_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/

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-randpro 0.2.2
Propagated dependencies: r-e1071@1.7-16 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RandPro
Licenses: GPL 2+
Build system: r
Synopsis: Random Projection with Classification
Description:

This package performs random projection using Johnson-Lindenstrauss (JL) Lemma (see William B.Johnson and Joram Lindenstrauss (1984) <doi:10.1090/conm/026/737400>). Random Projection is a dimension reduction technique, where the data in the high dimensional space is projected into the low dimensional space using JL transform. The original high dimensional data matrix is multiplied with the low dimensional projection matrix which results in reduced matrix. The projection matrix can be generated using the projection function that is independent to the original data. Then finally apply the classification task on the projected data.

r-rioja 1.0-7
Propagated dependencies: r-vegan@2.7-2 r-mgcv@1.9-4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://www.staff.ncl.ac.uk/stephen.juggins/
Licenses: GPL 2
Build system: r
Synopsis: Analysis of Quaternary Science Data
Description:

Constrained clustering, transfer functions, and other methods for analysing Quaternary science data.

r-rjade 0.1.1
Propagated dependencies: r-v8@8.0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rjade
Licenses: Expat
Build system: r
Synopsis: Clean, Whitespace-Sensitive Template Language for Writing HTML
Description:

Jade is a high performance template engine heavily influenced by Haml and implemented with JavaScript for node and browsers.

r-reporter-nih 0.1.4
Propagated dependencies: r-tibble@3.3.0 r-purrr@1.2.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-janitor@2.2.1 r-httr@1.4.7 r-dplyr@1.1.4 r-crayon@1.5.3 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/bikeactuary/repoRter.nih
Licenses: Expat
Build system: r
Synopsis: R Interface to the 'NIH RePORTER Project' API
Description:

This package provides methods to easily build requests in the non-standard JSON schema required by the National Institute of Health (NIH)'s RePORTER Project API <https://api.reporter.nih.gov/#/Search/post_v2_projects_search>. Also retrieve and process result sets as either a ragged or flattened tibble'.

r-rgroovy 1.3
Dependencies: openjdk@25
Propagated dependencies: r-rjava@1.0-11
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://groovy-lang.org/
Licenses: LGPL 3
Build system: r
Synopsis: Groovy Language Integration
Description:

Integrates the Groovy scripting language with the R Project for Statistical Computing.

r-rato 0.1.0
Propagated dependencies: r-igraph@2.2.1 r-desolve@1.40
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=Rato
Licenses: GPL 3
Build system: r
Synopsis: Resilience Analysis Toolkit (RATO)
Description:

Collection of tools for the analysis of the resilience of dynamic networks. Created as a classroom project.

r-refund 0.1-38
Propagated dependencies: r-rlrsim@3.1-8 r-pbs@1.1 r-nlme@3.1-168 r-mgcv@1.9-4 r-matrix@1.7-4 r-mass@7.3-65 r-magic@1.6-1 r-lme4@1.1-37 r-lattice@0.22-7 r-grpreg@3.5.0 r-ggplot2@4.0.1 r-gamm4@0.2-7 r-fda@6.3.0 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/refunders/refund
Licenses: GPL 2+
Build system: r
Synopsis: Regression with Functional Data
Description:

This package provides methods for regression for functional data, including function-on-scalar, scalar-on-function, and function-on-function regression. Some of the functions are applicable to image data.

r-rpact 4.4.0
Propagated dependencies: r-rlang@1.1.6 r-rcpp@1.1.0 r-r6@2.6.1 r-knitr@1.50
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://www.rpact.org
Licenses: LGPL 3
Build system: r
Synopsis: Confirmatory Adaptive Clinical Trial Design and Analysis
Description:

Design and analysis of confirmatory adaptive clinical trials with continuous, binary, and survival endpoints according to the methods described in the monograph by Wassmer and Brannath (2025) <doi:10.1007/978-3-031-89669-9>. This includes classical group sequential as well as multi-stage adaptive hypotheses tests that are based on the combination testing principle.

r-rhybridfinder 0.2.0
Propagated dependencies: r-seqinr@4.2-36 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RHybridFinder
Licenses: Expat
Build system: r
Synopsis: Identification of Hybrid Peptides in Immunopeptidomic Analyses
Description:

Tool for the analysis Mass Spectrometry (MS) data in the context of immunopeptidomic analysis for the identification of hybrid peptides and the predictions of binding affinity of all peptides using netMHCpan <doi:10.1093/nar/gkaa379> while providing a summary of the netMHCpan output. RHybridFinder (RHF) is destined for researchers who are looking to analyze their MS data for the purpose of identification of potential spliced peptides. This package, developed mainly in base R, is based on the workflow published by Faridi et al. in 2018 <doi:10.1126/sciimmunol.aar3947>.

r-rflsgen 1.2.2
Dependencies: openjdk@25
Propagated dependencies: r-terra@1.8-86 r-rjava@1.0-11 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://dimitri-justeau.github.io/rflsgen/
Licenses: GPL 3
Build system: r
Synopsis: Neutral Landscape Generator with Targets on Landscape Indices
Description:

Interface to the flsgen neutral landscape generator <https://github.com/dimitri-justeau/flsgen>. It allows to - Generate fractal terrain; - Generate landscape structures satisfying user targets over landscape indices; - Generate landscape raster from landscape structures.

r-rtf 0.4-14.1
Propagated dependencies: r-r-oo@1.27.1 r-r-methodss3@1.8.2
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/schaffman5/rtf
Licenses: GPL 2+
Build system: r
Synopsis: Rich Text Format (RTF) Output
Description:

This package provides a set of R functions to output Rich Text Format (RTF) files with high resolution tables and graphics that may be edited with a standard word processor such as Microsoft Word.

r-rthingsboard 0.2.7
Propagated dependencies: r-logger@0.4.1 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://ddorch.github.io/Rthingsboard/
Licenses: AGPL 3
Build system: r
Synopsis: 'ThingsBoard' API
Description:

The goal of Rthingsboard is to provide interaction with the API of ThingsBoard (<https://thingsboard.io/>), an open-source IoT platform for device management, data collection, processing and visualization.

r-rhclust 2.0.0
Propagated dependencies: r-runuran@0.41
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RHclust
Licenses: Artistic License 2.0
Build system: r
Synopsis: Vector in Partition
Description:

Non-parametric clustering of joint pattern multi-genetic/epigenetic factors. This package contains functions designed to cluster subjects based on gene features including single nucleotide polymorphisms (SNPs), DNA methylation (CPG), gene expression (GE), and covariate data. The novel concept follows the general K-means (Hartigan and Wong (1979) <doi:10.2307/2346830> framework but uses weighted Euclidean distances across the gene features to cluster subjects. This approach is unique in that it attempts to capture all pairwise interactions in an effort to cluster based on their complex biological interactions.

r-rmixmod 2.1.10
Propagated dependencies: r-rcppeigen@0.3.4.0.2 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=Rmixmod
Licenses: GPL 3
Build system: r
Synopsis: Classification with Mixture Modelling
Description:

Interface of MIXMOD software for supervised, unsupervised and semi-supervised classification with mixture modelling <doi: 10.18637/jss.v067.i06>.

r-rtfa 0.1.0
Propagated dependencies: r-tensor@1.5.1 r-rtensor@1.4.9
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RTFA
Licenses: GPL 2+
Build system: r
Synopsis: Robust Factor Analysis for Tensor Time Series
Description:

Tensor Factor Models (TFM) are appealing dimension reduction tools for high-order tensor time series, and have wide applications in economics, finance and medical imaging. We propose an one-step projection estimator by minimizing the least-square loss function, and further propose a robust estimator with an iterative weighted projection technique by utilizing the Huber loss function. The methods are discussed in Barigozzi et al. (2022) <arXiv:2206.09800>, and Barigozzi et al. (2023) <arXiv:2303.18163>.

r-rwc 1.12
Propagated dependencies: r-raster@3.6-32 r-mvtnorm@1.3-3 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://cran.r-project.org/package=rwc
Licenses: GPL 2
Build system: r
Synopsis: Random Walk Covariance Models
Description:

Code to facilitate simulation and inference when connectivity is defined by underlying random walks. Methods for spatially-correlated pairwise distance data are especially considered. This provides core code to conduct analyses similar to that in Hanks and Hooten (2013) <doi:10.1080/01621459.2012.724647>.

r-rapparmor 3.2.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RAppArmor
Licenses: ASL 2.0
Build system: r
Synopsis: Bindings to AppArmor and Security Related Linux Tools
Description:

Bindings to kernel methods for enforcing security restrictions. AppArmor can apply mandatory access control (MAC) policies on a given task (process) via security profiles with detailed ACL definitions. In addition this package implements bindings for setting process resource limits (rlimit), uid, gid, affinity and priority. The high level R function eval.secure builds on these methods to perform dynamic sandboxing: it evaluates a single R expression within a temporary fork which acts as a sandbox by enforcing fine grained restrictions without affecting the main R process. A portable version of this function is now available in the unix package.

