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

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-rocsurf 0.1.1
Propagated dependencies: r-pracma@2.4.6 r-plotly@4.11.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/ErtanSU/ROCsurf
Licenses: GPL 3
Build system: r
Synopsis: ROC Surface Analysis Under the Three-Class Problems
Description:

Receiver Operating Characteristic (ROC) analysis is performed assuming samples are from the proposed distributions. In addition, the volume under the ROC surface and true positive fractions values are evaluated by ROC surface analysis.

r-rsentiment 2.2.2
Propagated dependencies: r-stringr@1.6.0 r-plyr@1.8.9 r-opennlp@0.2-7 r-nlp@0.3-2
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RSentiment
Licenses: GPL 2
Build system: r
Synopsis: Analyse Sentiment of English Sentences
Description:

Analyses sentiment of a sentence in English and assigns score to it. It can classify sentences to the following categories of sentiments:- Positive, Negative, very Positive, very negative, Neutral. For a vector of sentences, it counts the number of sentences in each category of sentiment.In calculating the score, negation and various degrees of adjectives are taken into consideration. It deals only with English sentences.

r-rnetlogo 1.0-4
Dependencies: openjdk@25
Propagated dependencies: r-rjava@1.0-11 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://rnetlogo.r-forge.r-project.org/
Licenses: GPL 2
Build system: r
Synopsis: Provides an Interface to the Agent-Based Modelling Platform 'NetLogo'
Description:

Interface to use and access Wilensky's NetLogo (Wilensky 1999) from R using either headless (no GUI) or interactive GUI mode. Provides functions to load models, execute commands, and get values from reporters. Mostly analogous to the NetLogo Mathematica Link <https://github.com/NetLogo/Mathematica-Link>.

r-robvis 0.3.0
Propagated dependencies: r-tidyr@1.3.1 r-scales@1.4.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/mcguinlu/robvis
Licenses: Expat
Build system: r
Synopsis: Visualize the Results of Risk-of-Bias (ROB) Assessments
Description:

Helps users in quickly visualizing risk-of-bias assessments performed as part of a systematic review. It allows users to create weighted bar-plots of the distribution of risk-of-bias judgments within each bias domain, in addition to traffic-light plots of the specific domain-level judgments for each study. The resulting figures are of publication quality and are formatted according the risk-of-bias assessment tool use to perform the assessments. Currently, the supported tools are ROB2.0 (for randomized controlled trials; Sterne et al (2019) <doi:10.1136/bmj.l4898>), ROBINS-I (for non-randomised studies of interventions; Sterne et al (2016) <doi:10.1136/bmj.i4919>), and QUADAS-2 (for diagnostic accuracy studies; Whiting et al (2011) <doi:10.7326/0003-4819-155-8-201110180-00009>).

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-rlcv 1.0.0
Propagated dependencies: r-statmod@1.5.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://sites.google.com/tamu.edu/ximingwu/
Licenses: GPL 3+
Build system: r
Synopsis: Robust Likelihood Cross Validation Bandwidth Selection
Description:

Robust likelihood cross validation bandwidth for uni- and multi-variate kernel densities. It is robust against fat-tailed distributions and/or outliers. Based on "Robust Likelihood Cross-Validation for Kernel Density Estimation," Wu (2019) <doi:10.1080/07350015.2018.1424633>.

r-robma 3.6.1
Propagated dependencies: r-scales@1.4.0 r-runjags@2.2.2-5 r-rlang@1.1.6 r-rjags@4-17 r-rdpack@2.6.4 r-mvtnorm@1.3-3 r-ggplot2@4.0.1 r-coda@0.19-4.1 r-bayestools@0.2.23
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://fbartos.github.io/RoBMA/
Licenses: GPL 3
Build system: r
Synopsis: Robust Bayesian Meta-Analyses
Description:

This package provides a framework for estimating ensembles of meta-analytic, meta-regression, and multilevel models (assuming either presence or absence of the effect, heterogeneity, publication bias, and moderators). The RoBMA framework uses Bayesian model-averaging to combine the competing meta-analytic models into a model ensemble, weights the posterior parameter distributions based on posterior model probabilities and uses Bayes factors to test for the presence or absence of the individual components (e.g., effect vs. no effect; Bartoš et al., 2022, <doi:10.1002/jrsm.1594>; Maier, Bartoš & Wagenmakers, 2022, <doi:10.1037/met0000405>; Bartoš et al., 2025, <doi:10.1037/met0000737>). Users can define a wide range of prior distributions for the effect size, heterogeneity, publication bias (including selection models and PET-PEESE), and moderator components. The package provides convenient functions for summary, visualizations, and fit diagnostics.

r-redditextractor 3.0.9
Propagated dependencies: r-rjsonio@2.0.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RedditExtractoR
Licenses: GPL 3
Build system: r
Synopsis: Reddit Data Extraction Toolkit
Description:

This package provides a collection of tools for extracting structured data from <https://www.reddit.com/>.

