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

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-rcoins 0.4.0
Propagated dependencies: r-sfheaders@0.4.5 r-sf@1.0-23 r-rlang@1.1.6 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cityriverspaces.github.io/rcoins/
Licenses: FSDG-compatible
Build system: r
Synopsis: Identify Naturally Continuous Lines in a Spatial Network
Description:

This package provides functionality to group lines that form naturally continuous lines in a spatial network. The algorithm implemented is based on the Continuity in Street Networks (COINS) method from Tripathy et al. (2021) <doi:10.1177/2399808320967680>, which identifies continuous "strokes" in the network as the line strings that maximize the angles between consecutive segments.

r-rdian 0.1.1
Propagated dependencies: 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/ironholds/rdian
Licenses: Expat
Build system: r
Synopsis: Client Library for The Guardian
Description:

This package provides a client library for The Guardian (https://www.guardian.com/) and their API, this package allows users to search for Guardian articles and retrieve both the content and metadata.

r-rmaczek 1.6.1
Propagated dependencies: r-seriation@1.5.8 r-rcolorbrewer@1.1-3 r-ga@3.2.4 r-ecp@3.1.6 r-e1071@1.7-16
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RMaCzek
Licenses: GPL 3
Build system: r
Synopsis: Czekanowski's Diagrams
Description:

Allows for production of Czekanowski's Diagrams with clusters. See K. Bartoszek, A. Vasterlund (2020) <doi:10.2478/bile-2020-0008> and K. Bartoszek, Y. Luo (2023) <doi:10.14708/ma.v51i2.7259>. The suggested FuzzyDBScan package (which allows for fuzzy clustering) can be obtained from <https://github.com/henrifnk/FuzzyDBScan/> (or from CRAN's Archive <https://cran.r-project.org/src/contrib/Archive/FuzzyDBScan/>).

r-rbm25 0.0.4
Propagated dependencies: r-r6@2.6.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://davzim.github.io/rbm25/
Licenses: Expat
Build system: r
Synopsis: Light Wrapper Around the 'BM25' 'Rust' Crate for Okapi BM25 Text Search
Description:

BM25 is a ranking function used by search engines to rank matching documents according to their relevance to a user's search query. This package provides a light wrapper around the BM25 rust crate for Okapi BM25 text search. For more information, see Robertson et al. (1994) <https://trec.nist.gov/pubs/trec3/t3_proceedings.html>.

r-rtnmin 2016-7.7
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=Rtnmin
Licenses: GPL 2+
Build system: r
Synopsis: Truncated Newton Function Minimization with Bounds Constraints
Description:

Truncated Newton function minimization with bounds constraints based on the Matlab'/'Octave codes of Stephen Nash.

r-rcd3 0.1.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rcd3
Licenses: GPL 3
Build system: r
Synopsis: Efficient Row-Column Designs for 3 Level Factorial Experiments in 3 Rows
Description:

This package provides functions to construct efficient row-column designs for 3-level factorial experiments in 3 rows. The designs ensure the estimation of all main effects (full efficiency) and two factor interactions in minimum replications. For more details, see Dey, A. and Mukerjee, R. (2012) <doi:10.1016/j.spl.2012.06.014> and Dash, S., Parsad, R., and Gupta, V. K. (2013) <doi:10.1007/s40003-013-0059-5>.

r-rfssa 3.2.0
Propagated dependencies: r-tibble@3.3.0 r-shiny@1.11.1 r-rssa@1.1 r-rspectra@0.16-2 r-rcppeigen@0.3.4.0.2 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-rainbow@3.8 r-plotly@4.11.0 r-markdown@2.0 r-lattice@0.22-7 r-ggplot2@4.0.1 r-ftsa@6.6 r-fda@6.3.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/haghbinh/Rfssa
Licenses: GPL 3
Build system: r
Synopsis: Functional Singular Spectrum Analysis
Description:

This package provides methods and tools for implementing functional singular spectrum analysis and related techniques.

r-rdeps 0.4
Propagated dependencies: r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/frbcesab/rdeps
Licenses: GPL 2+
Build system: r
Synopsis: Identify External Packages Used in a Project
Description:

Screens all .R', .Rmd', and .qmd files to extract the name of packages used in a project. This package detects packages called with library(foo)', require(foo)', foo::bar() and use("foo", "bar") and adds these dependencies in the DESCRIPTION file in the sections Depends, Imports, and Suggests.

