_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
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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-rcollectadhd 0.8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rcollectadhd
Licenses: GPL 3+
Build system: r
Synopsis: Collection of Data Sets Containing ADHD Related Data
Description:

This package provides a collection of data sets relating to ADHD (Attention Deficit Hyperactivity Disorder) which have been sourced from other packages on CRAN or from publications on other websites such as Kaggle <http://www.kaggle.com/>.The package also includes some simple functions for analysing data sets. The data sets and descriptions of the data sets may differ from what is on CRAN or other source websites. The aim of this package is to bring together data sets from a variety of ADHD research publications. This package would be useful for those interested in finding out what research has been done on the topic of ADHD, or those interested in comparing the results from different existing works. I started this project because I wanted to put together a collection of the data sets relevant to ADHD research, which I have a personal interest in. This work was conducted with the support of my mentor within the Global Talent Mentoring platform. <https://globaltalentmentoring.org/>.

r-readapra 0.2.1
Propagated dependencies: r-tidyxl@1.0.10 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-stringdist@0.9.15 r-rvest@1.0.5 r-robotstxt@0.7.15 r-rlang@1.1.6 r-ratelimitr@0.4.2 r-purrr@1.2.0 r-polite@0.1.3 r-memoise@2.0.1 r-lubridate@1.9.4 r-janitor@2.2.1 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://github.com/javanderwal/readapra
Licenses: Expat
Build system: r
Synopsis: Download and Tidy Data from the Australian Prudential Regulation Authority
Description:

Download the latest data from the Australian Prudential Regulation Authority <https://www.apra.gov.au/> and import it into R as a tidy data frame.

r-ruler 0.3.1
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-keyholder@0.1.8 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://echasnovski.github.io/ruler/
Licenses: Expat
Build system: r
Synopsis: Tidy Data Validation Reports
Description:

This package provides tools for creating data validation pipelines and tidy reports. This package offers a framework for exploring and validating data frame like objects using dplyr grammar of data manipulation.

r-rankingproject 0.4.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/civilstat/RankingProject
Licenses: GPL 2
Build system: r
Synopsis: The Ranking Project: Visualizations for Comparing Populations
Description:

This package provides functions to generate plots and tables for comparing independently- sampled populations. Companion package to "A Primer on Visualizations for Comparing Populations, Including the Issue of Overlapping Confidence Intervals" by Wright, Klein, and Wieczorek (2019) <DOI:10.1080/00031305.2017.1392359> and "A Joint Confidence Region for an Overall Ranking of Populations" by Klein, Wright, and Wieczorek (2020) <DOI:10.1111/rssc.12402>.

r-rswipl 10.1.4
Dependencies: zlib@1.3.1 pandoc@2.19.2 zstd@1.5.6 zlib@1.3.1 xz@5.4.5 lz4@1.10.0 expat@2.7.1 libarchive@3.7.7 cmake@4.1.3
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/mgondan/rswipl
Licenses: FSDG-compatible
Build system: r
Synopsis: Embed 'SWI'-'Prolog'
Description:

Interface to SWI'-'Prolog', <https://www.swi-prolog.org/>. This package is normally not loaded directly, please refer to package rolog instead. The purpose of this package is to provide the Prolog runtime on systems that do not have a software installation of SWI'-'Prolog'.

r-rgenetics 0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RGenetics
Licenses: GPL 2+
Build system: r
Synopsis: R packages for genetics research
Description:

R packages for genetics research.