r-rspm 0.7.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran4linux.github.io/rspm/
Licenses: Expat
Build system: r
Synopsis: 'RStudio' Package Manager
Description:

Enables binary package installations on Linux distributions. Provides access to RStudio public repositories at <https://packagemanager.posit.co>, and transparent management of system requirements without administrative privileges. Currently supported distributions are CentOS / RHEL', and several RHEL derivatives ('Rocky Linux', AlmaLinux', Oracle Linux', and Amazon Linux'), openSUSE / SLES', Debian', and Ubuntu LTS.

r-rsoi 0.5.7
Propagated dependencies: r-memoise@2.0.1 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://boshek.github.io/rsoi/
Licenses: GPL 3+
Build system: r
Synopsis: Import Various Northern and Southern Hemisphere Climate Indices
Description:

Downloads Southern Oscillation Index, Oceanic Nino Index, North Pacific Gyre Oscillation data, North Atlantic Oscillation and Arctic Oscillation. Data sources are described in the help files for each function.

r-radstackshelpr 0.1.0
Propagated dependencies: r-vcfr@1.15.0 r-gridextra@2.3 r-ggridges@0.5.7 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=RADstackshelpR
Licenses: Expat
Build system: r
Synopsis: Optimize the De Novo Stacks Pipeline via R
Description:

Offers a handful of useful wrapper functions which streamline the reading, analyzing, and visualizing of variant call format (vcf) files in R. This package was designed to facilitate an explicit pipeline for optimizing Stacks (Rochette et al., 2019) (<doi:10.1111/mec.15253>) parameters during de novo (without a reference genome) assembly and variant calling of restriction-enzyme associated DNA sequence (RADseq) data. The pipeline implemented here is based on the 2017 paper "Lost in Parameter Space" (Paris et al., 2017) (<doi:10.1111/2041-210X.12775>) which establishes clear recommendations for optimizing the parameters m', M', and n', during the process of assembling loci.

r-rmytarget 2.4.0
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-purrr@1.2.0 r-lubridate@1.9.4 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://selesnow.github.io/rmytarget/
Licenses: Expat
Build system: r
Synopsis: Load Data from 'MyTarget API v2 and v3'
Description:

Allows work with MyTarget Statistics API v2 <https://target.my.com/adv/api-marketing/doc/stat-v2> and MyTarget Statistics API v3 <https://target.my.com/adv/api-marketing/doc/stat-v2#statisticsv3> load data by ads, campaigns, agency clients and statistic from your ads account.

r-rcmdrplugin-export 0.3-1
Propagated dependencies: r-xtable@1.8-4 r-rcmdr@2.9-5 r-hmisc@5.2-4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RcmdrPlugin.Export
Licenses: GPL 2+
Build system: r
Synopsis: Export R Output to LaTeX or HTML
Description:

Export Rcmdr output to LaTeX or HTML code. The plug-in was originally intended to facilitate exporting Rcmdr output to formats other than ASCII text and to provide R novices with an easy-to-use, easy-to-access reference on exporting R objects to formats suited for printed output. The package documentation contains several pointers on creating reports, either by using conventional word processors or LaTeX/LyX.

r-rocsvm-path 0.1.0
Propagated dependencies: r-svmpath@0.970 r-quadprog@1.5-8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rocsvm.path
Licenses: GPL 2
Build system: r
Synopsis: The Entire Solution Paths for ROC-SVM
Description:

We develop the entire solution paths for ROC-SVM presented by Rakotomamonjy. The ROC-SVM solution path algorithm greatly facilitates the tuning procedure for regularization parameter, lambda in ROC-SVM by avoiding grid search algorithm which may be computationally too intensive. For more information on the ROC-SVM, see the report in the ROC Analysis in AI workshop(ROCAI-2004) : Hernà ndez-Orallo, José, et al. (2004) <doi:10.1145/1046456.1046489>.

r-rcppcolmetric 0.1.0
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/zhuxr11/RcppColMetric
Licenses: Expat
Build system: r
Synopsis: Efficient Column-Wise Metric Computation Against Common Vector
Description:

In data science, it is a common practice to compute a series of columns (e.g. features) against a common response vector. Various metrics are provided with efficient computation implemented with Rcpp'.

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Total results: 69112