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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-glmsimulator 1.0.0
Propagated dependencies: r-tweedie@2.3.5 r-stringr@1.6.0 r-statmod@1.5.1 r-mass@7.3-65 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-cplm@0.7-12.1 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GlmSimulatoR
Licenses: GPL 3
Build system: r
Synopsis: Creates Ideal Data for Generalized Linear Models
Description:

This package creates ideal data for all distributions in the generalized linear model framework.

r-gpscdf 0.1.1
Propagated dependencies: r-survival@3.8-3 r-nnet@7.3-20 r-nbpmatching@1.5.6 r-mass@7.3-65 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=GPSCDF
Licenses: GPL 3+
Build system: r
Synopsis: Generalized Propensity Score Cumulative Distribution Function
Description:

This package implements the generalized propensity score cumulative distribution function proposed by Greene (2017) <https://digitalcommons.library.tmc.edu/dissertations/AAI10681743/>. A single scalar balancing score is calculated for any generalized propensity score vector with three or more treatments. This balancing score is used for propensity score matching and stratification in outcome analyses when analyzing either ordinal or multinomial treatments.

r-georange 0.1.0
Propagated dependencies: r-velociraptr@1.1.0 r-sp@2.2-0 r-raster@3.6-32 r-proj4@1.0-15 r-moments@0.14.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GeoRange
Licenses: GPL 3
Build system: r
Synopsis: Calculating Geographic Range from Occurrence Data
Description:

Calculates and analyzes six measures of geographic range from a set of longitudinal and latitudinal occurrence data. Measures included are minimum convex hull area, minimum spanning tree distance, longitudinal range, latitudinal range, maximum pairwise great circle distance, and number of X by X degree cells occupied.

r-ggrounded 0.0.3
Propagated dependencies: r-gridgeometry@0.4-0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/botan/ggrounded
Licenses: Expat
Build system: r
Synopsis: Rounded Bar Plots
Description:

This package creates bar plots with rounded corners using ggplot2'. The code in this package was adapted from a solution provided by Stack Overflow user sthoch in the following post <https://stackoverflow.com/questions/62176038/r-ggplot2-bar-chart-with-round-corners-on-top-of-bar>.

r-gb2group 0.3.0
Propagated dependencies: r-numderiv@2016.8-1.1 r-minpack-lm@1.2-4 r-ineq@0.2-13 r-gb2@2.1.2
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GB2group
Licenses: GPL 2+
Build system: r
Synopsis: Estimation of the Generalised Beta Distribution of the Second Kind from Grouped Data
Description:

Estimation of the generalized beta distribution of the second kind (GB2) and related models using grouped data in form of income shares. The GB2 family is a general class of distributions that provides an accurate fit to income data. GB2group includes functions to estimate the GB2, the Singh-Maddala, the Dagum, the Beta 2, the Lognormal and the Fisk distributions. GB2group deploys two different econometric strategies to estimate these parametric distributions, the equally weighted minimum distance (EWMD) estimator and the optimally weighted minimum distance (OMD) estimator. Asymptotic standard errors are reported for the OMD estimates. Standard errors of the EWMD estimates are obtained by Monte Carlo simulation. See Jorda et al. (2018) <arXiv:1808.09831> for a detailed description of the estimation procedure.

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-gestalt 0.2.0
Propagated dependencies: r-rlang@1.1.6
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/egnha/gestalt
Licenses: Expat
Build system: r
Synopsis: Tools for Making and Combining Functions
Description:

This package provides a suite of function-building tools centered around a (forward) composition operator, %>>>%, which extends the semantics of the magrittr %>% operator and supports Tidyverse quasiquotation. It enables you to construct composite functions that can be inspected and transformed as list-like objects. In conjunction with %>>>%, a compact function constructor, fn(), and a partial-application constructor, partial(), are also provided; both support quasiquotation.

r-glmnetr 0.6-3
Propagated dependencies: r-xgboost@1.7.11.1 r-torch@0.16.3 r-survival@3.8-3 r-smoof@1.6.0.3 r-rpart@4.1.24 r-randomforestsrc@2.9.3 r-paramhelpers@1.14.2 r-mlrmbo@1.1.5.1 r-matrix@1.7-4 r-glmnet@4.1-10 r-aorsf@0.1.6
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=glmnetr
Licenses: GPL 3
Build system: r
Synopsis: Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models
Description:

Cross validation informed Relaxed LASSO (or more generally elastic net), gradient boosting machine ('xgboost'), Random Forest ('RandomForestSRC'), Oblique Random Forest ('aorsf'), Artificial Neural Network (ANN), Recursive Partitioning ('RPART') or step wise regression models are fit. Cross validation leave out samples (leading to nested cross validation) or bootstrap out-of-bag samples are used to evaluate and compare performances between these models with results presented in tabular or graphical means. Calibration plots can also be generated, again based upon (outer nested) cross validation or bootstrap leave out (out of bag) samples. Note, at the time of this writing, in order to fit gradient boosting machine models one must install the packages DiceKriging and rgenoud using the install.packages() function. For some datasets, for example when the design matrix is not of full rank, glmnet may have very long run times when fitting the relaxed lasso model, from our experience when fitting Cox models on data with many predictors and many patients, making it difficult to get solutions from either glmnet() or cv.glmnet(). This may be remedied by using the path=TRUE option when calling glmnet() and cv.glmnet(). Within the glmnetr package the approach of path=TRUE is taken by default. other packages doing similar include nestedcv <https://cran.r-project.org/package=nestedcv>, glmnetSE <https://cran.r-project.org/package=glmnetSE> which may provide different functionality when performing a nested CV. Use of the glmnetr has many similarities to the glmnet package and it could be helpful for the user of glmnetr also become familiar with the glmnet package <https://cran.r-project.org/package=glmnet>, with the "An Introduction to glmnet'" and "The Relaxed Lasso" being especially useful in this regard.

r-gominer 1.3
Propagated dependencies: r-vprint@1.2 r-randomgodb@1.1 r-minimalistgodb@1.1.0 r-hgnchelper@0.8.15 r-gplots@3.2.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GoMiner
Licenses: GPL 2+
Build system: r
Synopsis: Automate the Mapping Between a List of Genes and Gene Ontology Categories
Description:

In gene-expression microarray studies, for example, one generally obtains a list of dozens or hundreds of genes that differ in expression between samples and then asks What does all of this mean biologically? Alternatively, gene lists can be derived conceptually in addition to experimentally. For instance, one might want to analyze a group of genes known as housekeeping genes. The work of the Gene Ontology (GO) Consortium <geneontology.org> provides a way to address that question. GO organizes genes into hierarchical categories based on biological process, molecular function and subcellular localization. The role of GoMiner is to automate the mapping between a list of genes and GO, and to provide a statistical summary of the results as well as a visualization.

r-ggdmcprior 0.2.9.0
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-lattice@0.22-7 r-ggdmcheaders@0.2.9.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=ggdmcPrior
Licenses: GPL 2+
Build system: r
Synopsis: Prior Probability Functions of the Standard and Truncated Distribution
Description:

This package provides tools for specifying and evaluating standard and truncated probability distributions, with support for log-space computation and joint distribution specification. It enables Bayesian computation for cognition models and includes utilities for density calculation, sampling, and visualisation, facilitating prior distribution specification and model assessment in hierarchical Bayesian frameworks.

r-gseries 3.0.2
Propagated dependencies: r-xmpdf@0.2.1 r-rlang@1.1.6 r-osqp@0.6.3.3 r-lifecycle@1.0.4 r-gridextra@2.3 r-ggtext@0.1.2 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://StatCan.github.io/gensol-gseries/en/
Licenses: GPL 3+
Build system: r
Synopsis: Improve the Coherence of Your Time Series Data
Description:

R version of G-Series', Statistics Canada's generalized system devoted to the benchmarking and reconciliation of time series data. The methods used in G-Series essentially come from Dagum, E. B., and P. Cholette (2006) <doi:10.1007/0-387-35439-5>.

r-glossa 1.2.4
Propagated dependencies: r-zip@2.3.3 r-waiter@0.2.5-1.927501b r-tidyterra@1.0.0 r-terra@1.8-86 r-svglite@2.2.2 r-sparkline@2.0 r-shinywidgets@0.9.0 r-shiny@1.11.1 r-sf@1.0-23 r-proc@1.19.0.1 r-mcp@0.3.4 r-markdown@2.0 r-leaflet@2.2.3 r-htmltools@0.5.8.1 r-ggplot2@4.0.1 r-geothinner@2.1.0 r-dt@0.34.0 r-dplyr@1.1.4 r-dbarts@0.9-32 r-bs4dash@2.3.5 r-blockcv@3.2-0 r-automap@1.1-20
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/iMARES-group/glossa
Licenses: GPL 3
Build system: r
Synopsis: User-Friendly 'shiny' App for Bayesian Species Distribution Models
Description:

This package provides a user-friendly shiny application for Bayesian machine learning analysis of marine species distributions. GLOSSA (Global Ocean Species Spatio-temporal Analysis) uses Bayesian Additive Regression Trees (BART; Chipman, George, and McCulloch (2010) <doi:10.1214/09-AOAS285>) to model species distributions with intuitive workflows for data upload, processing, model fitting, and result visualization. It supports presence-absence and presence-only data (with pseudo-absence generation), spatial thinning, cross-validation, and scenario-based projections. GLOSSA is designed to facilitate ecological research by providing easy-to-use tools for analyzing and visualizing marine species distributions across different spatial and temporal scales. Optionally, pseudo-absences can be generated within the environmental space using the external package flexsdm (not on CRAN), which can be downloaded from <https://github.com/sjevelazco/flexsdm>; this functionality is used conditionally when available and all core features work without it.

r-groan 1.3.1
Propagated dependencies: r-rrblup@4.6.3 r-plyr@1.8.9
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GROAN
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Genomic Regression Workbench
Description:

Workbench for testing genomic regression accuracy on (optionally noisy) phenotypes.

r-gen5helper 1.0.1
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-pracma@2.4.6 r-plyr@1.8.9 r-naturalsort@0.1.3 r-minpack-lm@1.2-4 r-ggplot2@4.0.1 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=gen5helper
Licenses: Expat
Build system: r
Synopsis: Processing 'Gen5' 2.06 Exported Data
Description:

This package provides a collection of functions for processing Gen5 2.06 exported data. Gen5 is an essential data analysis software for BioTek plate readers <https://www.biotek.com/products/software-robotics-software/gen5-microplate-reader-and-imager-software/>. This package contains functions for data cleaning, modeling and plotting using exported data from Gen5 version 2.06. It exports technically correct data defined in (Edwin de Jonge and Mark van der Loo (2013) <https://cran.r-project.org/doc/contrib/de_Jonge+van_der_Loo-Introduction_to_data_cleaning_with_R.pdf>) for customized analysis. It contains Boltzmann fitting for general kinetic analysis. See <https://www.github.com/yanxianUCSB/gen5helper> for more information, documentation and examples.

r-gace 1.0.0
Propagated dependencies: r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/vinoalles/GACE
Licenses: Expat
Build system: r
Synopsis: Generalized Adaptive Capped Estimator for Time Series Forecasting
Description:

This package provides deterministic forecasting for weekly, monthly, quarterly, and yearly time series using the Generalized Adaptive Capped Estimator. The method includes preprocessing for missing and extreme values, extraction of multiple growth components (including long-term, short-term, rolling, and drift-based signals), volatility-aware asymmetric capping, optional seasonal adjustment via damped and normalized seasonal factors, and a recursive forecast formulation with moderated growth. The package includes a user-facing forecasting interface and a plotting helper for visualization. Related forecasting background is discussed in Hyndman and Athanasopoulos (2021) <https://otexts.com/fpp3/> and Hyndman and Khandakar (2008) <doi:10.18637/jss.v027.i03>. The method extends classical extrapolative forecasting approaches and is suited for operational and business planning contexts where stability and interpretability are important.

r-genmeta 0.2.0
Propagated dependencies: r-pracma@2.4.6 r-matrix@1.7-4 r-mass@7.3-65 r-magic@1.6-1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GENMETA
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Implements Generalized Meta-Analysis Using Iterated Reweighted Least Squares Algorithm
Description:

Generalized meta-analysis is a technique for estimating parameters associated with a multiple regression model through meta-analysis of studies which may have information only on partial sets of the regressors. It estimates the effects of each variable while fully adjusting for all other variables that are measured in at least one of the studies. Using algebraic relationships between regression parameters in different dimensions, a set of moment equations is specified for estimating the parameters of a maximal model through information available on sets of parameter estimates from a series of reduced models available from the different studies. The specification of the equations requires a reference dataset to estimate the joint distribution of the covariates. These equations are solved using the generalized method of moments approach, with the optimal weighting of the equations taking into account uncertainty associated with estimates of the parameters of the reduced models. The proposed framework is implemented using iterated reweighted least squares algorithm for fitting generalized linear regression models. For more details about the method, please see pre-print version of the manuscript on generalized meta-analysis by Prosenjit Kundu, Runlong Tang and Nilanjan Chatterjee (2018) <doi:10.1093/biomet/asz030>.The current version (0.2.0) is updated to address some of the stability issues in the previous version (0.1).