r-roxy-shinylive 1.0.0
Propagated dependencies: r-stringr@1.6.0 r-roxygen2@7.3.3 r-lzstring@0.2.0 r-jsonlite@2.0.0 r-glue@1.8.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/insightsengineering/roxy.shinylive/
Licenses: ASL 2.0
Build system: r
Synopsis: 'roxygen2' Extension for 'Shinylive'
Description:

An extension for roxygen2 to embed Shinylive applications in the package documentation.

r-rtlsdeep 0.0.5
Propagated dependencies: r-tensorflow@2.20.0 r-sf@1.0-23 r-rgl@1.3.31 r-reticulate@1.44.1 r-matrixstats@1.5.0 r-lidr@4.2.3 r-keras@2.16.1 r-ggplot2@4.0.1 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/carlos-alberto-silva/rTLsDeep
Licenses: GPL 3
Build system: r
Synopsis: Post-Hurricane Damage Severity Classification from TLS and AI
Description:

Terrestrial laser scanning (TLS) data processing and post-hurricane damage severity classification at the individual tree level using deep Learning. Further details were published in Klauberg et al. (2023) <doi:10.3390/rs15041165>.

r-randomizationinference 1.0.4
Propagated dependencies: r-permute@0.9-8 r-matrixstats@1.5.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=randomizationInference
Licenses: GPL 2
Build system: r
Synopsis: Flexible Randomization-Based Inference
Description:

Allows the user to conduct randomization-based inference for a wide variety of experimental scenarios. The package leverages a potential outcomes framework to output randomization-based p-values and null intervals for test statistics geared toward any estimands of interest, according to the specified null and alternative hypotheses. Users can define custom randomization schemes so that the randomization distributions are accurate for their experimental settings. The package also creates visualizations of randomization distributions and can test multiple test statistics simultaneously.

r-rgnparser 0.3.0
Propagated dependencies: r-tibble@3.3.0 r-sys@3.4.3 r-readr@2.1.6 r-lifecycle@1.0.4 r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://docs.ropensci.org/rgnparser/
Licenses: Expat
Build system: r
Synopsis: Parse Scientific Names
Description:

Parse scientific names using gnparser (<https://github.com/gnames/gnparser>), written in Go. gnparser parses scientific names into their component parts; it utilizes a Parsing Expression Grammar specifically for scientific names.

r-recommenderlabjester 0.2-0
Propagated dependencies: r-recommenderlab@1.0.7
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/mhahsler/recommenderlabJester
Licenses: GPL 2
Build system: r
Synopsis: Jester Dataset for 'recommenderlab'
Description:

This package provides the Jester Dataset for package recommenderlab.

r-recalibratinn 0.3.2
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-rdpack@2.6.4 r-rann@2.6.2 r-purrr@1.2.0 r-magrittr@2.0.4 r-hmisc@5.2-4 r-glue@1.8.0 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://bdm.unb.br/handle/10483/38504
Licenses: Expat
Build system: r
Synopsis: Quantile Recalibration for Regression Models
Description:

Enables the diagnostics and enhancement of regression model calibration.It offers both global and local visualization tools for calibration diagnostics and provides one recalibration method: Torres R, Nott DJ, Sisson SA, Rodrigues T, Reis JG, Rodrigues GS (2024) <doi:10.48550/arXiv.2403.05756>. The method leverages on Probabilistic Integral Transform (PIT) values to both evaluate and perform the calibration of statistical models. For a more detailed description of the package, please refer to the bachelor's thesis available bellow.

r-robustt2 0.1.0
Propagated dependencies: r-shiny@1.11.1 r-rrcov@1.7-7 r-matrix@1.7-4 r-mass@7.3-65 r-ggrepel@0.9.6 r-ggplot2@4.0.1 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/SergioDanielFG/robustT2
Licenses: Expat
Build system: r
Synopsis: Robust Hotelling-Type T² Control Chart Based on the Dual STATIS Approach
Description:

This package implements a robust multivariate control-chart methodology for batch-based industrial processes with multiple correlated variables using the Dual STATIS (Structuration des Tableaux A Trois Indices de la Statistique) framework. A robust compromise covariance matrix is constructed from Phase I batches with the Minimum Covariance Determinant (MCD) estimator, and a Hotelling-type T² statistic is applied for anomaly detection in Phase II. The package includes functions to simulate clean and contaminated batches, to compute both robust and classical Hotelling T² control charts, to visualize results via robust biplots, and to launch an interactive shiny dashboard. An internal dataset (pharma_data) is provided for reproducibility. See Lavit, Escoufier, Sabatier and Traissac (1994) <doi:10.1016/0167-9473(94)90134-1> for the original STATIS methodology, and Rousseeuw and Van Driessen (1999) <doi:10.1080/00401706.1999.10485670> for the MCD estimator.

