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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-greedyepl 1.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GreedyEPL
Licenses: GPL 3
Build system: r
Synopsis: Greedy Expected Posterior Loss
Description:

Summarises a collection of partitions into a single optimal partition. The objective function is the expected posterior loss, and the minimisation is performed through a greedy algorithm described in Rastelli, R. and Friel, N. (2017) "Optimal Bayesian estimators for latent variable cluster models" <DOI:10.1007/s11222-017-9786-y>.

r-geonetwork 0.6.0
Propagated dependencies: r-sf@1.0-23 r-igraph@2.2.1 r-geosphere@1.5-20
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://astre.gitlab.cirad.fr/geonetwork
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Geographic Networks
Description:

This package provides classes and methods for handling networks or graphs whose nodes are geographical (i.e. locations in the globe). The functionality includes the creation of objects of class geonetwork as a graph with node coordinates, the computation of network measures, the support of spatial operations (projection to different Coordinate Reference Systems, handling of bounding boxes, etc.) and the plotting of the geonetwork object combined with supplementary cartography for spatial representation.

r-geopsych 0.1.0
Propagated dependencies: r-sp@2.2-0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/ZhangSui921/geopsych
Licenses: GPL 3+
Build system: r
Synopsis: Methods of Applied Psychology and Psychometrics in Geographical Analysis
Description:

Integrating applied psychological and psychometric methods into geographical analysis. With the emergence of geo-referenced questionnaires, spatially explicit psychological and psychometric methods can offer a geographically contextualised approach that reflects latent traits and processes at a more local scale, leading to more tailored research and decision-making processes. The implemented methods include Geographically Weighted Cronbach's alpha and its bandwidth selection. See Zhang & Li (2025) <doi:10.1111/gean.70021>.

r-grpslope 0.3.4
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/agisga/grpSLOPE
Licenses: GPL 3
Build system: r
Synopsis: Group Sorted L1 Penalized Estimation
Description:

Group SLOPE (Group Sorted L1 Penalized Estimation) is a penalized linear regression method that is used for adaptive selection of groups of significant predictors in a high-dimensional linear model. The Group SLOPE method can control the (group) false discovery rate at a user-specified level (i.e., control the expected proportion of irrelevant among all selected groups of predictors). For additional information about the implemented methods please see Brzyski, Gossmann, Su, Bogdan (2018) <doi:10.1080/01621459.2017.1411269>.

r-gwrr 0.2-2
Propagated dependencies: r-lars@1.3 r-fields@17.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gwrr
Licenses: GPL 2+
Build system: r
Synopsis: Fits Geographically Weighted Regression Models with Diagnostic Tools
Description:

Fits geographically weighted regression (GWR) models and has tools to diagnose and remediate collinearity in the GWR models. Also fits geographically weighted ridge regression (GWRR) and geographically weighted lasso (GWL) models. See Wheeler (2009) <doi:10.1068/a40256> and Wheeler (2007) <doi:10.1068/a38325> for more details.

r-git2rdata 0.5.1
Propagated dependencies: r-yaml@2.3.10 r-git2r@0.36.2 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://ropensci.github.io/git2rdata/
Licenses: GPL 3
Build system: r
Synopsis: Store and Retrieve Data.frames in a Git Repository
Description:

The git2rdata package is an R package for writing and reading dataframes as plain text files. A metadata file stores important information. 1) Storing metadata allows to maintain the classes of variables. By default, git2rdata optimizes the data for file storage. The optimization is most effective on data containing factors. The optimization makes the data less human readable. The user can turn this off when they prefer a human readable format over smaller files. Details on the implementation are available in vignette("plain_text", package = "git2rdata"). 2) Storing metadata also allows smaller row based diffs between two consecutive commits. This is a useful feature when storing data as plain text files under version control. Details on this part of the implementation are available in vignette("version_control", package = "git2rdata"). Although we envisioned git2rdata with a git workflow in mind, you can use it in combination with other version control systems like subversion or mercurial. 3) git2rdata is a useful tool in a reproducible and traceable workflow. vignette("workflow", package = "git2rdata") gives a toy example. 4) vignette("efficiency", package = "git2rdata") provides some insight into the efficiency of file storage, git repository size and speed for writing and reading.

r-gagerr 0.1.0
Propagated dependencies: r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gageRR
Licenses: GPL 3+
Build system: r
Synopsis: Calculate Gauge Repeatability and Reproducibility
Description:

Procedures for calculating variance components, study variation, percent study variation, and percent tolerance for gauge repeatability and reproducibility study. Methods included are ANOVA and Average / Range methods. Requires balanced study.

r-geigen 2.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=geigen
Licenses: GPL 2+
Build system: r
Synopsis: Calculate Generalized Eigenvalues, the Generalized Schur Decomposition and the Generalized Singular Value Decomposition of a Matrix Pair with Lapack
Description:

