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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 search send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


r-gomp 1.1
Propagated dependencies: r-survival@3.8-6 r-rfast@2.1.5.2 r-rangen@0.0.1 r-quantreg@6.1 r-ordinal@2025.12-29 r-nnet@7.3-20 r-mass@7.3-65 r-hmisc@5.2-5 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gomp
Licenses: GPL 2+
Build system: r
Synopsis: The gamma-OMP Feature Selection Algorithm
Description:

The gamma-Orthogonal Matching Pursuit (gamma-OMP) is a recently suggested modification of the OMP feature selection algorithm for a wide range of response variables. The package offers many alternative regression models, such linear, robust, survival, multivariate etc., including k-fold cross-validation. References: Tsagris M., Papadovasilakis Z., Lakiotaki K. and Tsamardinos I. (2018). "Efficient feature selection on gene expression data: Which algorithm to use?" BioRxiv. <doi:10.1101/431734>. Tsagris M., Papadovasilakis Z., Lakiotaki K. and Tsamardinos I. (2022). "The gamma-OMP algorithm for feature selection with application to gene expression data". IEEE/ACM Transactions on Computational Biology and Bioinformatics 19(2): 1214--1224. <doi:10.1109/TCBB.2020.3029952>.

r-gettz 0.0.5
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/eddelbuettel/gettz/
Licenses: GPL 2+
Build system: r
Synopsis: Get the Timezone Information
Description:

This package provides a function to retrieve the system timezone on Unix systems which has been found to find an answer when Sys.timezone() has failed. It is based on an answer by Duane McCully posted on StackOverflow', and adapted to be callable from R. The package also builds on Windows, but just returns NULL.

r-gdatools 2.3
Propagated dependencies: r-rlang@1.2.0 r-ggrepel@0.9.8 r-ggplot2@4.0.3 r-factominer@2.14 r-descriptio@1.5
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://framagit.org/nicolas-robette/GDAtools
Licenses: GPL 2+
Build system: r
Synopsis: Geometric Data Analysis
Description:

Many tools for Geometric Data Analysis (Le Roux & Rouanet (2005) <doi:10.1007/1-4020-2236-0>), such as MCA variants (Specific Multiple Correspondence Analysis, Class Specific Analysis), many graphical and statistical aids to interpretation (structuring factors, concentration ellipses, inductive tests, bootstrap validation, etc.) and multiple-table analysis (Multiple Factor Analysis, between- and inter-class analysis, Principal Component Analysis and Correspondence Analysis with Instrumental Variables, etc.).

r-gkrreg 0.4.0
Propagated dependencies: r-sm@2.2-6.0 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/marcelorpf/gkrreg
Licenses: GPL 3
Build system: r
Synopsis: Gaussian Kernel Robust Regression (GKRReg)
Description:

This package implements the Gaussian Kernel Robust Regression (GKRReg / GKRR) method proposed by De Carvalho, Lima Neto and Ferreira (2017) <doi:10.1016/j.neucom.2016.12.035>. The method re-weights observations iteratively using the Gaussian kernel so that poorly-fitted observations (outliers, leverage points) receive small weights, yielding resistance to Y-space outliers, X-space outliers and leverage points. Convergence is guaranteed by Propositions 4.1 and 4.2 of the original paper. Three estimators for the kernel width hyper-parameter are provided (S1: Caputo, S2: pairwise median, S3: residual variance). Inference is provided via an analytic sandwich variance estimator (default) or via bootstrap (percentile, normal and BCa intervals with p-values) through gkrr_boot(). Six real datasets from the robust regression literature are included to facilitate reproducible comparisons.

r-getfredata 1.0.1
Propagated dependencies: r-xml2@1.5.2 r-xml@3.99-0.23 r-stringr@1.6.0 r-rvest@1.0.5 r-readr@2.2.0 r-purrr@1.2.2 r-magrittr@2.0.5 r-lubridate@1.9.5 r-lifecycle@1.0.5 r-janitor@2.2.1 r-glue@1.8.1 r-getdfpdata2@0.6.5 r-fs@2.1.0 r-dplyr@1.2.1 r-cli@3.6.6
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/msperlin/GetFREData/
Licenses: GPL 2
Build system: r
Synopsis: Reading FRE Corporate Data of Public Traded Companies from B3
Description:

Reads corporate data such as board composition and compensation for companies traded at B3, the Brazilian exchange <https://www.b3.com.br/>. All data is downloaded and imported from the ftp site <https://dados.cvm.gov.br/dados/CIA_ABERTA/DOC/FRE/>.