r-rpiv 1.0.0
Propagated dependencies: r-ranger@0.17.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/cyrillsch/RPIV
Licenses: GPL 3+
Build system: r
Synopsis: Residual Prediction Test for Well-Specification of Instrumental Variable Models
Description:

This package provides a test for the well-specification of the linear instrumental variable model. The test is based on trying to predict the residuals of a two-stage least-squares regression using a random forest. Details can be found in Scheidegger, Londschien and Bühlmann (2025) "A residual prediction test for the well-specification of linear instrumental variable models" <doi:10.48550/arXiv.2506.12771>.

r-rct 1.2
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-pracma@2.4.6 r-mass@7.3-65 r-magrittr@2.0.4 r-glue@1.8.0 r-ggplot2@4.0.1 r-forcats@1.0.1 r-estimatr@1.0.6 r-dplyr@1.1.4 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RCT
Licenses: GPL 2
Build system: r
Synopsis: Assign Treatments, Power Calculations, Balances, Impact Evaluation of Experiments
Description:

Assists in the whole process of designing and evaluating Randomized Control Trials. Robust treatment assignment by strata/blocks, that handles misfits; Power calculations of the minimum detectable treatment effect or minimum populations; Balance tables of T-test of covariates; Balance Regression: (treatment ~ all x variables) with F-test of null model; Impact_evaluation: Impact evaluation regressions. This function gives you the option to include control_vars, fixed effect variables, cluster variables (for robust SE), multiple endogenous variables and multiple heterogeneous variables (to test treatment effect heterogeneity) summary_statistics: Function that creates a summary statistics table with statistics rank observations in n groups: Creates a factor variable with n groups. Each group has a min and max label attach to each category. Athey, Susan, and Guido W. Imbens (2017) <arXiv:1607.00698>.

r-rtkore 1.6.13
Propagated dependencies: r-rcpp@1.1.0 r-inline@0.3.21
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://www.stkpp.org
Licenses: GPL 2+
Build system: r
Synopsis: 'STK++' Core Library Integration to 'R' using 'Rcpp'
Description:

STK++ <http://www.stkpp.org> is a collection of C++ classes for statistics, clustering, linear algebra, arrays (with an Eigen'-like API), regression, dimension reduction, etc. The integration of the library to R is using Rcpp'. The rtkore package includes the header files from the STK++ core library. All files contain only template classes and/or inline functions. STK++ is licensed under the GNU LGPL version 2 or later. rtkore (the stkpp integration into R') is licensed under the GNU GPL version 2 or later. See file LICENSE.note for details.

r-rhymer 1.2.4
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://landesbergn.github.io/rhymer/index.html
Licenses: Expat
Build system: r
Synopsis: Wrapper for the 'Datamuse' API to Find Rhyming and Associated Words
Description:

Wrapper for Datamuse API to find rhyming and other associated words. This includes words of similar meaning, spelling, or other related words. Learn more about the Datamuse API here <https://www.datamuse.com/api/>.

r-rsrd 0.1.8
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-rcpp@1.1.0 r-janitor@2.2.1 r-gplots@3.2.0 r-ggrepel@0.9.6 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://cran.r-project.org/package=rSRD
Licenses: GPL 3
Build system: r
Synopsis: Sum of Ranking Differences Statistical Test
Description:

We provide an implementation for Sum of Ranking Differences (SRD), a novel statistical test introduced by Héberger (2010) <doi:10.1016/j.trac.2009.09.009>. The test allows the comparison of different solutions through a reference by first performing a rank transformation on the input, then calculating and comparing the distances between the solutions and the reference - the latter is measured in the L1 norm. The reference can be an external benchmark (e.g. an established gold standard) or can be aggregated from the data. The calculated distances, called SRD scores, are validated in two ways, see Héberger and Kollár-Hunek (2011) <doi:10.1002/cem.1320>. A randomization test (also called permutation test) compares the SRD scores of the solutions to the SRD scores of randomly generated rankings. The second validation option is cross-validation that checks whether the rankings generated from the solutions come from the same distribution or not. For a detailed analysis about the cross-validation process see Sziklai, Baranyi and Héberger (2021) <doi:10.48550/arXiv.2105.11939>. The package offers a wide array of features related to SRD including the computation of the SRD scores, validation options, input preprocessing and plotting tools.

