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      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
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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-rayrender 0.38.10
Dependencies: tbb@2021.6.0
Propagated dependencies: r-withr@3.0.2 r-vctrs@0.6.5 r-testthat@3.3.0 r-spacefillr@0.4.0 r-rcppthread@2.2.0 r-rcpp@1.1.0 r-rayvertex@0.12.0 r-rayimage@0.15.1 r-raster@3.6-32 r-progress@1.2.3 r-png@0.1-8 r-pillar@1.11.1 r-magrittr@2.0.4 r-decido@0.4.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://www.rayrender.net
Licenses: GPL 3
Build system: r
Synopsis: Build and Raytrace 3D Scenes
Description:

Render scenes using pathtracing. Build 3D scenes out of spheres, cubes, planes, disks, triangles, cones, curves, line segments, cylinders, ellipsoids, and 3D models in the Wavefront OBJ file format or the PLY Polygon File Format. Supports several material types, textures, multicore rendering, and tone-mapping. Based on the "Ray Tracing in One Weekend" book series. Peter Shirley (2018) <https://raytracing.github.io>.

r-rmecabko 0.1.6.2
Propagated dependencies: r-stringr@1.6.0 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RmecabKo
Licenses: GPL 2+
Build system: r
Synopsis: An 'Rcpp' Interface for Eunjeon Project
Description:

An Rcpp interface for Eunjeon project <http://eunjeon.blogspot.com/>. The mecab-ko and mecab-ko-dic is based on a C++ library, and part-of-speech tagging with them is useful when the spacing of source Korean text is not correct. This package provides part-of-speech tagging and tokenization function for Korean text.

r-rjstat 0.4.3
Propagated dependencies: r-jsonlite@2.0.0 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/ajschumacher/rjstat
Licenses: Expat
Build system: r
Synopsis: Handle 'JSON-stat' Format in R
Description:

Handle JSON-stat format (<https://json-stat.org>) in R. Not all features are supported, especially the extensive metadata features of JSON-stat'.

r-rnaseqnet 0.1.5
Propagated dependencies: r-poiclaclu@1.0.2.1 r-igraph@2.2.1 r-hot-deck@1.2 r-glmnet@4.1-10 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RNAseqNet
Licenses: GPL 3+
Build system: r
Synopsis: Log-Linear Poisson Graphical Model with Hot-Deck Multiple Imputation
Description:

Infer log-linear Poisson Graphical Model with an auxiliary data set. Hot-deck multiple imputation method is used to improve the reliability of the inference with an auxiliary dataset. Standard log-linear Poisson graphical model can also be used for the inference and the Stability Approach for Regularization Selection (StARS) is implemented to drive the selection of the regularization parameter. The method is fully described in <doi:10.1093/bioinformatics/btx819>.

r-rgan 0.1.1
Propagated dependencies: r-viridis@0.6.5 r-torch@0.16.3 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/mneunhoe/RGAN
Licenses: Expat
Build system: r
Synopsis: Generative Adversarial Nets (GAN) in R
Description:

An easy way to get started with Generative Adversarial Nets (GAN) in R. The GAN algorithm was initially described by Goodfellow et al. 2014 <https://proceedings.neurips.cc/paper/2014/file/5ca3e9b122f61f8f06494c97b1afccf3-Paper.pdf>. A GAN can be used to learn the joint distribution of complex data by comparison. A GAN consists of two neural networks a Generator and a Discriminator, where the two neural networks play an adversarial minimax game. Built-in GAN models make the training of GANs in R possible in one line and make it easy to experiment with different design choices (e.g. different network architectures, value functions, optimizers). The built-in GAN models work with tabular data (e.g. to produce synthetic data) and image data. Methods to post-process the output of GAN models to enhance the quality of samples are available.

r-rcmdrplugin-ma 0.0-2
Propagated dependencies: r-rcmdr@2.9-5 r-metafor@4.8-0 r-mad@0.8-3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://acdelre.weebly.com/
Licenses: GPL 2
Build system: r
Synopsis: Graphical User Interface for Conducting Meta-Analyses in R
Description:

Easy to use interface for conducting meta-analysis in R. This package is an Rcmdr-plugin, which allows the user to conduct analyses in a menu-driven, graphical user interface environment (e.g., CMA, SPSS). It uses recommended procedures as described in The Handbook of Research Synthesis and Meta-Analysis (Cooper, Hedges, & Valentine, 2009).