r-gwnorm 1.0.1
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.1-1.1 r-mvtnorm@1.3-7 r-mass@7.3-65 r-igraph@2.3.1 r-hypergeo@1.2-14 r-gsl@2.1-9 r-cholwishart@1.1.4 r-bdgraph@2.74
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GWnorm
Licenses: GPL 2+
Build system: r
Synopsis: G-Wishart Normalising Constants for Gaussian Graphical Models
Description:

Computes G-Wishart normalising constants through a Fourier approach. Either exact analytical results, numerical integration or Monte Carlo estimation are employed. Details at C. Wong, G. Moffa and J. Kuipers (2024), <doi:10.48550/arXiv.2404.06803>. Also includes approximations of the ratio of normalising constants, see details at C. Wong, G. Moffa and J. Kuipers (2025), <doi:10.48550/arXiv.2503.13046>.

r-ggparty 1.0.0.1
Propagated dependencies: r-survival@3.8-6 r-rlang@1.2.0 r-partykit@1.2-27 r-gtable@0.3.6 r-ggplot2@4.0.3 r-checkmate@2.3.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/martin-borkovec/ggparty
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: 'ggplot' Visualizations for the 'partykit' Package
Description:

Extends ggplot2 functionality to the partykit package. ggparty provides the necessary tools to create clearly structured and highly customizable visualizations for tree-objects of the class party'.

r-geodregr 0.2.0
Propagated dependencies: r-zipfr@0.6-70 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/hayoungshin1/GeodRegr
Licenses: GPL 3
Build system: r
Synopsis: Geodesic Regression
Description:

This package provides a gradient descent algorithm to find a geodesic relationship between real-valued independent variables and a manifold-valued dependent variable (i.e. geodesic regression). Available manifolds are Euclidean space, the sphere, hyperbolic space, and Kendall's 2-dimensional shape space. Besides the standard least-squares loss, the least absolute deviations, Huber, and Tukey biweight loss functions can also be used to perform robust geodesic regression. Functions to help choose appropriate cutoff parameters to maintain high efficiency for the Huber and Tukey biweight estimators are included, as are functions for generating random tangent vectors from the Riemannian normal distributions on the sphere and hyperbolic space. The n-sphere is a n-dimensional manifold: we represent it as a sphere of radius 1 and center 0 embedded in (n+1)-dimensional space. Using the hyperboloid model of hyperbolic space, n-dimensional hyperbolic space is embedded in (n+1)-dimensional Minkowski space as the upper sheet of a hyperboloid of two sheets. Kendall's 2D shape space with K landmarks is of real dimension 2K-4; preshapes are represented as complex K-vectors with mean 0 and magnitude 1. Details are described in Shin, H.-Y. and Oh, H.-S. (2020) <arXiv:2007.04518>. Also see Fletcher, P. T. (2013) <doi:10.1007/s11263-012-0591-y>.

r-ganpadata 1.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GANPAdata
Licenses: GPL 2
Build system: r
Synopsis: The GANPA Datasets Package
Description:

This is a dataset package for GANPA, which implements a network-based gene weighting approach to pathway analysis. This package includes data useful for GANPA, such as a functional association network, pathways, an expression dataset and multi-subunit proteins.

r-gmoip 1.5.6
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.2 r-tibble@3.3.1 r-sp@2.2-1 r-rlang@1.2.0 r-rgl@1.3.36 r-rfast@2.1.5.2 r-purrr@1.2.2 r-png@0.1-9 r-plyr@1.8.9 r-moocore@0.3.1 r-matrix@1.7-5 r-mass@7.3-65 r-ggrepel@0.9.8 r-ggplot2@4.0.3 r-geometry@0.5.2 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://relund.github.io/gMOIP/
Licenses: GPL 3+
Build system: r
Synopsis: Tools for 2D and 3D Plots of Single and Multi-Objective Linear/Integer Programming Models
Description:

Make 2D and 3D plots of linear programming (LP), integer linear programming (ILP), or mixed integer linear programming (MILP) models with up to three objectives. Plots of both the solution and criterion space are possible. For instance the non-dominated (Pareto) set for bi-objective LP/ILP/MILP programming models (see vignettes for an overview). The package also contains an function for checking if a point is inside the convex hull.

r-groupcompare 1.0.1
Propagated dependencies: r-vioplot@0.5.1 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=groupcompare
Licenses: GPL 2+
Build system: r
Synopsis: Comparing Two Groups Using Various Descriptive Statistics
Description:

Comparing two independent or paired groups across a range of descriptive statistics, enabling the evaluation of potential differences in central tendency (mean, median), dispersion (variance, interquartile range), shape (skewness, kurtosis), and distributional characteristics (various quantiles). The analytical framework incorporates parametric t-tests, non-parametric Wilcoxon tests, permutation tests, and bootstrap resampling techniques to assess the statistical significance of observed differences.

r-gcpm 1.2.2
Propagated dependencies: r-rcppprogress@0.4.2 r-rcpp@1.1.1-1.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GCPM
Licenses: GPL 2
Build system: r
Synopsis: Generalized Credit Portfolio Model
Description:

Analyze the default risk of credit portfolios. Commonly known models, like CreditRisk+ or the CreditMetrics model are implemented in their very basic settings. The portfolio loss distribution can be achieved either by simulation or analytically in case of the classic CreditRisk+ model. Models are only implemented to respect losses caused by defaults, i.e. migration risk is not included. The package structure is kept flexible especially with respect to distributional assumptions in order to quantify the sensitivity of risk figures with respect to several assumptions. Therefore the package can be used to determine the credit risk of a given portfolio as well as to quantify model sensitivities.

r-glmvsd 1.5
Propagated dependencies: r-ncvreg@3.16.0 r-mass@7.3-65 r-glmnet@5.0 r-brglm@0.7.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/emeryyi/glmvsd
Licenses: GPL 2
Build system: r
Synopsis: Variable Selection Deviation Measures and Instability Tests for High-Dimensional Generalized Linear Models
Description:

Variable selection deviation (VSD) measures and instability tests for high-dimensional model selection methods such as LASSO, SCAD and MCP, etc., to decide whether the sparse patterns identified by those methods are reliable.

r-ggnormalviolin 0.3.0
Propagated dependencies: r-scales@1.4.0 r-ggplot2@4.0.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/wjschne/ggnormalviolin
Licenses: CC0
Build system: r
Synopsis: 'ggplot2' Extension to Make Normal Violin Plots
Description:

Uses ggplot2 to create normally distributed violin plots with specified means and standard deviations. This function can be useful in showing hypothetically normal distributions and confidence intervals.

r-grin2 2.0.0
Propagated dependencies: r-writexl@1.5.4 r-tidyselect@1.2.1 r-tibble@3.3.1 r-survival@3.8-6 r-stringr@1.6.0 r-magrittr@2.0.5 r-ggplot2@4.0.3 r-forcats@1.0.1 r-dplyr@1.2.1 r-data-table@1.18.4 r-circlize@0.4.18
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/abdel-elsayed87/GRIN2
Licenses: GPL 3+
Build system: r
Synopsis: Genomic Random Interval (GRIN)
Description:

Improved version of GRIN software that streamlines its use in practice to analyze genomic lesion data, accelerate its computing, and expand its analysis capabilities to answer additional scientific questions including a rigorous evaluation of the association of genomic lesions with RNA expression. Pounds, Stan, et al. (2013) <DOI:10.1093/bioinformatics/btt372>.

r-gleam 0.8.0
Propagated dependencies: r-data-table@1.18.4 r-cli@3.6.6
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/un-fao/GLEAM/
Licenses: AGPL 3
Build system: r
Synopsis: Global Livestock Environmental Assessment Model (GLEAM-X)
Description:

The official implementation of the Global Livestock Environmental Assessment Model (GLEAM) of the Food and Agriculture Organization of the United Nations (FAO) in R. GLEAM-X provides a modular, transparent framework for simulating livestock production systems and quantifying their environmental impacts. Methodological background: MacLeod et al. (2017) "Invited review: A position on the Global Livestock Environmental Assessment Model (GLEAM)" <doi:10.1017/S1751731117001847>. Further information: <https://www.fao.org/gleam/en/>.

r-gridmicrotex 0.0.4
Dependencies: pkg-config@0.29.2 freetype@2.13.3
Propagated dependencies: r-systemfonts@1.3.2 r-rcpp@1.1.1-1.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/adayim/gridmicrotex
Licenses: Expat
Build system: r
Synopsis: Native 'LaTeX' Math Rendering for Grid Graphics
Description:

Renders LaTeX math equations as native R grid graphics objects (grobs) using the MicroTeX C++ library as the layout engine. Produces resolution-independent vector output that works on any R graphics device, with no external LaTeX installation required.

