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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-r4pde 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-survival@3.8-3 r-rlang@1.1.6 r-purrr@1.2.0 r-progress@1.2.3 r-nasapower@4.2.5 r-lubridate@1.9.4 r-interval@1.1-1.0 r-igraph@2.2.1 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-cowplot@1.2.0 r-car@3.1-3 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/emdelponte/r4pde
Licenses: Expat
Build system: r
Synopsis: Companion to R for Plant Disease Epidemiology Book
Description:

Datasets and utility functions to support the book "R for Plant Disease Epidemiology" (R4PDE). It includes functions for quantifying disease, assessing spatial patterns, and modeling plant disease epidemics based on weather predictors. These tools are intended for teaching and research in plant disease epidemiology. Several functions are based on classical and contemporary methods, including those discussed in Laurence V. Madden, Gareth Hughes, and Frank van den Bosch (2007) <doi:10.1094/9780890545058>.

r-r2social 1.2.1
Propagated dependencies: r-shiny@1.11.1 r-quickcode@1.0.8 r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://r2social.obi.obianom.com
Licenses: Expat
Build system: r
Synopsis: Seamless Integration of Sharing and Connect Buttons in Markdown and Apps
Description:

Implementation of JQuery <https://jquery.com> and CSS styles to allow easy incorporation of various social media elements on a page. The elements include addition of share buttons or connect with us buttons or hyperlink buttons to Shiny applications or dashboards and Rmarkdown documents.Sharing capability on social media platforms including Facebook <https://www.facebook.com>, Linkedin <https://www.linkedin.com>, X/Twitter <https://x.com>, Tumblr <https://www.tumblr.com>, Pinterest <https://www.pinterest.com>, Whatsapp <https://www.whatsapp.com>, Reddit <https://www.reddit.com>, Baidu <https://www.baidu.com>, Blogger <https://www.blogger.com>, Weibo <https://www.weibo.com>, Instagram <https://www.instagram.com>, Telegram <https://www.telegram.me>, Youtube <https://www.youtube.com>.

r-rfm 0.3.0
Propagated dependencies: r-xplorerr@0.2.0 r-treemapify@2.6.0 r-scales@1.4.0 r-rlang@1.1.6 r-rcolorbrewer@1.1-3 r-magrittr@2.0.4 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/rsquaredacademy/rfm
Licenses: Expat
Build system: r
Synopsis: Recency, Frequency and Monetary Value Analysis
Description:

This package provides tools for RFM (recency, frequency and monetary value) analysis. Generate RFM score from both transaction and customer level data. Visualize the relationship between recency, frequency and monetary value using heatmap, histograms, bar charts and scatter plots. Includes a shiny app for interactive segmentation. References: i. Blattberg R.C., Kim BD., Neslin S.A (2008) <doi:10.1007/978-0-387-72579-6_12>.

r-rwnn 0.4
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-randtoolbox@2.0.5 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=RWNN
Licenses: Expat
Build system: r
Synopsis: Random Weight Neural Networks
Description:

Creation, estimation, and prediction of random weight neural networks (RWNN), Schmidt et al. (1992) <doi:10.1109/ICPR.1992.201708>, including popular variants like extreme learning machines, Huang et al. (2006) <doi:10.1016/j.neucom.2005.12.126>, sparse RWNN, Zhang et al. (2019) <doi:10.1016/j.neunet.2019.01.007>, and deep RWNN, Henrà quez et al. (2018) <doi:10.1109/IJCNN.2018.8489703>. It further allows for the creation of ensemble RWNNs like bagging RWNN, Sui et al. (2021) <doi:10.1109/ECCE47101.2021.9595113>, boosting RWNN, stacking RWNN, and ensemble deep RWNN, Shi et al. (2021) <doi:10.1016/j.patcog.2021.107978>.

r-r-alpha-home 2.0.2
Propagated dependencies: r-writexl@1.5.4 r-tibble@3.3.0 r-rstudioapi@0.17.1 r-readxl@1.4.5 r-r6@2.6.1 r-r-utils@2.13.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-diffobj@0.3.6 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/R-alpha-act/R.AlphA.Home
Licenses: GPL 3
Build system: r
Synopsis: Feel at Home using R, Thanks to Shortcuts Functions Making it Simple
Description:

This package provides a collection of personal functions designed to simplify and streamline common R programming tasks. This package provides reusable tools and shortcuts for frequently used calculations and workflows.

r-rmpsh 1.1.1
Propagated dependencies: 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=RMPSH
Licenses: GPL 3
Build system: r
Synopsis: Recursive Modified Pattern Search on Hyper-Rectangle
Description:

Optimization of any Black-Box/Non-Convex Function on Hyper-Rectangular Parameter Space. It uses a Variation of Pattern Search Technique. Described in the paper : Das (2016) <arXiv:1604.08616> .

r-rwhois 1.0.16
Propagated dependencies: r-stringr@1.6.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=Rwhois
Licenses: Expat
Build system: r
Synopsis: WHOIS Server Querying
Description:

Queries data from WHOIS servers.

r-represtools 0.1.3
Propagated dependencies: r-whisker@0.4.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://pirategrunt.com/represtools/
Licenses: GPL 3+
Build system: r
Synopsis: Reproducible Research Tools
Description:

Reproducible research tools automates the creation of an analysis directory structure and work flow. There are R markdown skeletons which encapsulate typical analytic work flow steps. Functions will create appropriate modules which may pass data from one step to another.

