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

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-radanalysis 1.0.1
Propagated dependencies: r-sfsmisc@1.1-23 r-scales@1.4.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RADanalysis
Licenses: GPL 3
Build system: r
Synopsis: Normalization and Analysis of Rank Abundance Distributions
Description:

Implementation of the MaxRank normalization method, which enables standardization of Rank Abundance Distributions (RADs) to a specified number of ranks. Rank abundance distributions are widely used in biology and ecology to describe species abundances, and are mathematically equivalent to complementary cumulative distribution functions (CCDFs) used in physics, linguistics, sociology, and other fields. The method is described in Saeedghalati et al. (2017) <doi:10.1371/journal.pcbi.1005362>.

r-raymolecule 0.5.3
Propagated dependencies: r-rayvertex@0.12.0 r-rayrender@0.38.10 r-periodictable@0.1.2 r-magrittr@2.0.4 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://www.raymolecule.com/
Licenses: GPL 3
Build system: r
Synopsis: Parse and Render Molecular Structures in 3D
Description:

Downloads and parses SDF (Structural Description Format) and PDB (Protein Database) files for 3D rendering.

r-reps 1.0.0
Propagated dependencies: r-stringr@1.6.0 r-lmtest@0.9-40 r-kfas@1.6.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/vivekag7/REPS
Licenses: FSDG-compatible
Build system: r
Synopsis: Hedonic and Multilateral Index Methods for Real Estate Price Statistics
Description:

Compute price indices using various Hedonic and multilateral methods, including Laspeyres, Paasche, Fisher, and HMTS (Hedonic Multilateral Time series re-estimation with splicing). The central function calculate_price_index() offers a unified interface for running these methods on structured datasets. This package is designed to support index construction workflows across a wide range of domains â including but not limited to real estate â where quality-adjusted price comparisons over time are essential. The development of this package was funded by Eurostat and Statistics Netherlands (CBS), and carried out by Statistics Netherlands. The HMTS method implemented here is described in Ishaak, Ouwehand and Remøy (2024) <doi:10.1177/0282423X241246617>. For broader methodological context, see Eurostat (2013, ISBN:978-92-79-25984-5, <doi:10.2785/34007>).

r-readmit 0.0.1
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-readxl@1.4.5 r-readr@2.1.6 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://centralstatz.github.io/readmit/
Licenses: Expat
Build system: r
Synopsis: Tools for Working with Hospital Readmissions Data
Description:

This package contains tools for working with and analyzing hospital readmissions data. The package provides utilities for components of the Hospital Readmissions Reduction Program (HRRP), including program timeline functions, Hospital-Specific Report (HSR) helpers, and general importing tools for the Provider Data Catalog (PDC).

r-roahd 1.4.3
Propagated dependencies: r-scales@1.4.0 r-robustbase@0.99-6 r-plotly@4.11.0 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://astamm.github.io/roahd/
Licenses: GPL 3
Build system: r
Synopsis: Robust Analysis of High Dimensional Data
Description:

This package provides a collection of methods for the robust analysis of univariate and multivariate functional data, possibly in high-dimensional cases, and hence with attention to computational efficiency and simplicity of use. See the R Journal publication of Ieva et al. (2019) <doi:10.32614/RJ-2019-032> for an in-depth presentation of the roahd package. See Aleman-Gomez et al. (2021) <arXiv:2103.08874> for details about the concept of depthgram.

r-reproducible 3.0.0
Propagated dependencies: r-lobstr@1.1.3 r-fs@1.6.6 r-fpcompare@0.2.4 r-filelock@1.0.3 r-digest@0.6.39 r-data-table@1.17.8 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://reproducible.predictiveecology.org
Licenses: GPL 3
Build system: r
Synopsis: Enhance Reproducibility of R Code
Description:

This package provides a collection of high-level, machine- and OS-independent tools for making reproducible and reusable content in R. The two workhorse functions are Cache() and prepInputs()'. Cache() allows for nested caching, is robust to environments and objects with environments (like functions), and deals with some classes of file-backed R objects e.g., from terra and raster packages. Both functions have been developed to be foundational components of data retrieval and processing in continuous workflow situations. In both functions, efforts are made to make the first and subsequent calls of functions have the same result, but faster at subsequent times by way of checksums and digesting. Several features are still under development, including cloud storage of cached objects allowing for sharing between users. Several advanced options are available, see ?reproducibleOptions()'.

r-rfpm 1.1
Propagated dependencies: r-tidyr@1.3.1 r-lawstat@3.6 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=RFPM
Licenses: GPL 3+
Build system: r
Synopsis: Floating Percentile Model
Description:

Floating Percentile Model with additional functions for optimizing inputs and evaluating outputs and assumptions.

r-radarboxplot 1.0.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/caiohamamura/radarBoxplot-R
Licenses: Expat
Build system: r
Synopsis: Implementation of the Radar-Boxplot
Description:

This package creates the radar-boxplot, a plot that was created by the author during his Ph.D. in forest resources. The radar-boxplot is a visualization feature suited for multivariate classification/clustering. It provides an intuitive deep understanding of the data.

