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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-rforestry 0.11.1.0
Propagated dependencies: r-visnetwork@2.1.4 r-rcppthread@2.2.0 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-onehot@0.1.1 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/forestry-labs/Rforestry
Licenses: GPL 3+ FSDG-compatible
Build system: r
Synopsis: Random Forests, Linear Trees, and Gradient Boosting for Inference and Interpretability
Description:

This package provides fast implementations of Random Forests, Gradient Boosting, and Linear Random Forests, with an emphasis on inference and interpretability. Additionally contains methods for variable importance, out-of-bag prediction, regression monotonicity, and several methods for missing data imputation.

r-r2d2ordinal 1.0.2
Propagated dependencies: r-stanheaders@2.32.10 r-rstantools@2.5.0 r-rstan@2.32.7 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-laplacesdemon@16.1.6 r-gigrvg@0.8 r-extradistr@1.10.0 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=R2D2ordinal
Licenses: Expat
Build system: r
Synopsis: Implements Pseudo-R2D2 Prior for Ordinal Regression
Description:

This package implements the pseudo-R2D2 prior for ordinal regression from the paper "Pseudo-R2D2 prior for high-dimensional ordinal regression" by Yanchenko (2025) <doi:10.1007/s11222-025-10667-x>. In particular, it provides code to evaluate the probability distribution function for the cut-points, compute the log-likelihood, calculate the hyper-parameters for the global variance parameter, find the distribution of McFadden's coefficient-of-determination, and fit the model in rstan'. Please cite the paper if you use these codes.

r-refset 0.1.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://github.com/hughjonesd/refset
Licenses: GPL 2
Build system: r
Synopsis: Subsets with Reference Semantics
Description:

This package provides subsets with reference semantics, i.e. subsets which automatically reflect changes in the original object, and which optionally update the original object when they are changed.

r-riemtan 0.2.5
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-r6@2.6.1 r-purrr@1.2.0 r-matrixstats@1.5.0 r-matrix@1.7-4 r-mass@7.3-65 r-jsonlite@2.0.0 r-future@1.68.0 r-furrr@0.3.1 r-arrow@22.0.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://nicoesve.github.io/riemtan/
Licenses: Expat
Build system: r
Synopsis: Riemannian Metrics for Symmetric Positive Definite Matrices
Description:

This package implements various Riemannian metrics for symmetric positive definite matrices, including AIRM (Affine Invariant Riemannian Metric, <doi:10.1007/s11263-005-3222-z>), Log-Euclidean (<doi:10.1002/mrm.20965>), Euclidean, Log-Cholesky (<doi:10.1137/18M1221084>), and Bures-Wasserstein metrics (<doi:10.1016/j.exmath.2018.01.002>). Provides functions for computing logarithmic and exponential maps, vectorization, and statistical operations on the manifold of positive definite matrices.

r-rivr 1.2-3
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/mkoohafkan/rivr
Licenses: GPL 3+
Build system: r
Synopsis: Steady and Unsteady Open-Channel Flow Computation
Description:

This package provides a tool for undergraduate and graduate courses in open-channel hydraulics. Provides functions for computing normal and critical depths, steady-state water surface profiles (e.g. backwater curves) and unsteady flow computations (e.g. flood wave routing) as described in Koohafkan MC, Younis BA (2015). "Open-channel computation with R." The R Journal, 7(2), 249รข 262. <doi: 10.32614/RJ-2015-034>.

r-rjdemetra 0.2.8
Dependencies: openjdk@25
Propagated dependencies: r-rjava@1.0-11
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://rjdverse.github.io/rjdemetra/
Licenses: FSDG-compatible
Build system: r
Synopsis: Interface to 'JDemetra+' Seasonal Adjustment Software
Description:

Interface around JDemetra+ (<https://github.com/jdemetra/jdemetra-app>), the seasonal adjustment software officially recommended to the members of the European Statistical System (ESS) and the European System of Central Banks. It offers full access to all options and outputs of JDemetra+', including the two leading seasonal adjustment methods TRAMO/SEATS+ and X-12ARIMA/X-13ARIMA-SEATS.