This package provides functions to compute generalized eigenvalues and eigenvectors, the generalized Schur decomposition and the generalized Singular Value Decomposition of a matrix pair, using Lapack routines.

r-gunsales 0.1.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/eddelbuettel/gunsales
Licenses: FSDG-compatible
Build system: r
Synopsis: Statistical Analysis of Monthly Background Checks of Gun Purchases
Description:

Statistical analysis of monthly background checks of gun purchases for the New York Times story "What Drives Gun Sales: Terrorism, Obama and Calls for Restrictions" at <https://www.nytimes.com/interactive/2015/12/10/us/gun-sales-terrorism-obama-restrictions.html> is provided.

r-gtextras 0.6.2
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/jthomasmock/gtExtras
Licenses: Expat
Build system: r
Synopsis: Extending 'gt' for Beautiful HTML Tables
Description:

This package provides additional functions for creating beautiful tables with gt'. The functions are generally wrappers around boilerplate or adding opinionated niche capabilities and helpers functions.

r-gwasbycluster 0.1.7
Propagated dependencies: r-snpstats@1.60.0 r-rootsolve@1.8.2.4 r-limma@3.66.0 r-biobase@2.70.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GWASbyCluster
Licenses: GPL 2+
Build system: r
Synopsis: Identifying Significant SNPs in Genome Wide Association Studies (GWAS) via Clustering
Description:

Identifying disease-associated significant SNPs using clustering approach. This package is implementation of method proposed in Xu et al (2019) <DOI:10.1038/s41598-019-50229-6>.

r-gofcens 1.5
Propagated dependencies: r-survival@3.8-3 r-gridextra@2.3 r-ggplot2@4.0.1 r-fitdistrplus@1.2-4 r-boot@1.3-32 r-actuar@3.3-6
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://arnaugarciagrbio.github.io/GofCens/
Licenses: GPL 2+
Build system: r
Synopsis: Goodness-of-Fit Methods for Right-Censored Data
Description:

Graphical tools and goodness-of-fit tests for right-censored data: 1. Kolmogorov-Smirnov, Cramér-von Mises, and Anderson-Darling tests, which use the empirical distribution function for complete data and are extended for right-censored data. 2. Generalized chi-squared-type test, which is based on the squared differences between observed and expected counts using random cells with right-censored data. 3. A series of graphical tools such as probability or cumulative hazard plots to guide the decision about the most suitable parametric model for the data. These functions share several features as they can handle both complete and right-censored data, and they provide parameter estimates for the distributions under study.

r-glmxdiag 1.0.0
Propagated dependencies: r-vgam@1.1-13
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=glmxdiag
Licenses: GPL 2+
Build system: r
Synopsis: Collection of Graphic Tools for GLM Diagnostics and some Extensions
Description:

This package provides diagnostic graphic tools for GLMs, beta-binomial regression model (estimated by VGAM package), beta regression model (estimated by betareg package) and negative binomial regression model (estimated by MASS package). Since most of functions implemented in glmxdiag already exist in other packages, the aim is to provide the user unique functions that work on almost all regression models previously specified. Details about some of the implemented functions can be found in Brown (1992) <doi:10.2307/2347617>, Dunn and Smyth (1996) <doi:10.2307/1390802>, O'Hara Hines and Carter (1993) <doi:10.2307/2347405>, Wang (1985) <doi:10.2307/1269708>.

r-gaussfacts 0.0.2
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gaussfacts
Licenses: GPL 2+
Build system: r
Synopsis: The Greatest Mathematician Since Antiquity
Description:

Display a random fact about Carl Friedrich Gauss based the on collection curated by Mike Cavers via the <http://gaussfacts.com> site.

r-ggscidca 0.2.8
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=ggscidca
Licenses: GPL 3
Build system: r
Synopsis: Plotting Decision Curve Analysis with Coloured Bars
Description:

Decision curve analysis is a method for evaluating and comparing prediction models that incorporates clinical consequences, requires only the data set on which the models are tested, and can be applied to models that have either continuous or dichotomous results. The ggscidca package adds coloured bars of discriminant relevance to the traditional decision curve. Improved practicality and aesthetics. This method was described by Balachandran VP (2015) <doi:10.1016/S1470-2045(14)71116-7>.

r-grapesagri1 1.1.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=grapesAgri1
Licenses: GPL 3
Build system: r
Synopsis: Collection of Shiny Apps for Agricultural Research Data Analysis
Description:

Allows user to have graphical user interface to perform analysis of Agricultural experimental data. On using the functions in this package a Interactive User Interface will pop up. Apps Works by simple upload of files in CSV format.

r-gammi 0.2
Propagated dependencies: r-matrix@1.7-4 r-lme4@1.1-37
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gammi
Licenses: GPL 2+
Build system: r
Synopsis: Generalized Additive Mixed Model Interface
Description:

An interface for fitting generalized additive models (GAMs) and generalized additive mixed models (GAMMs) using the lme4 package as the computational engine, as described in Helwig (2024) <doi:10.3390/stats7010003>. Supports default and formula methods for model specification, additive and tensor product splines for capturing nonlinear effects, and automatic determination of spline type based on the class of each predictor. Includes an S3 plot method for visualizing the (nonlinear) model terms, an S3 predict method for forming predictions from a fit model, and an S3 summary method for conducting significance testing using the Bayesian interpretation of a smoothing spline.

r-geinfo 1.0
Propagated dependencies: r-rvest@1.0.5 r-pheatmap@1.0.13 r-mass@7.3-65 r-glmnet@4.1-10 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GEInfo
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Gene-Environment Interaction Analysis Incorporating Prior Information
Description:

Realize three approaches for Gene-Environment interaction analysis. All of them adopt Sparse Group Minimax Concave Penalty to identify important G variables and G-E interactions, and simultaneously respect the hierarchy between main G and G-E interaction effects. All the three approaches are available for Linear, Logistic, and Poisson regression. Also realize to mine and construct prior information for G variables and G-E interactions.

r-geor 1.9-6
Propagated dependencies: r-splancs@2.01-45 r-sp@2.2-0 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: http://www.leg.ufpr.br/geoR/
Licenses: GPL 2+
Build system: r
Synopsis: Analysis of Geostatistical Data
Description:

Geostatistical analysis including variogram-based, likelihood-based and Bayesian methods. Software companion for Diggle and Ribeiro (2007) <doi:10.1007/978-0-387-48536-2>.

r-geostan 0.8.2
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://connordonegan.github.io/geostan/
Licenses: GPL 3+
Build system: r
Synopsis: Bayesian Spatial Analysis
Description:

For spatial data analysis; provides exploratory spatial analysis tools, spatial regression, spatial econometric, and disease mapping models, model diagnostics, and special methods for inference with small area survey data (e.g., the America Community Survey (ACS)) and censored population health monitoring data. Models are pre-specified using the Stan programming language, a platform for Bayesian inference using Markov chain Monte Carlo (MCMC). References: Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>; Donegan (2021) <doi:10.31219/osf.io/3ey65>; Donegan (2022) <doi:10.21105/joss.04716>; Donegan, Chun and Hughes (2020) <doi:10.1016/j.spasta.2020.100450>; Donegan, Chun and Griffith (2021) <doi:10.3390/ijerph18136856>; Morris et al. (2019) <doi:10.1016/j.sste.2019.100301>.

r-googlepolylines 0.8.7
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/SymbolixAU/googlePolylines
Licenses: Expat
Build system: r
Synopsis: Encoding Coordinates into 'Google' Polylines
Description:

Encodes simple feature ('sf') objects and coordinates, and decodes polylines using the Google polyline encoding algorithm (<https://developers.google.com/maps/documentation/utilities/polylinealgorithm>).

r-goldprice 0.1.0
Propagated dependencies: r-readxl@1.4.5
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GOLDprice
Licenses: GPL 3
Build system: r
Synopsis: Gold Price Data
Description:

This package provides a collection of gold price data in various currencies in the form of USD, EUR, JPY, GBP, CAD, CHF, INR, CNY, TRY, SAR, IDR, AED, THB, VND, EGP, KRW, RUB, ZAR, and AUD. This data comes from the World Gold Council. In addition, the data is in the form of daily, weekly, monthly (average and the end of period), quarterly (average and the end of period), and yearly (average and the end of period).

r-grandpriv 0.1.3
Propagated dependencies: r-truncnorm@1.0-9 r-transport@0.15-4 r-rspectra@0.16-2 r-rmutil@1.1.10 r-randnet@1.0 r-igraph@2.2.1 r-hcd@1.0 r-envstats@3.1.0 r-diffpriv@0.4.2
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/lsq0000/GRANDpriv
Licenses: GPL 3+
Build system: r
Synopsis: Graph Release with Assured Node Differential Privacy
Description:

This package implements a novel method for privatizing network data using differential privacy. Provides functions for generating synthetic networks based on LSM (Latent Space Model), applying differential privacy to network latent positions to achieve overall network privatization, and evaluating the utility of privatized networks through various network statistics. The privatize and evaluate functions support both LSM and RDPG (Random Dot Product Graph). For generating RDPG networks, users are encouraged to use the randnet package <https://CRAN.R-project.org/package=randnet>. For more details, see the "proposed method" section of Liu, Bi, and Li (2025) <doi:10.48550/arXiv.2507.00402>.

r-gdxdt 0.1.0
Propagated dependencies: r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gdxdt
Licenses: FSDG-compatible
Build system: r
Synopsis: IO for GAMS GDX Files using 'data.table'
Description:

Interfaces GAMS data (*.gdx) files with data.table's using the GAMS R package gdxrrw'. The gdxrrw package is available on the GAMS wiki: <https://support.gams.com/doku.php?id=gdxrrw:interfacing_gams_and_r>.

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Total results: 69112