designs. The package includes two main commands: rdhte to conduct estimation and robust bias-corrected inference for conditional RD treatment effects (given choice of bandwidth parameter); rdbwhte', which implements automatic bandwidth selection methods; and rdhte_lincom to test linear combinations of parameters.

r-rmdpartials 0.5.8
Propagated dependencies: r-rlang@1.1.6 r-knitr@1.50 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/rubenarslan/rmdpartials
Licenses: Expat
Build system: r
Synopsis: Partial 'rmarkdown' Documents to Prettify your Reports
Description:

Use rmarkdown partials, also know as child documents in knitr', so you can make components for HTML, PDF, and Word documents. The package provides various helper functions to make certain functions easier. You may want to use this package, if you want to flexibly summarise objects using a combination of figures, tables, text, and HTML widgets. Unlike HTML widgets, the output is Markdown and can hence be turn into other output formats than HTML.

r-rcppmagicenum 0.0.1
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/eddelbuettel/rcppmagicenum
Licenses: Expat
Build system: r
Synopsis: 'Rcpp' Bindings to 'Magic Enum' 'C++' 'Enum' Support
Description:

The header-only modern C++ template library Magic Enum for static reflection of enums (to string, from string, iteration) is provided by this package. More information about the underlying library can be found at its repository at <https://github.com/Neargye/magic_enum>.

r-rcdklibs 2.9
Propagated dependencies: r-rjava@1.0-11
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cdk-r.github.io/rcdklibs/
Licenses: LGPL 2.0+
Build system: r
Synopsis: The CDK Libraries Packaged for R
Description:

An R interface to the Chemistry Development Kit, a Java library for chemoinformatics. Given the size of the library itself, this package is not expected to change very frequently. To make use of the CDK within R, it is suggested that you use the rcdk package. Note that it is possible to directly interact with the CDK using rJava'. However rcdk exposes functionality in a more idiomatic way. The CDK library itself is released as LGPL and the sources can be obtained from <https://github.com/cdk/cdk>.

r-ractivecampaign 0.6.0
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-retry@0.1.1 r-pbapply@1.7-4 r-httr@1.4.7 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=ractivecampaign
Licenses: Expat
Build system: r
Synopsis: Loading Data from 'ActiveCampaign API v3'
Description:

Interface for loading data from ActiveCampaign API v3 <https://developers.activecampaign.com/reference>. Provide functions for getting data by deals, contacts, accounts, campaigns and messages.

r-rtoot 0.3.6
Propagated dependencies: r-tibble@3.3.0 r-jsonlite@2.0.0 r-httr@1.4.7 r-dplyr@1.1.4 r-curl@7.0.0 r-clipr@0.8.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://gesistsa.github.io/rtoot/
Licenses: Expat
Build system: r
Synopsis: Collecting and Analyzing Mastodon Data
Description:

An implementation of calls designed to collect and organize Mastodon data via its Application Program Interfaces (API), which can be found at the following URL: <https://docs.joinmastodon.org/>.

r-rgrass 0.5-3
Dependencies: grass@8.4.1
Propagated dependencies: r-xml2@1.5.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://osgeo.github.io/rgrass/
Licenses: GPL 2+
Build system: r
Synopsis: Interface Between 'GRASS' Geographical Information System and 'R'
Description:

An interface between the GRASS geographical information system ('GIS') and R', based on starting R from within the GRASS GIS environment, or running a free-standing R session in a temporary GRASS location; the package provides facilities for using all GRASS commands from the R command line. The original interface package for GRASS 5 (2000-2010) is described in Bivand (2000) <doi:10.1016/S0098-3004(00)00057-1> and Bivand (2001) <https://www.r-project.org/conferences/DSC-2001/Proceedings/Bivand.pdf>. This was succeeded by spgrass6 for GRASS 6 (2006-2016) and rgrass7 for GRASS 7 (2015-present). The rgrass package modernizes the interface for GRASS 8 while still permitting the use of GRASS 7'.

r-randomizebe 0.3-6
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=randomizeBE
Licenses: GPL 2+
Build system: r
Synopsis: Create a Random List for Crossover Studies
Description:

This package contains a function to randomize subjects, patients in groups of sequences (treatment sequences). If a blocksize is given, the randomization will be done within blocks. The randomization may be controlled by a Wald-Wolfowitz runs test. Functions to obtain the p-value of that test are included. The package is mainly intended for randomization of bioequivalence studies but may be used also for other clinical crossover studies. Contains two helper functions sequences() and williams() to get the sequences of commonly used designs in BE studies.

r-rgbp 1.1.4
Propagated dependencies: r-sn@2.1.1 r-mnormt@2.1.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=Rgbp
Licenses: GPL 2
Build system: r
Synopsis: Hierarchical Modeling and Frequency Method Checking on Overdispersed Gaussian, Poisson, and Binomial Data
Description:

We utilize approximate Bayesian machinery to fit two-level conjugate hierarchical models on overdispersed Gaussian, Poisson, and Binomial data and evaluates whether the resulting approximate Bayesian interval estimates for random effects meet the nominal confidence levels via frequency coverage evaluation. The data that Rgbp assumes comprise observed sufficient statistic for each random effect, such as an average or a proportion of each group, without population-level data. The approximate Bayesian tool equipped with the adjustment for density maximization produces approximate point and interval estimates for model parameters including second-level variance component, regression coefficients, and random effect. For the Binomial data, the package provides an option to produce posterior samples of all the model parameters via the acceptance-rejection method. The package provides a quick way to evaluate coverage rates of the resultant Bayesian interval estimates for random effects via a parametric bootstrapping, which we call frequency method checking.

r-rcppcnpy 0.2.14
Dependencies: zlib@1.3.1
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/eddelbuettel/rcppcnpy
Licenses: GPL 2+
Build system: r
Synopsis: Read-Write Support for 'NumPy' Files via 'Rcpp'
Description:

The cnpy library written by Carl Rogers provides read and write facilities for files created with (or for) the NumPy extension for Python'. Vectors and matrices of numeric types can be read or written to and from files as well as compressed files. Support for integer files is available if the package has been built with as C++11 which should be the default on all platforms since the release of R 3.3.0.

r-rrphylo 3.0.2
Propagated dependencies: r-phytools@2.5-2 r-foreach@1.5.2 r-emmeans@2.0.0 r-doparallel@1.0.17 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RRphylo
Licenses: GPL 2
Build system: r
Synopsis: Phylogenetic Ridge Regression Methods for Comparative Studies
Description:

This package provides functions for phylogenetic analysis (Castiglione et al., 2018 <doi:10.1111/2041-210X.12954>). The functions perform the estimation of phenotypic evolutionary rates, identification of phenotypic evolutionary rate shifts, quantification of direction and size of evolutionary change in multivariate traits, the computation of ontogenetic shape vectors and test for morphological convergence.

r-rgnoisefilt 1.1.3
Propagated dependencies: r-rpart@4.1.24 r-randomforest@4.7-1.2 r-nnet@7.3-20 r-modelr@0.1.11 r-kknn@1.4.1 r-infotheo@1.2.0.1 r-ggplot2@4.0.1 r-gbm@2.2.2 r-fnn@1.1.4.1 r-entropy@1.3.2 r-e1071@1.7-16 r-class@7.3-23 r-arules@1.7-11
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/juanmartinsantos/rgnoisefilt
Licenses: GPL 3+
Build system: r
Synopsis: Elimination of Noisy Samples in Regression Datasets using Noise Filters
Description:

Traditional noise filtering methods aim at removing noisy samples from a classification dataset. This package adapts classic and recent filtering techniques for use in regression problems, and it also incorporates methods specifically designed for regression data. In order to do this, it uses approaches proposed in the specialized literature, such as Martin et al. (2021) [<doi:10.1109/ACCESS.2021.3123151>] and Arnaiz-Gonzalez et al. (2016) [<doi:10.1016/j.eswa.2015.12.046>]. Thus, the goal of the implemented noise filters is to eliminate samples with noise in regression datasets.

r-r2rtf 1.3.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://merck.github.io/r2rtf/
Licenses: GPL 3
Build system: r
Synopsis: Easily Create Production-Ready Rich Text Format (RTF) Tables and Figures
Description:

Create production-ready Rich Text Format (RTF) tables and figures with flexible format.

r-rvinecopulib 0.7.3.1.0
Propagated dependencies: r-wdm@0.2.6 r-rcppthread@2.2.0 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-lattice@0.22-7 r-kde1d@1.1.1 r-bh@1.87.0-1 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://vinecopulib.github.io/rvinecopulib/
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: High Performance Algorithms for Vine Copula Modeling
Description:

This package provides an interface to vinecopulib', a C++ library for vine copula modeling. The rvinecopulib package implements the core features of the popular VineCopula package, in particular inference algorithms for both vine copula and bivariate copula models. Advantages over VineCopula are a sleeker and more modern API, improved performances, especially in high dimensions, nonparametric and multi-parameter families, and the ability to model discrete variables. The rvinecopulib package includes vinecopulib as header-only C++ library (currently version 0.7.2). Thus users do not need to install vinecopulib itself in order to use rvinecopulib'. Since their initial releases, vinecopulib is licensed under the MIT License, and rvinecopulib is licensed under the GNU GPL version 3.

r-recmap 1.0.20
Propagated dependencies: r-sp@2.2-0 r-rcpp@1.1.0 r-ga@3.2.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=recmap
Licenses: GPL 3
Build system: r
Synopsis: Compute the Rectangular Statistical Cartogram
Description:

This package implements the RecMap MP2 construction heuristic <doi:10.1109/INFVIS.2004.57>. This algorithm draws maps according to a given statistical value, e.g., election results, population, or epidemiological data. The basic idea of the RecMap algorithm is that each map region, e.g., different countries, is represented by a rectangle. The area of each rectangle represents the statistical value provided as input to maintain zero cartographic error. Computationally intensive tasks are implemented in C++. The included vignette documents recmap algorithm usage.

r-rstream 1.3.7
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://statmath.wu.ac.at/arvag/
Licenses: GPL 2
Build system: r
Synopsis: Streams of Random Numbers
Description:

Unified object oriented interface for multiple independent streams of random numbers from different sources.

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