r-repeatedhighdim 2.5.0
Propagated dependencies: r-seuratobject@5.2.0 r-seurat@5.3.1 r-scales@1.4.0 r-rlang@1.1.6 r-rgl@1.3.31 r-rcolorbrewer@1.1-3 r-progress@1.2.3 r-patchwork@1.3.2 r-nlme@3.1-168 r-netmeta@3.3-1 r-mvtnorm@1.3-3 r-mass@7.3-65 r-ggplot2@4.0.1 r-geometry@0.5.2 r-fnn@1.1.4.1 r-dplyr@1.1.4 r-ddalpha@1.3.16 r-complexheatmap@2.26.0 r-circlize@0.4.16 r-alphahull@2.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://software.klausjung-lab.de
Licenses: GPL 3+
Build system: r
Synopsis: Methods for High-Dimensional Repeated Measures Data
Description:

This package provides a toolkit for the analysis of high-dimensional repeated measurements, providing functions for outlier detection, differential expression analysis, gene-set tests, and binary random data generation.

r-rvkstat 3.2.0
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-lgr@0.5.0 r-jsonlite@2.0.0 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/rvkstat/
Licenses: GPL 2
Build system: r
Synopsis: R Interface to API 'vk.com'
Description:

Load data from vk.com api about your communiti users and views, ads performance, post on user wall and etc. For more information see API Documentation <https://vk.com/dev/first_guide>.

r-refuge 0.3.3
Propagated dependencies: r-tibble@3.3.0 r-jsonlite@2.0.0 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://docs.evanodell.com/refuge
Licenses: Expat
Build system: r
Synopsis: Locate Trans and Intersex-Friendly Toilets
Description:

Access the Refuge API, a web-application for locating trans and intersex-friendly restrooms, including unisex and accessible restrooms. Includes data on the location of restrooms, along with directions, comments, user ratings and amenities. Coverage is global, but data is most comprehensive in the United States. See <https://www.refugerestrooms.org/api/docs/> for full API documentation.

r-rvisidata 1.0.0
Dependencies: visidata@3.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/paulklemm/rvisidata
Licenses: Expat
Build system: r
Synopsis: Wrapper for 'Visidata', an Interactive Multitool for Tabular Data
Description:

Open any data frame with visidata', a terminal-based spreadsheet application <https://www.visidata.org>.

r-rprotobuf 0.4.26
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/rprotobuf
Licenses: GPL 2+
Build system: r
Synopsis: R Interface to the 'Protocol Buffers' 'API' (Version 2 or 3)
Description:

Protocol Buffers are a way of encoding structured data in an efficient yet extensible format. Google uses Protocol Buffers for almost all of its internal RPC protocols and file formats. Additional documentation is available in two included vignettes one of which corresponds to our JSS paper (2016, <doi:10.18637/jss.v071.i02>. A sufficiently recent version of Protocol Buffers library is required; currently version 3.3.0 from 2017 is the tested minimum.

r-rmediation 1.3.0
Propagated dependencies: r-openmx@2.22.10 r-modelr@0.1.11 r-mass@7.3-65 r-lavaan@0.6-20 r-generics@0.1.4 r-e1071@1.7-16 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://data-wise.github.io/rmediation/
Licenses: GPL 3+ FSDG-compatible
Build system: r
Synopsis: Mediation Analysis Confidence Intervals
Description:

Computes confidence intervals for nonlinear functions of model parameters (e.g., product of k coefficients) in single-level and multilevel structural equation models. Methods include the distribution of the product, Monte Carlo simulation, and bootstrap methods. It also performs the Model-Based Constrained Optimization (MBCO) procedure for hypothesis testing of indirect effects. References: Tofighi, D., and MacKinnon, D. P. (2011). RMediation: An R package for mediation analysis confidence intervals. Behavior Research Methods, 43, 692-700. <doi:10.3758/s13428-011-0076-x>; Tofighi, D., and Kelley, K. (2020). Improved inference in mediation analysis: Introducing the model-based constrained optimization procedure. Psychological Methods, 25(4), 496-515. <doi:10.1037/met0000259>; Tofighi, D. (2020). Bootstrap Model-Based Constrained Optimization Tests of Indirect Effects. Frontiers in Psychology, 10, 2989. <doi:10.3389/fpsyg.2019.02989>.

r-relsim 1.0.0
Propagated dependencies: r-xtable@1.8-4 r-xml2@1.5.0 r-stringr@1.6.0 r-rvest@1.0.5 r-rcpp@1.1.0 r-multicool@1.0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=relSim
Licenses: GPL 2+
Build system: r
Synopsis: Relative Simulator
Description:

This package provides a set of tools to explore the behaviour statistics used for forensic DNA interpretation when close relatives are involved. The package also offers some useful tools for exploring other forensic DNA situations.

r-rsqlparser 1.5
Propagated dependencies: r-stringr@1.6.0 r-stringi@1.8.7
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RSqlParser
Licenses: GPL 2
Build system: r
Synopsis: Parse 'SQL' Statements
Description:

Parser for SQL statements. Currently, it supports parsing of only SELECT statements.