r-rdatapipeline 0.60.0
Propagated dependencies: r-yaml@2.3.10 r-usethis@3.2.1 r-semver@0.2.0 r-rhdf5@2.54.0 r-r6@2.6.1 r-openssl@2.3.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-git2r@0.36.2 r-dplyr@1.1.4 r-configr@0.3.5 r-cli@3.6.5 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://www.fairdatapipeline.org/rDataPipeline/
Licenses: GPL 3+
Build system: r
Synopsis: Functions to Interact with the 'FAIR Data Pipeline'
Description:

R implementation of the FAIR Data Pipeline API'. The FAIR Data Pipeline is intended to enable tracking of provenance of FAIR (findable, accessible and interoperable) data used in epidemiological modelling.

r-rwarrior 0.4.1
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-r6@2.6.1 r-glue@1.8.0 r-dplyr@1.1.4 r-cli@3.6.5 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rwarrior
Licenses: Expat
Build system: r
Synopsis: R Warrior - An AI Programming Game
Description:

This package provides a port of Ruby Warrior. Teaches R programming in a fun and interactive way.

r-restez 2.1.5
Propagated dependencies: r-stringi@1.8.7 r-rentrez@1.2.4 r-fs@1.6.6 r-duckdb@1.4.2 r-dbi@1.2.3 r-curl@7.0.0 r-crayon@1.5.3 r-cli@3.6.5 r-assertthat@0.2.1 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/ropensci/restez
Licenses: Expat
Build system: r
Synopsis: Create and Query a Local Copy of 'GenBank' in R
Description:

Download large sections of GenBank <https://www.ncbi.nlm.nih.gov/genbank/> and generate a local SQL-based database. A user can then query this database using restez functions or through rentrez <https://CRAN.R-project.org/package=rentrez> wrappers.

r-rassta 1.0.6
Propagated dependencies: r-terra@1.8-86 r-stringi@1.8.7 r-stringdist@0.9.15 r-shiny@1.11.1 r-scales@1.4.0 r-rlang@1.1.6 r-plotly@4.11.0 r-kohonen@3.0.12 r-kernsmooth@2.23-26 r-histogram@0.0-25 r-ggplot2@4.0.1 r-ggally@2.4.0 r-foreach@1.5.2 r-dt@0.34.0 r-dplyr@1.1.4 r-data-table@1.17.8 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://bafuentes.github.io/rassta/
Licenses: AGPL 3+
Build system: r
Synopsis: Raster-Based Spatial Stratification Algorithms
Description:

Algorithms for the spatial stratification of landscapes, sampling and modeling of spatially-varying phenomena. These algorithms offer a simple framework for the stratification of geographic space based on raster layers representing landscape factors and/or factor scales. The stratification process follows a hierarchical approach, which is based on first level units (i.e., classification units) and second-level units (i.e., stratification units). Nonparametric techniques allow to measure the correspondence between the geographic space and the landscape configuration represented by the units. These correspondence metrics are useful to define sampling schemes and to model the spatial variability of environmental phenomena. The theoretical background of the algorithms and code examples are presented in Fuentes et al. (2022). <doi:10.32614/RJ-2022-036>.

Page: 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447448449450451452453454455456457458459460461462463464465466467468469470471472473474475476477478479480481482483484485486487488489490491492493494495496497498499500501502503504505506507508509510511512513514515516517518519520521522523524525526527528529530531532533534535536537538539540541542543544545546547548549550551552553554555556557558559560561562563564565566567568569570571572573574575576577578579580581582583584585586587588589590591592593594595596597598599600601602603604605606607608609610611612613614615616617618619620621622623624625626627628629630631632633634635636637638639640641642643644645646647648649650651652653654655656657658659660661662663664665666667668669670671672673674675676677678679680681682683684685686687688689690691692693694695696697698699700701702703704705706707708709710711712713714715716717718719720721722723724725726727728729730731732733734735736737738739740741742743744745746747748749750751752753754755756757758759760761762763764765766767768769770771772773774775776777778779780781782783784785786787788789790791792793794795796797798799800801802803804805806807808809810811812813814815816817818819820821822823824825826827828829830831832833834835836837838839840841842843844845846847848849850851852853854855856857858859860861862863864865866867868869870871872873874875876877878879880881882883884885886887888889890891892893894895
Total results: 21457