r-rrda 0.2.3
Propagated dependencies: r-scales@1.4.0 r-rspectra@0.16-2 r-reshape2@1.4.5 r-pheatmap@1.0.13 r-mass@7.3-65 r-ggplot2@4.0.1 r-furrr@0.3.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rrda
Licenses: GPL 3+
Build system: r
Synopsis: Ridge Redundancy Analysis for High-Dimensional Omics Data
Description:

Efficient framework for ridge redundancy analysis (rrda), tailored for high-dimensional omics datasets where the number of predictors exceeds the number of samples. The method leverages Singular Value Decomposition (SVD) to avoid direct inversion of the covariance matrix, enhancing scalability and performance. It also introduces a memory-efficient storage strategy for coefficient matrices, enabling practical use in large-scale applications. The package supports cross-validation for selecting regularization parameters and reduced-rank dimensions, making it a robust and flexible tool for multivariate analysis in omics research. Please refer to our article (Yoshioka et al., 2025) for more details.

r-rjaf 0.1.3
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-readr@2.1.6 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-ranger@0.17.0 r-randomforest@4.7-1.2 r-mass@7.3-65 r-magrittr@2.0.4 r-forcats@1.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/wustat/rjaf
Licenses: GPL 3
Build system: r
Synopsis: Regularized Joint Assignment Forest with Treatment Arm Clustering
Description:

Personalized assignment to one of many treatment arms via regularized and clustered joint assignment forests as described in Ladhania, Spiess, Ungar, and Wu (2023) <doi:10.48550/arXiv.2311.00577>. The algorithm pools information across treatment arms: it considers a regularized forest-based assignment algorithm based on greedy recursive partitioning that shrinks effect estimates across arms; and it incorporates a clustering scheme that combines treatment arms with consistently similar outcomes.

r-recassorules 1.0
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/LouisRaimbault/RecAssoRules-R
Licenses: GPL 2+
Build system: r
Synopsis: Recursive Mining for Frequent Pattern and Confident Association Rules
Description:

This package provides functions allowing the user to recursively extract frequent patterns and confident rules according to indicators of minimal support and minimal confidence. These functions are described in "Recursive Association Rule Mining" Abdelkader Mokkadem, Mariane Pelletier, Louis Raimbault (2020) <arXiv:2011.14195>.

r-recurrentpseudo 1.0.0
Propagated dependencies: r-survival@3.8-3 r-stringr@1.6.0 r-prodlim@2025.04.28 r-magrittr@2.0.4 r-geepack@1.3.13 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/JulieKFurberg/recurrentpseudo
Licenses: GPL 2+
Build system: r
Synopsis: Creates Pseudo-Observations and Analysis for Recurrent Event Data
Description:

Computation of one-, two- and three-dimensional pseudo-observations based on recurrent events and terminal events. Generalised linear models are fitted using generalised estimating equations. Technical details on the bivariate procedure can be found in "Bivariate pseudo-observations for recurrent event analysis with terminal events" (Furberg et al., 2021) <doi:10.1007/s10985-021-09533-5>.

r-rplotengine 1.0-9
Propagated dependencies: r-xtable@1.8-4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://www.umh.es
Licenses: GPL 2+
Build system: r
Synopsis: R as a Plotting Engine
Description:

Generate basic charts either by custom applications, or from a small script launched from the system console, or within the R console. Two ASCII text files are necessary: (1) The graph parameters file, which name is passed to the function rplotengine()'. The user can specify the titles, choose the type of the graph, graph output formats (e.g. png, eps), proportion of the X-axis and Y-axis, position of the legend, whether to show or not a grid at the background, etc. (2) The data to be plotted, which name is specified as a parameter ('data_filename') in the previous file. This data file has a tabulated format, with a single character (e.g. tab) between each column. Optionally, the file could include data columns for showing confidence intervals.

r-read-abares 2.0.0
Propagated dependencies: r-withr@3.0.2 r-whoami@1.3.0 r-tidync@0.4.0 r-terra@1.8-86 r-stringr@1.6.0 r-stars@0.6-8 r-sf@1.0-23 r-rlang@1.1.6 r-readxl@1.4.5 r-purrr@1.2.0 r-lubridate@1.9.4 r-httr2@1.2.1 r-htm2txt@2.2.2 r-fs@1.6.6 r-data-table@1.17.8 r-cli@3.6.5 r-brio@1.1.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/ropensci/read.abares
Licenses: Expat
Build system: r
Synopsis: Read Data from the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) and Australian Bureau of Statistics (ABS)
Description:

Download and import agricultural data from the Australian Bureau of Agricultural and Resource Economics and Sciences (ABARES) <https://www.agriculture.gov.au/abares> and Australian Bureau of Statistics (ABS) <https://www.abs.gov.au>. Data types serviced include spreadsheets, comma separated value (CSV) files, geospatial data including shape files and geotiffs covering topics including broadacre crops, livestock, soil data, commodities and more. Unifies field names and formats for data interoperability making analysis easier by standardising names between data formats. Also simplifies importing geospatial data as well as correcting issues in the geospatial data upon import.

r-rocsi 0.1.0
Propagated dependencies: r-mass@7.3-65 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=ROCSI
Licenses: GPL 2+
Build system: r
Synopsis: Receiver Operating Characteristic Based Signature Identification
Description:

Optimal linear combination predictive signatures for maximizing the area between two Receiver Operating Characteristic (ROC) curves (treatment vs. control).

r-redirection 1.0.1
Propagated dependencies: r-pracma@2.4.6 r-mass@7.3-65 r-gtools@3.9.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=ReDirection
Licenses: GPL 3
Build system: r
Synopsis: Predict Dominant Direction of Reactions of a Biochemical Network
Description:

Biologically relevant, yet mathematically sound constraints are used to compute the propensity and thence infer the dominant direction of reactions of a generic biochemical network. The reactions must be unique and their number must exceed that of the reactants,i.e., reactions >= reactants + 2. ReDirection', computes the null space of a user-defined stoichiometry matrix. The spanning non-zero and unique reaction vectors (RVs) are combinatorially summed to generate one or more subspaces recursively. Every reaction is represented as a sequence of identical components across all RVs of a particular subspace. The terms are evaluated with (biologically relevant bounds, linear maps, tests of convergence, descriptive statistics, vector norms) and the terms are classified into forward-, reverse- and equivalent-subsets. Since, these are mutually exclusive the probability of occurrence is binary (all, 1; none, 0). The combined propensity of a reaction is the p1-norm of the sub-propensities, i.e., sum of the products of the probability and maximum numeric value of a subset (least upper bound, greatest lower bound). This, if strictly positive is the probable rate constant, is used to infer dominant direction and annotate a reaction as "Forward (f)", "Reverse (b)" or "Equivalent (e)". The inherent computational complexity (NP-hard) per iteration suggests that a suitable value for the number of reactions is around 20. Three functions comprise ReDirection. These are check_matrix() and reaction_vector() which are internal, and calculate_reaction_vector() which is external.

r-rwisp 1.0.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/dioubernardo/rwisp
Licenses: GPL 3+
Build system: r
Synopsis: WISP Multiple Criteria Sorting Method
Description:

Implementation of the Integrated Simple Weighted Sum Product Method (WISP), a multiple criteria sorting method create by Dragisa Stanujkic (2021) <doi:10.1109/TEM.2021.3075783>.

r-remulate 2.1.0
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/TilburgNetworkGroup/remulate
Licenses: Expat
Build system: r
Synopsis: Simulate Dynamic Networks from Relational Event Models
Description:

Model based simulation of dynamic networks under tie-oriented (Butts, C., 2008, <doi:10.1111/j.1467-9531.2008.00203.x>) and actor-oriented (Stadtfeld, C., & Block, P., 2017, <doi:10.15195/v4.a14>) relational event models. Supports simulation from a variety of relational event model extensions, including temporal variability in effects, heterogeneity through dyadic latent class relational event models (DLC-REM), random effects, blockmodels, and memory decay in relational event models (Lakdawala, R., 2024 <doi:10.48550/arXiv.2403.19329>). The development of this package was supported by a Vidi Grant (452-17-006) awarded by the Netherlands Organization for Scientific Research (NWO) Grant and an ERC Starting Grant (758791).

r-rcc 1.0.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://github.com/jean997/rcc
Licenses: GPL 2+
Build system: r
Synopsis: Parametric Bootstrapping to Control Rank Conditional Coverage
Description:

This package provides functions to implement the parametric and non-parametric bootstrap confidence interval methods described in Morrison and Simon (2017) <arXiv:1702.06986>.

r-rglplus 1.3
Propagated dependencies: r-rgl@1.3.31
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rglplus
Licenses: GPL 3
Build system: r
Synopsis: Extension of the 'rgl' 3D Visualization Package
Description:

This package provides 3D plotting routines that facilitate the use of the rgl package and extend its functionality. For example, the routines allow the user to directly control the camera position & orientation, as well as to generate 3D movies with a moving observer.

r-rcplex 0.3-8
Propagated dependencies: r-slam@0.1-55
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://R-Forge.R-project.org/projects/rcplex
Licenses: LGPL 2.0+
Build system: r
Synopsis: R Interface to CPLEX
Description:

R interface to CPLEX solvers for linear, quadratic, and (linear and quadratic) mixed integer programs. Support for quadratically constrained programming is available. See the file "INSTALL" for details on how to install the Rcplex package in Linux/Unix-like and Windows systems. Support for sparse matrices is provided by an S3-style class "simple_triplet_matrix" from package slam and by objects from the Matrix package class hierarchy.

r-regsdc 1.0.0
Propagated dependencies: r-ssbtools@1.8.6 r-matrix@1.7-4 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/olangsrud/RegSDC
Licenses: ASL 2.0 FSDG-compatible
Build system: r
Synopsis: Information Preserving Regression-Based Tools for Statistical Disclosure Control
Description:

Implementation of the methods described in the paper with the above title: Langsrud, Ã . (2019) <doi:10.1007/s11222-018-9848-9>. The package can be used to generate synthetic or hybrid continuous microdata, and the relationship to the original data can be controlled in several ways. A function for replacing suppressed tabular cell frequencies with decimal numbers is included.

r-rnentropy 1.2.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RNentropy
Licenses: GPL 3
Build system: r
Synopsis: Entropy Based Method for the Detection of Significant Variation in Gene Expression Data
Description:

An implementation of a method based on information theory devised for the identification of genes showing a significant variation of expression across multiple conditions. Given expression estimates from any number of RNA-Seq samples and conditions it identifies genes or transcripts with a significant variation of expression across all the conditions studied, together with the samples in which they are over- or under-expressed. Zambelli et al. (2018) <doi:10.1093/nar/gky055>.

r-rarestr 1.1.1
Propagated dependencies: r-rdpack@2.6.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/pzhaonet/rarestR
Licenses: Expat
Build system: r
Synopsis: Rarefaction-Based Species Richness Estimator
Description:

Calculate rarefaction-based alpha- and beta-diversity. Offer parametric extrapolation to estimate the total expected species in a single community and the total expected shared species between two communities. Visualize the curve-fitting for these estimators.

r-rfishbase 5.0.2
Propagated dependencies: r-xml2@1.5.0 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-memoise@2.0.1 r-magrittr@2.0.4 r-glue@1.8.0 r-duckdbfs@0.1.2 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://docs.ropensci.org/rfishbase/
Licenses: CC0
Build system: r
Synopsis: R Interface to 'FishBase'
Description:

This package provides a programmatic interface to FishBase', re-written based on an accompanying RESTful API. Access tables describing over 30,000 species of fish, their biology, ecology, morphology, and more. This package also supports experimental access to SeaLifeBase data, which contains nearly 200,000 species records for all types of aquatic life not covered by FishBase.'.

r-rlumshiny 0.2.7
Propagated dependencies: r-shinydashboard@0.7.3 r-shiny@1.11.1 r-rhandsontable@0.3.8 r-readxl@1.4.5 r-rcarb@0.1.7 r-markdown@2.0 r-luminescence@1.1.2 r-leaflet@2.2.3 r-knitr@1.50 r-googlevis@0.7.3 r-dt@0.34.0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://tzerk.github.io/RLumShiny/
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: 'Shiny' Applications for the R Package 'Luminescence'
Description:

This package provides a collection of shiny applications for the R package Luminescence'. These mainly, but not exclusively, include applications for plotting chronometric data from e.g. luminescence or radiocarbon dating. It further provides access to bootstraps tooltip and popover functionality and contains the jscolor.js library with a custom shiny output binding.

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