r-rediscover 0.3.3
Propagated dependencies: r-shiftconvolvepoibin@1.0.0 r-rcolorbrewer@1.1-3 r-poissonbinomial@1.2.7 r-matrixstats@1.5.0 r-matrix@1.7-4 r-maftools@2.26.0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=Rediscover
Licenses: Artistic License 2.0
Build system: r
Synopsis: Identify Mutually Exclusive Mutations
Description:

An optimized method for identifying mutually exclusive genomic events. Its main contribution is a statistical analysis based on the Poisson-Binomial distribution that takes into account that some samples are more mutated than others. See [Canisius, Sander, John WM Martens, and Lodewyk FA Wessels. (2016) "A novel independence test for somatic alterations in cancer shows that biology drives mutual exclusivity but chance explains most co-occurrence." Genome biology 17.1 : 1-17. <doi:10.1186/s13059-016-1114-x>]. The mutations matrices are sparse matrices. The method developed takes advantage of the advantages of this type of matrix to save time and computing resources.

r-recmetrics 0.1.0
Propagated dependencies: r-tidyselect@1.2.1 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://noah-padgett.github.io/recmetrics/
Licenses: Expat
Build system: r
Synopsis: Psychometric Evaluation Using Relative Excess Correlations
Description:

Modern results of psychometric theory are implemented to provide users with a way of evaluating the internal structure of a set of items guided by theory. These methods are discussed in detail in VanderWeele and Padgett (2024) <doi:10.31234/osf.io/rnbk5>. The relative excess correlation matrices will, generally, have numerous negative entries even if all of the raw correlations between each pair of indicators are positive. The positive deviations of the relative excess correlation matrix entries help identify clusters of indicators that are more strongly related to one another, providing insights somewhat analogous to factor analysis, but without the need for rotations or decisions concerning the number of factors. A goal similar to exploratory/confirmatory factor analysis, but recmetrics uses novel methods that do not rely on assumptions of latent variables or latent variable structures.

r-rcmdrplugin-rmtcjags 1.0-2
Dependencies: jags@4.3.1
Propagated dependencies: r-runjags@2.2.2-5 r-rmeta@3.0 r-rjags@4-17 r-rcmdr@2.9-5 r-igraph@2.2.1 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RcmdrPlugin.RMTCJags
Licenses: GPL 2+
Build system: r
Synopsis: R MTC Jags 'Rcmdr' Plugin
Description:

Mixed Treatment Comparison is a methodology to compare directly and/or indirectly health strategies (drugs, treatments, devices). This package provides an Rcmdr plugin to perform Mixed Treatment Comparison for binary outcome using BUGS code from Bristol University (Lu and Ades).

r-rodbc 1.3-26.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RODBC
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: ODBC Database Access
Description:

An ODBC database interface.

r-redbookperu 0.0.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/PaulESantos/redbookperu
Licenses: Expat
Build system: r
Synopsis: Access and Analyze Data from the Red Book of Endemic Plants of Peru
Description:

This package provides access to and analysis of data from "The Red Book of Endemic Plants of Peru" (León, B., Roque, J., Ulloa, C., Jorgensen, P.M., Pitman, N., Cano, A. 2006) <doi:10.15381/rpb.v13i2.1782>. This package offers comprehensive taxonomic, geographic, and conservation information about Peru's endemic plant species. It includes functions to verify species inclusion, obtain updated taxonomic details, and explore the dataset.

r-rfit 0.27.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=Rfit
Licenses: GPL 2+
Build system: r
Synopsis: Rank-Based Estimation for Linear Models
Description:

Rank-based (R) estimation and inference for linear models. Estimation is for general scores and a library of commonly used score functions is included.

r-rcdea 1.0
Propagated dependencies: r-np@0.60-18 r-benchmarking@0.33
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rcDEA
Licenses: GPL 2
Build system: r
Synopsis: Robust and Conditional Data Envelopment Analysis (DEA)
Description:

With this package we provide an easy method to compute robust and conditional Data Envelopment Analysis (DEA), Free Disposal Hull (FDH) and Benefit of the Doubt (BOD) scores. The robust approach is based on the work of Cazals, Florens and Simar (2002) <doi:10.1016/S0304-4076(01)00080-X>. The conditional approach is based on Daraio and Simar (2007) <doi:10.1007/s11123-007-0049-3>. Besides we provide graphs to help with the choice of m. We relay on the Benchmarking package to compute the efficiency scores and on the np package to compute non parametric estimation of similarity among units.

r-rampage 0.2.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://adamtkocsis.com/rampage/
Licenses: FSDG-compatible
Build system: r
Synopsis: Calibrated Color Ramps
Description:

Value-calibrated color ramps can be useful to emphasize patterns in data from complex distributions. Colors can be tied to specific values, and the association can be expanded into full color ramps that also include the relationship between colors and values. Such ramps can be used in a variety of cases when heatmap-type plots are necessary, including the visualization of vector and raster spatial data, such as topographies.

r-r2dii-data 0.6.1
Propagated dependencies: r-lifecycle@1.0.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://rmi-pacta.github.io/r2dii.data/
Licenses: CC0
Build system: r
Synopsis: Datasets to Measure the Alignment of Corporate Loan Books with Climate Goals
Description:

These datasets support the implementation in R of the software PACTA (Paris Agreement Capital Transition Assessment), which is a free tool that calculates the alignment between corporate lending portfolios and climate scenarios (<https://www.transitionmonitor.com/>). Financial institutions use PACTA to study how their capital allocation decisions align with climate change mitigation goals. Because both financial institutions and market data providers keep their data private, this package provides fake, public data to enable the development and use of PACTA in R.

r-rmfrac 0.1.1
Propagated dependencies: r-zoo@1.8-14 r-shinycssloaders@1.1.0 r-shiny@1.11.1 r-rlang@1.1.6 r-proxy@0.4-27 r-plotly@4.11.0 r-parallelly@1.45.1 r-matrixstats@1.5.0 r-ggplot2@4.0.1 r-foreach@1.5.2 r-fields@17.1 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/Nemini-S/Rmfrac
Licenses: GPL 3
Build system: r
Synopsis: Simulation and Statistical Analysis of Multifractional Processes
Description:

Simulation of several fractional and multifractional processes. Includes Brownian and fractional Brownian motions, bridges and Gaussian Haar-based multifractional processes (GHBMP). Implements the methods from Ayache, Olenko and Samarakoon (2025) <doi:10.48550/arXiv.2503.07286> for simulation of GHBMP. Estimation of Hurst functions and local fractal dimension. Clustering realisations based on the Hurst functions. Several functions to estimate and plot geometric statistics of the processes and time series. Provides a shiny application for interactive use of the functions from the package.

r-robustbayesiancopas 2.0
Propagated dependencies: r-statip@0.2.3 r-rjags@4-17
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RobustBayesianCopas
Licenses: GPL 3
Build system: r
Synopsis: Robust Bayesian Copas Selection Model
Description:

Fits the robust Bayesian Copas (RBC) selection model of Bai et al. (2020) <arXiv:2005.02930> for correcting and quantifying publication bias in univariate meta-analysis. Also fits standard random effects meta-analysis and the Copas-like selection model of Ning et al. (2017) <doi:10.1093/biostatistics/kxx004>.

r-r0 1.3-1
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/tobadia/R0
Licenses: GPL 2+
Build system: r
Synopsis: Estimation of R0 and Real-Time Reproduction Number from Epidemics
Description:

Estimation of reproduction numbers for disease outbreak, based on incidence data. The R0 package implements several documented methods. It is therefore possible to compare estimations according to the methods used. Depending on the methods requested by user, basic reproduction number (commonly denoted as R0) or real-time reproduction number (referred to as R(t)) is computed, along with a 95% Confidence Interval. Plotting outputs will give different graphs depending on the methods requested : basic reproductive number estimations will only show the epidemic curve (collected data) and an adjusted model, whereas real-time methods will also show the R(t) variations throughout the outbreak time period. Sensitivity analysis tools are also provided, and allow for investigating effects of varying Generation Time distribution or time window on estimates.

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-regr-easy 1.0.2
Propagated dependencies: r-stargazer@5.2.3 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=regr.easy
Licenses: GPL 3
Build system: r
Synopsis: Easy Linear, Quadratic and Cubic Regression Models
Description:

Focused on linear, quadratic and cubic regression models, it has a function for calculating the models, obtaining a list with their parameters, and a function for making the graphs for the respective models.

r-rspa 0.2.8
Propagated dependencies: r-validate@1.1.7 r-lintools@0.1.7
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/markvanderloo/rspa
Licenses: GPL 3
Build system: r
Synopsis: Adapt Numerical Records to Fit (in)Equality Restrictions
Description:

Minimally adjust the values of numerical records in a data.frame, such that each record satisfies a predefined set of equality and/or inequality constraints. The constraints can be defined using the validate package. The core algorithms have recently been moved to the lintools package, refer to lintools for a more basic interface and access to a version of the algorithm that works with sparse matrices.

Page: 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447448449450451452453454455456457458459460461462463464465466467468469470471472473474475476477478479480481482483484485486487488489490491492493494495496497498499500501502503504505506507508509510511512513514515516517518519520521522523524525526527528529530531532533534535536537538539540541542543544545546547548549550551552553554555556557558559560561562563564565566567568569570571572573574575576577578579580581582583584585586587588589590591592593594595596597598599600601602603604605606607608609610611612613614615616617618619620621622623624625626627628629630631632633634635636637638639640641642643644645646647648649650651652653654655656657658659660661662663664665666667668669670671672673674675676677678679680681682683684685686687688689690691692693694695696697698699700701702703704705706707708709710711712713714715716717718719720721722723724725726727728729730731732733734735736737738739740741742743744745746747748749750751752753754755756757758759760761762763764765766767768769770771772773774775776777778779780781782783784785786787788789790791792793794795796797798799800801802803804805806807808809810811812813814815816817818819820821822823824825826827828829830831832833834835836837838839840841842843844845846847848849850851852853854855856857858859860861862863864865866867868869870871872873874875876877878879880881882883884885886887
Total results: 21283