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-rankrate 1.2.1
Propagated dependencies: r-isotone@1.1-2 r-gtools@3.9.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://pearce790.github.io/rankrate/
Licenses: GPL 3
Build system: r
Synopsis: Joint Statistical Models for Preference Learning with Rankings and Ratings
Description:

Statistical tools for the Mallows-Binomial model, the first joint statistical model for preference learning for rankings and ratings. This project was supported by the National Science Foundation under Grant No. 2019901.

r-releaser 1.0.0
Propagated dependencies: r-gh@1.5.0 r-desc@1.4.3 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/TanguyBarthelemy/releaser
Licenses: Expat
Build system: r
Synopsis: Help with Preparing a New Version of an R Package
Description:

Helps to prepare a release. Before releasing an R package it is important to update the DESCRIPTION file and the changelog. This package prepares these files and also updates the versions according to the branches. It relies heavily on the desc packages.

r-rkafkajars 1.2
Propagated dependencies: r-runit@0.4.33.1 r-rjava@1.0-11
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rkafkajars
Licenses: ASL 2.0 FSDG-compatible
Build system: r
Synopsis: External Jars Required for Package 'rkafka'
Description:

The rkafkajars package collects all the external jars required for the rkafka package.

r-roi-plugin-quadprog 1.0-1
Propagated dependencies: r-slam@0.1-55 r-roi@1.0-1 r-quadprog@1.5-8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://roi.r-forge.r-project.org/
Licenses: GPL 3
Build system: r
Synopsis: 'quadprog' Plug-in for the 'R' Optimization Infrastructure
Description:

Enhances the R Optimization Infrastructure ('ROI') package by registering the quadprog solver. It allows for solving quadratic programming (QP) problems.

r-rraven 1.0.16
Propagated dependencies: r-warbler@1.1.37 r-tuner@1.4.7 r-seewave@2.2.4 r-pbapply@1.7-4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/maRce10/Rraven
Licenses: GPL 2+
Build system: r
Synopsis: Connecting R and 'Raven' Sound Analysis Software
Description:

This package provides a tool to exchange data between R and Raven sound analysis software (Cornell Lab of Ornithology). Functions work on data formats compatible with the R package warbleR'.

r-redcapr 1.6.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-readr@2.1.6 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-dplyr@1.1.4 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://ouhscbbmc.github.io/REDCapR/
Licenses: Expat
Build system: r
Synopsis: Interaction Between R and REDCap
Description:

Encapsulates functions to streamline calls from R to the REDCap API. REDCap (Research Electronic Data CAPture) is a web application for building and managing online surveys and databases developed at Vanderbilt University. The Application Programming Interface (API) offers an avenue to access and modify data programmatically, improving the capacity for literate and reproducible programming.

r-roger 1.5-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://roger-project.gitlab.io
Licenses: GPL 2+
Build system: r
Synopsis: Automated Grading of R Scripts
Description:

This package provides tools for grading the coding style and documentation of R scripts. This is the R component of Roger the Omni Grader, an automated grading system for computer programming projects based on Unix shell scripts; see <https://gitlab.com/roger-project>. The package also provides an R interface to the shell scripts. Inspired by the lintr package.

r-rstrava 1.3.4
Propagated dependencies: r-xml2@1.5.0 r-xml@3.99-0.20 r-tidyterra@1.0.0 r-tidyr@1.3.1 r-tibble@3.3.0 r-rvest@1.0.5 r-purrr@1.2.0 r-maptiles@0.11.0 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-googleway@2.7.8 r-ggspatial@1.1.10 r-ggplot2@4.0.1 r-geosphere@1.5-20 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=rStrava
Licenses: CC0
Build system: r
Synopsis: Access the 'Strava' API
Description:

This package provides functions to access data from the Strava v3 API <https://developers.strava.com/>.

r-rbch 0.1-2
Propagated dependencies: r-rjson@0.2.23 r-openssl@2.3.4 r-httr@1.4.7 r-gmp@0.7-5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/Rucknium/rbch
Licenses: GPL 3
Build system: r
Synopsis: Extraction and Analysis of Data from the Bitcoin Cash (BCH) Blockchain
Description:

Issues RPC-JSON calls to bitcoind', the daemon of Bitcoin Cash (BCH), to extract transaction data from the blockchain. BCH is a fork of Bitcoin that permits a greater number of transactions per second. A BCH daemon is available under an MIT license from the Bitcoin Unlimited website <https://www.bitcoinunlimited.info>.