r-gbm2sas 4.0
Propagated dependencies: r-gbm@2.2.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gbm2sas
Licenses: GPL 3
Build system: r
Synopsis: Convert GBM Object Trees to SAS Code
Description:

Writes SAS code to get predicted values from every tree of a gbm.object.

r-geoadjust 2.0.1
Propagated dependencies: r-tmb@1.9.21 r-terra@1.9-27 r-summer@2.0.0 r-sf@1.1-1 r-rcppeigen@0.3.4.0.2 r-matrix@1.7-5 r-ggplot2@4.0.3 r-fmesher@0.7.0 r-fields@17.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GeoAdjust
Licenses: GPL 2+
Build system: r
Synopsis: Accounting for Random Displacements of True GPS Coordinates of Data
Description:

The purpose is to account for the random displacements (jittering) of true survey household cluster center coordinates in geostatistical analyses of Demographic and Health Surveys program (DHS) data. Adjustment for jittering can be implemented either in the spatial random effect, or in the raster/distance based covariates, or in both. Detailed information about the methods behind the package functionality can be found in our two papers. Umut Altay, John Paige, Andrea Riebler, Geir-Arne Fuglstad (2024) <doi:10.32614/RJ-2024-027>. Umut Altay, John Paige, Andrea Riebler, Geir-Arne Fuglstad (2023) <doi:10.1177/1471082X231219847>.

r-geboes-score 1.0.0
Propagated dependencies: r-checkmate@2.3.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://billdenney.github.io/geboes.score/
Licenses: GPL 3+
Build system: r
Synopsis: Evaluate the Geboes Score for Histology in Ulcerative Colitis
Description:

Evaluate and validate the Geboes score for histological assessment of inflammation in ulcerative colitis. The original Geboes score from Geboes, et al. (2000) <doi:10.1136/gut.47.3.404>, binary version from Li, et al. (2019) <doi:10.1093/ecco-jcc/jjz022>, and continuous version from Magro, et al. (2020) <doi:10.1093/ecco-jcc/jjz123> are all described and implemented.

r-gsdesign 3.9.0
Propagated dependencies: r-xtable@1.8-8 r-tidyr@1.3.2 r-tibble@3.3.1 r-rlang@1.2.0 r-r2rtf@1.3.1 r-gt@1.3.0 r-ggplot2@4.0.3 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://keaven.github.io/gsDesign/
Licenses: GPL 3+
Build system: r
Synopsis: Group Sequential Design
Description:

Derives group sequential clinical trial designs and describes their properties. Particular focus on time-to-event, binary, and continuous outcomes. Largely based on methods described in Jennison, Christopher and Turnbull, Bruce W., 2000, "Group Sequential Methods with Applications to Clinical Trials" ISBN: 0-8493-0316-8.

r-googlepublicdata 0.16.1
Propagated dependencies: r-xml@3.99-0.23 r-readxl@1.5.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: http://github.com/gvegayon/googlePublicData/
Licenses: Expat
Build system: r
Synopsis: Working with Google's 'Public Data Explorer' DSPL Metadata Files
Description:

This package provides a collection of functions to set up Google Public Data Explorer <https://www.google.com/publicdata/> data visualization tool with your own data, building automatically the corresponding DataSet Publishing Language file, or DSPL (XML), metadata file jointly with the CSV files. All zip-up and ready to be published in Public Data Explorer'.

r-gghoriplot 1.0.1
Propagated dependencies: r-tidyr@1.3.2 r-stringr@1.6.0 r-magrittr@2.0.5 r-glue@1.8.1 r-ggplot2@4.0.3 r-dplyr@1.2.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://rivasiker.github.io/ggHoriPlot/
Licenses: GPL 3
Build system: r
Synopsis: Horizon Plots for 'ggplot2'
Description:

This package provides a user-friendly, highly customizable R package for building horizon plots in the ggplot2 environment.

r-ggetho 0.3.7
Propagated dependencies: r-stringr@1.6.0 r-scales@1.4.0 r-rlang@1.2.0 r-labeling@0.4.3 r-ggplot2@4.0.3 r-data-table@1.18.4 r-cli@3.6.6 r-behavr@0.3.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/rethomics/ggetho
Licenses: GPL 3
Build system: r
Synopsis: Visualisation of High-Throughput Behavioural (i.e. Ethomics) Data
Description:

Extension of ggplot2 providing layers, scales and preprocessing functions useful to represent behavioural variables that are recorded over multiple animals and days. This package is part of the rethomics framework <https://rethomics.github.io/>.

Total packages: 72484