r-govinfor 0.0.3
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-lubridate@1.9.4 r-janitor@2.2.1 r-httr2@1.2.1 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/blackerby/govinfoR
Licenses: Expat
Build system: r
Synopsis: 'GovInfo' API Wrapper
Description:

Access data provided by the United States Government Publishing Office (GPO) GovInfo API (<https://github.com/usgpo/api>).

r-glinvci 1.2.4
Propagated dependencies: r-rlang@1.1.6 r-plyr@1.8.9 r-optimx@2025-4.9 r-numderiv@2016.8-1.1 r-lbfgsb3c@2024-3.5 r-generics@0.1.4 r-bb@2019.10-1 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://git.sr.ht/~hckiang/glinvci
Licenses: GPL 3
Build system: r
Synopsis: Phylogenetic Comparative Methods with Uncertainty Estimates
Description:

This package provides a framework for analytically computing the asymptotic confidence intervals and maximum-likelihood estimates of a class of continuous-time Gaussian branching processes defined by Mitov V, Bartoszek K, Asimomitis G, Stadler T (2019) <doi:10.1016/j.tpb.2019.11.005>. The class of model includes the widely used Ornstein-Uhlenbeck and Brownian motion branching processes. The framework is designed to be flexible enough so that the users can easily specify their own sub-models, or re-parameterizations, and obtain the maximum-likelihood estimates and confidence intervals of their own custom models.

r-goffda 0.1.2
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-ks@1.15.1 r-glmnet@4.1-10 r-fda-usc@2.2.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/egarpor/goffda
Licenses: GPL 3
Build system: r
Synopsis: Goodness-of-Fit Tests for Functional Data
Description:

Implementation of several goodness-of-fit tests for functional data. Currently, mostly related with the functional linear model with functional/scalar response and functional/scalar predictor. The package allows for the replication of the data applications considered in Garcà a-Portugués, à lvarez-Liébana, à lvarez-Pérez and González-Manteiga (2021) <doi:10.1111/sjos.12486>.

r-ggraptr 1.3
Propagated dependencies: r-shiny@1.11.1 r-purrr@1.2.0 r-pacman@0.5.1 r-ggplot2@4.0.1 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=ggraptR
Licenses: GPL 2+
Build system: r
Synopsis: Allows Interactive Visualization of Data Through a Web Browser GUI
Description:

Intended for both technical and non-technical users to create interactive data visualizations through a web browser GUI without writing any code.

r-guerry 1.8.3
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/friendly/Guerry
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Maps, Data and Methods Related to Guerry (1833) "Moral Statistics of France"
Description:

Maps of France in 1830, multivariate datasets from A.-M. Guerry and others, and statistical and graphic methods related to Guerry's "Moral Statistics of France". The goal is to facilitate the exploration and development of statistical and graphic methods for multivariate data in a geospatial context of historical interest.

r-groupedhyperframe-random 0.2.2
Propagated dependencies: r-spatstat-random@3.4-3 r-spatstat-geom@3.6-1 r-mass@7.3-65 r-groupedhyperframe@0.3.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/tingtingzhan/groupedHyperframe.random
Licenses: GPL 2
Build system: r
Synopsis: Simulated Grouped Hyper Data Frame
Description:

An intuitive interface to simulate (1) superimposed (marked) point patterns with vectorized parameterization of random point pattern and distribution of marks; and (2) grouped hyper data frame based on population parameters and subject-specific random effects.

r-grex 1.9.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://nanx.me/grex/
Licenses: GPL 3+
Build system: r
Synopsis: Gene ID Mapping for Genotype-Tissue Expression (GTEx) Data
Description:

Convert Ensembl gene identifiers from Genotype-Tissue Expression (GTEx) data to identifiers in other annotation systems, including Entrez', HGNC', and UniProt'.

r-gtfsio 1.2.0
Propagated dependencies: r-zip@2.3.3 r-jsonlite@2.0.0 r-fs@1.6.6 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://r-transit.github.io/gtfsio/
Licenses: Expat
Build system: r
Synopsis: Read and Write General Transit Feed Specification (GTFS) Files
Description:

This package provides tools for the development of packages related to General Transit Feed Specification (GTFS) files. Establishes a standard for representing GTFS feeds using R data types. Provides fast and flexible functions to read and write GTFS feeds while sticking to this standard. Defines a basic gtfs class which is meant to be extended by packages that depend on it. And offers utility functions that support checking the structure of GTFS objects.

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