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-rfuzzycoco 0.1.0
Propagated dependencies: r-rcpp@1.1.0 r-generics@0.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/Lonza-RND-Data-Science/Rfuzzycoco
Licenses: GPL 3+
Build system: r
Synopsis: Provides an R Interface to the 'FuzzyCoCo' C++ Library and Extends It
Description:

This package provides and extends the Fuzzy Coco algorithm by wrapping the FuzzyCoCo C++ Library, cf <https://github.com/Lonza-RND-Data-Science/fuzzycoco>. Fuzzy Coco constructs systems that predict the outcome of a human decision-making process while providing an understandable explanation of a possible reasoning leading to it. The constructed fuzzy systems are composed of rules and linguistic variables. This package provides a S3 classic interface (fit_xy()/fit()/predict()/evaluate()) and a tidymodels'/'parsnip interface, a custom engine with custom iteration stop criterion and progress bar support as well as a systematic implementation that do not rely on genetic programming but rather explore all possible combinations.

r-robfilter 4.1.6
Propagated dependencies: r-robustbase@0.99-6 r-mass@7.3-65 r-lattice@0.22-7
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://msnat.statistik.tu-dortmund.de/en/team/chair/
Licenses: GPL 2+
Build system: r
Synopsis: Robust Time Series Filters
Description:

Implementations for several robust procedures that allow for (online) extraction of the signal of univariate or multivariate time series by applying robust regression techniques to a moving time window are provided. Included are univariate filtering procedures based on repeated-median regression as well as hybrid and trimmed filters derived from it; see Schettlinger et al. (2006) <doi:10.1515/BMT.2006.010>. The adaptive online repeated median by Schettlinger et al. (2010) <doi:10.1002/acs.1105> and the slope comparing adaptive repeated median by Borowski and Fried (2013) <doi:10.1007/s11222-013-9391-7> choose the width of the moving time window adaptively. Multivariate versions are also provided; see Borowski et al. (2009) <doi:10.1080/03610910802514972> for a multivariate online adaptive repeated median and Borowski (2012) <doi:10.17877/DE290R-14393> for a multivariate slope comparing adaptive repeated median. Furthermore, a repeated-median based filter with automatic outlier replacement and shift detection is provided; see Fried (2004) <doi:10.1080/10485250410001656444>.

r-rmetalog 1.0.3
Propagated dependencies: r-lpsolve@5.6.23 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=rmetalog
Licenses: Expat
Build system: r
Synopsis: The Metalog Distribution
Description:

Implementation of the metalog distribution in R. The metalog distribution is a modern, highly flexible, data-driven distribution. Metalogs are developed by Keelin (2016) <doi:10.1287/deca.2016.0338>. This package provides functions to build these distributions from raw data. Resulting metalog objects are then useful for exploratory and probabilistic analysis.

r-rcausalmgm 1.0
Propagated dependencies: r-survival@3.8-3 r-rcppthread@2.2.0 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rCausalMGM
Licenses: GPL 3
Build system: r
Synopsis: Scalable Causal Discovery and Model Selection on Mixed Datasets with 'rCausalMGM'
Description:

Scalable methods for learning causal graphical models from mixed data, including continuous, discrete, and censored variables. The package implements CausalMGM, which combines a convex, score-based approach for learning an initial moralized graph with a producer-consumer scheme that enables efficient parallel conditional independence testing in constraint-based causal discovery algorithms. The implementation supports high-dimensional datasets and provides individual access to core components of the workflow, including MGM and the PC-Stable and FCI-Stable causal discovery algorithms. To support practical applications, the package includes multiple model selection strategies, including information criteria based on likelihood and model complexity, cross-validation for out-of-sample likelihood estimation, and stability-based approaches that assess graph robustness across subsamples.

r-r-proxy 0.1.3
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/xiayh17/r.proxy
Licenses: Expat
Build system: r
Synopsis: Set Proxy in R Console
Description:

The use of proxies is required in certain network environments. Despite the power of system level software, it is still inconvenient to switch proxy networks at random in R's console. This package is designed to provide one-click switching between proxy and non-proxy states.

r-replicatedpp2w 0.1-6
Propagated dependencies: r-spatstat-utils@3.2-0 r-spatstat-geom@3.6-1 r-spatstat-explore@3.6-0 r-spatstat@3.4-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=replicatedpp2w
Licenses: GPL 2+
Build system: r
Synopsis: Two-Way ANOVA-Like Method to Analyze Replicated Point Patterns
Description:

Test for effects of both individual factors and their interaction on replicated spatial patterns in a two factorial design, as explained in Ramon et al. (2016) <doi:10.1111/ecog.01848>.

r-roundyh 0.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=roundyh
Licenses: Expat
Build system: r
Synopsis: Round Dataframe
Description:

This package provides a simple rounding function. The default round() function in R uses the IEC 60559 standard and therefore it rounds 0.5 to 0 and rounds -1.5 to -2. The roundx() function accounts for this and helps to round 0.5 up to 1.

r-rcpa 0.2.8
Propagated dependencies: r-tidyr@1.3.1 r-summarizedexperiment@1.40.0 r-stringr@1.6.0 r-scales@1.4.0 r-robustrankaggreg@1.2.1 r-rlang@1.1.6 r-limma@3.66.0 r-jsonlite@2.0.0 r-irdisplay@1.1 r-httr@1.4.7 r-graph@1.88.0 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-ggpattern@1.2.1 r-ggnewscale@0.5.2 r-geoquery@2.78.0 r-edger@4.8.0 r-dplyr@1.1.4 r-deseq2@1.50.2 r-biocmanager@1.30.27 r-biobase@2.70.0 r-annotationdbi@1.72.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RCPA
Licenses: GPL 3
Build system: r
Synopsis: Consensus Pathway Analysis
Description:

This package provides a set of functions to perform pathway analysis and meta-analysis from multiple gene expression datasets, as well as visualization of the results. This package wraps functionality from the following packages: Ritchie et al. (2015) <doi:10.1093/nar/gkv007>, Love et al. (2014) <doi:10.1186/s13059-014-0550-8>, Robinson et al. (2010) <doi:10.1093/bioinformatics/btp616>, Korotkevich et al. (2016) <arxiv:10.1101/060012>, Efron et al. (2015) <https://CRAN.R-project.org/package=GSA>, and Gu et al. (2012) <https://CRAN.R-project.org/package=CePa>.

r-richcluster 1.0.2
Propagated dependencies: r-viridis@0.6.5 r-tidyr@1.3.1 r-rcpp@1.1.0 r-plotly@4.11.0 r-networkd3@0.4.1 r-magrittr@2.0.4 r-iheatmapr@0.7.1 r-igraph@2.2.1 r-heatmaply@1.6.0 r-fields@17.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/hurlab/richCluster
Licenses: GPL 3
Build system: r
Synopsis: Fast, Robust Clustering Algorithms for Gene Enrichment Data
Description:

Fast C++ agglomerative hierarchical clustering algorithm packaged into easily callable R functions, designed to help cluster biological terms based on how similar of genes are expressed in their activation.

r-rgoogleads 0.13.3
Propagated dependencies: r-withr@3.0.2 r-tidyr@1.3.1 r-stringr@1.6.0 r-snakecase@0.11.1 r-rvest@1.0.5 r-rlist@0.4.6.2 r-rlang@1.1.6 r-rappdirs@0.3.3 r-purrr@1.2.0 r-pbapply@1.7-4 r-memoise@2.0.1 r-lifecycle@1.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-gargle@1.6.0 r-dplyr@1.1.4 r-cli@3.6.5 r-cachem@1.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://selesnow.github.io/rgoogleads/
Licenses: Expat
Build system: r
Synopsis: Loading Data from 'Google Ads API'
Description:

Interface for loading data from Google Ads API', see <https://developers.google.com/google-ads/api/docs/start>. Package provide function for authorization and loading reports.

r-rtmbdist 1.0.1
Propagated dependencies: r-statmod@1.5.1 r-sn@2.1.1 r-rtmb@1.8 r-movmf@0.2-10 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://janolefi.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-rgabriel 0.9
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/yufree/rgabriel
Licenses: GPL 2+
Build system: r
Synopsis: Gabriel Multiple Comparison Test and Plot the Confidence Interval on Barplot
Description:

Analyze multi-level one-way experimental designs where there are unequal sample sizes and population variance homogeneity can not be assumed. To conduct the Gabriel test <doi:10.2307/2286265>, create two vectors: one for your observations and one for the factor level of each observation. The function, rgabriel, conduct the test and save the output as a vector to input into the gabriel.plot function, which produces a confidence interval plot for Multiple Comparison.

r-rode 0.99.6
Propagated dependencies: r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/f0nzie/rODE
Licenses: GPL 2
Build system: r
Synopsis: Ordinary Differential Equation (ODE) Solvers Written in R Using S4 Classes
Description:

Show physics, math and engineering students how an ODE solver is made and how effective R classes can be for the construction of the equations that describe natural phenomena. Inspiration for this work comes from the book on "Computer Simulations in Physics" by Harvey Gould, Jan Tobochnik, and Wolfgang Christian. Book link: <http://www.compadre.org/osp/items/detail.cfm?ID=7375>.

r-robustanova 0.3.0
Propagated dependencies: r-peip@2.2-5 r-optimbase@1.0-10
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RobustANOVA
Licenses: GPL 3+
Build system: r
Synopsis: Robust One-Way ANOVA Tests under Heteroscedasticity and Nonnormality
Description:

Robust tests (RW, RPB and RGF) are provided for testing the equality of several long-tailed symmetric (LTS) means when the variances are unknown and arbitrary. RW, RPB and RGF tests are robust versions of Welch's F test proposed by Welch (1951) <doi:10.2307/2332579>, parametric bootstrap test proposed by Krishnamoorthy et. al (2007) <doi:10.1016/j.csda.2006.09.039>; and generalized F test proposed by Weerahandi (1995) <doi:10.2307/2532947>;, respectively. These tests are based on the modified maximum likelihood (MML) estimators proposed by Tiku(1967, 1968) <doi:10.2307/2333859>, <doi:10.1080/01621459.1968.11009228>.

r-referenceintervals 1.3.1
Propagated dependencies: r-outliers@0.15 r-mass@7.3-65 r-extremevalues@2.4.1 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=referenceIntervals
Licenses: GPL 3
Build system: r
Synopsis: Reference Intervals
Description:

This is a collection of tools to allow the medical professional to calculate appropriate reference ranges (intervals) with confidence intervals around the limits for diagnostic purposes.

r-rrtable 0.3.0
Propagated dependencies: r-ztable@0.2.3 r-stringr@1.6.0 r-shinywidgets@0.9.0 r-shiny@1.11.1 r-rvg@0.4.1 r-rmarkdown@2.30 r-rlang@1.1.6 r-readr@2.1.6 r-purrr@1.2.0 r-officer@0.7.1 r-moonbook@0.3.1 r-magrittr@2.0.4 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-flextable@0.9.10 r-editdata@0.1.8 r-devemf@4.5-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rrtable
Licenses: GPL 3
Build system: r
Synopsis: Reproducible Research with a Table of R Codes
Description:

Makes documents containing plots and tables from a table of R codes. Can make "HTML", "pdf('LaTex')", "docx('MS Word')" and "pptx('MS Powerpoint')" documents with or without R code. In the package, modularized shiny app codes are provided. These modules are intended for reuse across applications.

r-rfacebookstat 2.13.1
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-stringr@1.6.0 r-purrr@1.2.0 r-pbapply@1.7-4 r-jsonlite@2.0.0 r-httr2@1.2.1 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://selesnow.github.io/rfacebookstat/
Licenses: Expat
Build system: r
Synopsis: Load Data from Facebook API Marketing
Description:

Load data by campaigns, ads, ad sets and insights, ad account and business manager from Facebook Marketing API into R. For more details see official documents by Facebook Marketing API <https://developers.facebook.com/docs/marketing-api>.

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