r-rscopus 0.9.0
Propagated dependencies: r-tidyr@1.3.1 r-plyr@1.8.9 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-glue@1.8.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://dev.elsevier.com/sc_apis.html
Licenses: GPL 2
Build system: r
Synopsis: Scopus Database 'API' Interface
Description:

Uses Elsevier Scopus API <https://dev.elsevier.com/sc_apis.html> to download information about authors and their citations.

r-rust 1.4.4
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://paulnorthrop.github.io/rust/
Licenses: GPL 2+
Build system: r
Synopsis: Ratio-of-Uniforms Simulation with Transformation
Description:

Uses the generalized ratio-of-uniforms (RU) method to simulate from univariate and (low-dimensional) multivariate continuous distributions. The user specifies the log-density, up to an additive constant. The RU algorithm is applied after relocation of mode of the density to zero, and the user can choose a tuning parameter r. For details see Wakefield, Gelfand and Smith (1991) <DOI:10.1007/BF01889987>, Efficient generation of random variates via the ratio-of-uniforms method, Statistics and Computing (1991) 1, 129-133. A Box-Cox variable transformation can be used to make the input density suitable for the RU method and to improve efficiency. In the multivariate case rotation of axes can also be used to improve efficiency. From version 1.2.0 the Rcpp package <https://cran.r-project.org/package=Rcpp> can be used to improve efficiency.

r-rqdeltact 1.3.3
Propagated dependencies: r-tidyverse@2.0.0 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-proc@1.19.0.1 r-pheatmap@1.0.13 r-oddsratio@2.0.2 r-magrittr@2.0.4 r-hmisc@5.2-4 r-ggsignif@0.6.4 r-ggpmisc@0.6.2 r-ggplot2@4.0.1 r-ggally@2.4.0 r-dplyr@1.1.4 r-ctrlgene@1.0.1 r-corrplot@0.95 r-coin@1.4-3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: <https://github.com/Donadelnal/RQdeltaCT>
Licenses: GPL 3
Build system: r
Synopsis: Relative Quantification of Gene Expression using Delta Ct Methods
Description:

The commonly used methods for relative quantification of gene expression levels obtained in real-time PCR (Polymerase Chain Reaction) experiments are the delta Ct methods, encompassing 2^-dCt and 2^-ddCt methods, originally proposed by Kenneth J. Livak and Thomas D. Schmittgen (2001) <doi:10.1006/meth.2001.1262>. The main idea is to normalise gene expression values using endogenous control gene, present gene expression levels in linear form by using the 2^-(value)^ transformation, and calculate differences in gene expression levels between groups of samples (or technical replicates of a single sample). The RQdeltaCT package offers functions that cover both methods for comparison of either independent groups of samples or groups with paired samples, together with importing expression datasets, performing multi-step quality control of data, enabling numerous data visualisations, enrichment of the standard workflow with additional useful analyses (correlation analysis, Receiver Operating Characteristic analysis, logistic regression), and conveniently export obtained results in table and image formats. The package has been designed to be friendly to non-experts in R programming.

r-rge 1.0
Propagated dependencies: r-matrixmodels@0.5-4 r-matrix@1.7-4 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=RGE
Licenses: GPL 2+
Build system: r
Synopsis: Response from Genotype to Environment
Description:

Compute yield-stability index based on Bayesian methodology, which is useful for analyze multi-environment trials in plant breeding programs. References: Cotes Torres JM, Gonzalez Jaimes EP, and Cotes Torres A (2016) <https://revistas.unimilitar.edu.co/index.php/rfcb/article/view/2037> Seleccion de Genotipos con Alta Respuesta y Estabilidad Fenotipica en Pruebas Regionales: Recuperando el Concepto Biologico.