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-rpaex 1.0.5
Propagated dependencies: r-terra@1.8-86 r-agricolae@1.3-7
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rPAex
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Automatic Detection of Experimental Unit in Precision Agriculture
Description:

This package provides a part of precision agriculture is linked to the spectral image obtained from the cameras. With the image information of the agricultural experiment, the included functions facilitate the collection of spectral data associated with the experimental units. Some designs generated in R are linked to the images, which allows the use of the information of each pixel of the image in the experimental unit and the treatment. Tables and images are generated for the analysis of the precision agriculture experiment during the entire vegetative period of the crop.

r-refugees 2025.06.0
Propagated dependencies: r-tibble@3.3.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://populationstatistics.github.io/refugees/
Licenses: FSDG-compatible
Build system: r
Synopsis: UNHCR Refugee Population Statistics Database
Description:

The Refugee Population Statistics Database published by The Office of The United Nations High Commissioner for Refugees (UNHCR) contains information about forcibly displaced populations spanning more than 70 years of statistical activities. It covers displaced populations such as refugees, asylum-seekers and internally displaced people, including their demographics. Stateless people are also included, most of who have never been displaced. The database also reflects the different types of solutions for displaced populations such as repatriation or resettlement. More information on the data and methodology can be found on the UNHCR Refugee Data Finder <https://www.unhcr.org/refugee-statistics/>.

r-ranks 1.1
Propagated dependencies: r-rbgl@1.86.0 r-perfmeas@1.2.5 r-netpreproc@1.2 r-limma@3.66.0 r-graph@1.88.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RANKS
Licenses: GPL 2+
Build system: r
Synopsis: Ranking of Nodes with Kernelized Score Functions
Description:

Implementation of Kernelized score functions and other semi-supervised learning algorithms for node label ranking to analyze biomolecular networks. RANKS can be easily applied to a large set of different relevant problems in computational biology, ranging from automatic protein function prediction, to gene disease prioritization and drug repositioning, and more in general to any bioinformatics problem that can be formalized as a node label ranking problem in a graph. The modular nature of the implementation allows to experiment with different score functions and kernels and to easily compare the results with baseline network-based methods such as label propagation and random walk algorithms, as well as to enlarge the algorithmic scheme by adding novel user-defined score functions and kernels.

r-rmonize 2.0.0
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-rlang@1.1.6 r-madshapr@2.0.0 r-haven@2.5.5 r-fs@1.6.6 r-fabr@2.1.1 r-dplyr@1.1.4 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/maelstrom-research/Rmonize/
Licenses: GPL 3
Build system: r
Synopsis: Tools for Data Harmonization
Description:

Integrated tools to support rigorous and well documented data harmonization based on Maelstrom Research guidelines. The package includes functions to assess and prepare input elements, apply specified processing rules to generate harmonized datasets, validate data processing and identify processing errors, and document and summarize harmonized outputs. The harmonization process is defined and structured by two key user-generated documents: the DataSchema (specifying the list of harmonized variables to generate across datasets) and the Data Processing Elements (specifying the input elements and processing algorithms to generate harmonized variables in DataSchema formats). The package was developed to address key challenges of retrospective data harmonization in epidemiology (as described in Fortier I and al. (2017) <doi:10.1093/ije/dyw075>) but can be used for any data harmonization initiative.

r-rsda 3.2.5
Propagated dependencies: r-xtable@1.8-4 r-xml@3.99-0.20 r-vctrs@0.6.5 r-umap@0.2.10.0 r-tidyselect@1.2.1 r-tibble@3.3.0 r-stringr@1.6.0 r-sqldf@0.4-11 r-scales@1.4.0 r-rpart@4.1.24 r-rlang@1.1.6 r-rjsonio@2.0.0 r-reshape@0.8.10 r-randomforest@4.7-1.2 r-randomcolor@1.1.0.1 r-purrr@1.2.0 r-princurve@2.1.6 r-plotly@4.11.0 r-nloptr@2.2.1 r-neuralnet@1.44.2 r-magrittr@2.0.4 r-kknn@1.4.1 r-glmnet@4.1-10 r-ggrepel@0.9.6 r-ggpolypath@0.4.0 r-ggplot2@4.0.1 r-gbm@2.2.2 r-forcats@1.0.1 r-factominer@2.12 r-e1071@1.7-16 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://oldemarrodriguez.com/
Licenses: GPL 2+
Build system: r
Synopsis: R to Symbolic Data Analysis
Description:

Symbolic Data Analysis (SDA) was proposed by professor Edwin Diday in 1987, the main purpose of SDA is to substitute the set of rows (cases) in the data table for a concept (second order statistical unit). This package implements, to the symbolic case, certain techniques of automatic classification, as well as some linear models.

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