r-rgeopat2 0.4.0
Propagated dependencies: r-stringr@1.6.0 r-sf@1.0-23 r-readr@2.1.6
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/Nowosad/rgeopat2
Licenses: Expat
Build system: r
Synopsis: Additional Functions for 'GeoPAT' 2
Description:

Supports analysis of spatial data processed with the GeoPAT 2 software <https://github.com/Nowosad/geopat2>. Available features include creation of a grid based on the GeoPAT 2 grid header file and reading a GeoPAT 2 text outputs.

r-rolluptree 0.4.1
Propagated dependencies: r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://jsjuni.github.io/rollupTree/
Licenses: Expat
Build system: r
Synopsis: Perform Recursive Computations
Description:

Mass rollup for a Bill of Materials is an example of a class of computations in which elements are arranged in a tree structure and some property of each element is a computed function of the corresponding values of its child elements. Leaf elements, i.e., those with no children, have values assigned. In many cases, the combining function is simple arithmetic sum; in other cases (e.g., mass properties), the combiner may involve other information such as the geometric relationship between parent and child, or statistical relations such as root-sum-of-squares (RSS). This package implements a general function for such problems. It is adapted to specific recursive computations by functional programming techniques; the caller passes a function as the update parameter to rollup() (or, at a lower level, passes functions as the get, set, combine, and override parameters to update_prop()) at runtime to specify the desired operations. The implementation relies on graph-theoretic algorithms from the igraph package of Csárdi, et al. (2006 <doi:10.5281/zenodo.7682609>).

r-rcppexamples 0.1.10
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/rcppexamples
Licenses: GPL 2+
Build system: r
Synopsis: Examples using 'Rcpp' to Interface R and C++
Description:

Examples for Seamless R and C++ integration The Rcpp package contains a C++ library that facilitates the integration of R and C++ in various ways. This package provides some usage examples. Note that the documentation in this package currently does not cover all the features in the package. The site <https://gallery.rcpp.org> regroups a large number of examples for Rcpp'.

r-rzmq 0.9.15
Dependencies: zlib@1.3.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rzmq
Licenses: GPL 3
Build system: r
Synopsis: R Bindings for 'ZeroMQ'
Description:

Interface to the ZeroMQ lightweight messaging kernel (see <https://zeromq.org/> for more information).

r-rscat 1.1.3
Propagated dependencies: r-shinyjs@2.1.0 r-shinycssloaders@1.1.0 r-shiny@1.11.1 r-rjava@1.0-11 r-metrics@0.1.4 r-gridextra@2.3 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=RSCAT
Licenses: FSDG-compatible
Build system: r
Synopsis: Shadow-Test Approach to Computerized Adaptive Testing
Description:

As an advanced approach to computerized adaptive testing (CAT), shadow testing (van der Linden(2005) <doi:10.1007/0-387-29054-0>) dynamically assembles entire shadow tests as a part of selecting items throughout the testing process. Selecting items from shadow tests guarantees the compliance of all content constraints defined by the blueprint. RSCAT is an R package for the shadow-test approach to CAT. The objective of RSCAT is twofold: 1) Enhancing the effectiveness of shadow-test CAT simulation; 2) Contributing to the academic and scientific community for CAT research. RSCAT is currently designed for dichotomous items based on the three-parameter logistic (3PL) model.

r-readdim 0.2.11
Propagated dependencies: r-stringr@1.6.0 r-raster@3.6-32
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=ReadDIM
Licenses: GPL 3
Build system: r
Synopsis: Read ESA SNAP Processed Raster Format in R
Description:

It helps you to read (.dim) images with CRS directly into R programming. One can import both Sentinel 1 and 2 images or any processed data with this software.

r-refitgaps 0.1.2
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 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=refitgaps
Licenses: Expat
Build system: r
Synopsis: Reduce the Number of Holes in the School Timetable
Description:

Reallocating the respective lessons by hours (respecting the constraints induced by the existence of coupled lessons) so that the total number of gaps is as small as possible.

r-reservoirnet 0.3.0
Dependencies: python@3.11.14
Propagated dependencies: r-testthat@3.3.0 r-rlang@1.1.6 r-reticulate@1.44.1 r-magrittr@2.0.4 r-janitor@2.2.1 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/reservoirpy/reservoirR
Licenses: GPL 3+
Build system: r
Synopsis: Reservoir Computing and Echo State Networks
Description:

This package provides a simple user-friendly library based on the python module reservoirpy'. It provides a flexible interface to implement efficient Reservoir Computing (RC) architectures with a particular focus on Echo State Networks (ESN). Some of its features are: offline and online training, parallel implementation, sparse matrix computation, fast spectral initialization, advanced learning rules (e.g. Intrinsic Plasticity) etc. It also makes possible to easily create complex architectures with multiple reservoirs (e.g. deep reservoirs), readouts, and complex feedback loops. Moreover, graphical tools are included to easily explore hyperparameters. Finally, it includes several tutorials exploring time series forecasting, classification and hyperparameter tuning. For more information about reservoirpy', please see Trouvain et al. (2020) <doi:10.1007/978-3-030-61616-8_40>. This package was developed in the framework of the University of Bordeauxâ s IdEx "Investments for the Future" program / RRI PHDS.

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