r-recluster 3.5
Propagated dependencies: r-vegan@2.7-2 r-sp@2.2-0 r-sf@1.0-23 r-plotrix@3.8-13 r-picante@1.8.2 r-phytools@2.5-2 r-phangorn@2.12.1 r-cluster@2.1.8.1 r-ape@5.8-1 r-alphahull@2.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/leondap/recluster
Licenses: GPL 2+
Build system: r
Synopsis: Ordination Methods for the Analysis of Beta-Diversity Indices
Description:

The analysis of different aspects of biodiversity requires specific algorithms. For example, in regionalisation analyses, the high frequency of ties and zero values in dissimilarity matrices produced by Beta-diversity turnover produces hierarchical cluster dendrograms whose topology and bootstrap supports are affected by the order of rows in the original matrix. Moreover, visualisation of biogeographical regionalisation can be facilitated by a combination of hierarchical clustering and multi-dimensional scaling. The recluster package provides robust techniques to visualise and analyse patterns of biodiversity and to improve occurrence data for cryptic taxa.

r-robratio 0.1.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: <https://github.com/kazwd2008/robRatio>
Licenses: GPL 3+
Build system: r
Synopsis: M-Estimators for Generalized Ratio and Linear Regression Models
Description:

Robust estimators for generalized ratio model (Wada, Sakashita and Tsubaki, 2021)<doi:10.17713/ajs.v50i1.994> and linear regression model by the IRLS(iterative reweighted least squares) algorithm are contained.

r-readsdmx 0.3.1
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/mdequeljoe/readsdmx
Licenses: GPL 3
Build system: r
Synopsis: Read SDMX-XML Data
Description:

Read Statistical Data and Metadata Exchange (SDMX) XML data. This the main transmission format used in official statistics. Data can be imported from local SDMX-ML files or a SDMX web-service and will be read in as is into a dataframe object. The RapidXML C++ library <https://rapidxml.sourceforge.net/> is used to parse the XML data.

r-rcppgetconf 0.0.4
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/rcppgetconf
Licenses: GPL 2+
Build system: r
Synopsis: 'Rcpp' Interface for Querying System Configuration Variables
Description:

The getconf command-line tool provided by libc allows querying of a large number of system variables. This package provides similar functionality.

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-rtaxometrics 3.2.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RTaxometrics
Licenses: Expat
Build system: r
Synopsis: Taxometric Analysis
Description:

We provide functions to perform taxometric analyses. This package contains 46 functions, but only 5 should be called directly by users. CheckData() should be run prior to any taxometric analysis to ensure that the data are appropriate for taxometric analysis. RunTaxometrics() performs taxometric analyses for a sample of data. RunCCFIProfile() performs a series of taxometric analyses to generate a CCFI profile. CreateData() generates a sample of categorical or dimensional data. ClassifyCases() assigns cases to groups using the base-rate classification method.

r-rcppapt 0.0.10
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/rcppapt
Licenses: GPL 2+
Build system: r
Synopsis: 'Rcpp' Interface to the APT Package Manager
Description:

The APT Package Management System provides Debian and Debian-derived Linux systems with a powerful system to resolve package dependencies. This package offers access directly from R. This can only work on a system with a suitable libapt-pkg-dev installation so functionality is curtailed if such a library is not found.

r-rkin 1.0.4
Propagated dependencies: r-shades@1.4.0 r-sf@1.0-23 r-rcolorbrewer@1.1-3 r-randomcolor@1.1.0.1 r-mass@7.3-65 r-ks@1.15.1 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/salbeke/rKIN
Licenses: GPL 3+
Build system: r
Synopsis: (Kernel) Isotope Niche Estimation
Description:

Applies methods used to estimate animal homerange, but instead of geospatial coordinates, we use isotopic coordinates. The estimation methods include: 1) 2-dimensional bivariate normal kernel utilization density estimator, 2) bivariate normal ellipse estimator, and 3) minimum convex polygon estimator, all applied to stable isotope data. Additionally, functions to determine niche area, polygon overlap between groups and levels (confidence contours) and plotting capabilities.

r-rngforgpd 1.1.0
Propagated dependencies: r-mvtnorm@1.3-3 r-matrix@1.7-4 r-corpcor@1.6.10
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RNGforGPD
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Random Number Generation for Generalized Poisson Distribution
Description:

Generation of univariate and multivariate data that follow the generalized Poisson distribution. The details of the univariate part are explained in Demirtas (2017) <doi: 10.1080/03610918.2014.968725>, and the multivariate part is an extension of the correlated Poisson data generation routine that was introduced in Yahav and Shmueli (2012) <doi: 10.1002/asmb.901>.

r-radir 1.0.4
Propagated dependencies: r-hermite@1.1.2
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=radir
Licenses: GPL 2+
Build system: r
Synopsis: Inverse-Regression Estimation of Radioactive Doses
Description:

Radioactive doses estimation using individual chromosomal aberrations information. See Higueras M, Puig P, Ainsbury E, Rothkamm K. (2015) <doi:10.1088/0952-4746/35/3/557>.

r-regport 0.3.1
Propagated dependencies: r-survival@3.8-3 r-rlang@1.1.6 r-r6@2.6.1 r-parameters@0.28.3 r-glue@1.8.0 r-forestploter@1.1.3 r-dplyr@1.1.4 r-data-table@1.17.8 r-broom-helpers@1.22.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/ShixiangWang/regport
Licenses: Expat
Build system: r
Synopsis: Regression Model Processing Port
Description:

This package provides R6 classes, methods and utilities to construct, analyze, summarize, and visualize regression models.

r-rprofet 3.1.1
Propagated dependencies: r-stringr@1.6.0 r-sqldf@0.4-11 r-rocit@2.1.2 r-reshape2@1.4.5 r-purrr@1.2.0 r-plyr@1.8.9 r-kableextra@1.4.0 r-gridextra@2.3 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-corrplot@0.95 r-clustofvar@1.2 r-binr@1.1.2
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=Rprofet
Licenses: GPL 3
Build system: r
Synopsis: WOE Transformation and Scorecard Builder
Description:

This package performs all steps in the credit scoring process. This package allows the user to follow all the necessary steps for building an effective scorecard. It provides the user functions for coarse binning of variables, Weights of Evidence (WOE) transformation, variable clustering, custom binning, visualization, and scaling of logistic regression coefficients. The results will generate a scorecard that can be used as an effective credit scoring tool to evaluate risk. For complete details on the credit scoring process, see Siddiqi (2005, ISBN:047175451X).

r-radstackshelpr 0.1.0
Propagated dependencies: r-vcfr@1.15.0 r-gridextra@2.3 r-ggridges@0.5.7 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=RADstackshelpR
Licenses: Expat
Build system: r
Synopsis: Optimize the De Novo Stacks Pipeline via R
Description:

Offers a handful of useful wrapper functions which streamline the reading, analyzing, and visualizing of variant call format (vcf) files in R. This package was designed to facilitate an explicit pipeline for optimizing Stacks (Rochette et al., 2019) (<doi:10.1111/mec.15253>) parameters during de novo (without a reference genome) assembly and variant calling of restriction-enzyme associated DNA sequence (RADseq) data. The pipeline implemented here is based on the 2017 paper "Lost in Parameter Space" (Paris et al., 2017) (<doi:10.1111/2041-210X.12775>) which establishes clear recommendations for optimizing the parameters m', M', and n', during the process of assembling loci.

r-rbcc 0.1.5
Propagated dependencies: r-reshape2@1.4.5 r-qcc@2.7 r-pracma@2.4.6 r-pearsonds@1.3.2 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/kzst/rbcc
Licenses: GPL 2+
Build system: r
Synopsis: Risk-Based Control Charts
Description:

Univariate and multivariate versions of risk-based control charts. Univariate versions of control charts, such as the risk-based version of X-bar, Moving Average (MA), Exponentially Weighted Moving Average Control Charts (EWMA), and Cumulative Sum Control Charts (CUSUM) charts. The risk-based version of the multivariate T2 control chart. Plot and summary functions. Kosztyan et. al. (2016) <doi:10.1016/j.eswa.2016.06.019>.

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