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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-ggbubbles 0.1.4
Propagated dependencies: 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=ggBubbles
Licenses: LGPL 3+
Build system: r
Synopsis: Mini Bubble Plots for Comparison of Discrete Data with 'ggplot2'
Description:

When comparing discrete data mini bubble plots allow displaying more information than traditional bubble plots via colour, shape or labels. Exact overlapping coordinates will be transformed so they surround the original point circularly without overlapping. This is implemented as a position_surround() function for ggplot2'.

r-gallery 1.0.0
Propagated dependencies: r-pracma@2.4.6 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gallery
Licenses: Expat
Build system: r
Synopsis: Generate Test Matrices for Numerical Experiments
Description:

Generates a variety of structured test matrices commonly used in numerical linear algebra and computational experiments. Includes well-known matrices for benchmarking and testing the performance, stability, and accuracy of linear algebra algorithms. Inspired by MATLAB gallery functions.

r-genpathmox 1.1
Propagated dependencies: r-matrixcalc@1.0-6 r-diagram@1.6.5 r-csem@0.6.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=genpathmox
Licenses: GPL 3
Build system: r
Synopsis: Pathmox Approach Segmentation Tree Analysis
Description:

It provides an interesting solution for handling a high number of segmentation variables in partial least squares structural equation modeling. The package implements the "Pathmox" algorithm (Lamberti, Sanchez, and Aluja,(2016)<doi:10.1002/asmb.2168>) including the F-coefficient test (Lamberti, Sanchez, and Aluja,(2017)<doi:10.1002/asmb.2270>) to detect the path coefficients responsible for the identified differences). The package also allows running the hybrid multi-group approach (Lamberti (2021) <doi:10.1007/s11135-021-01096-9>).

r-gemini-r 0.17.2
Propagated dependencies: r-rstudioapi@0.17.1 r-knitr@1.50 r-jsonlite@2.0.0 r-httr2@1.2.1 r-cli@3.6.5 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/jhk0530/gemini.R
Licenses: Expat
Build system: r
Synopsis: Interface for 'Google Gemini' API
Description:

This package provides a comprehensive interface for Google Gemini API, enabling users to access and utilize Gemini Large Language Model (LLM) functionalities directly from R. This package facilitates seamless integration with Google Gemini, allowing for advanced language processing, text generation, and other AI-driven capabilities within the R environment. For more information, please visit <https://ai.google.dev/docs/gemini_api_overview>.

r-graphsim 1.0.4
Propagated dependencies: r-mvtnorm@1.3-3 r-matrixcalc@1.0-6 r-matrix@1.7-4 r-igraph@2.2.1 r-gplots@3.2.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/TomKellyGenetics/graphsim/
Licenses: GPL 3
Build system: r
Synopsis: Simulate Expression Data from 'igraph' Networks
Description:

This package provides functions to develop simulated continuous data (e.g., gene expression) from a sigma covariance matrix derived from a graph structure in igraph objects. Intended to extend mvtnorm to take igraph structures rather than sigma matrices as input. This allows the use of simulated data that correctly accounts for pathway relationships and correlations. This allows the use of simulated data that correctly accounts for pathway relationships and correlations. Here we present a versatile statistical framework to simulate correlated gene expression data from biological pathways, by sampling from a multivariate normal distribution derived from a graph structure. This package allows the simulation of biological pathways from a graph structure based on a statistical model of gene expression. For example methods to infer biological pathways and gene regulatory networks from gene expression data can be tested on simulated datasets using this framework. This also allows for pathway structures to be considered as a confounding variable when simulating gene expression data to test the performance of genomic analyses.

r-ggebiplots 0.1.3
Propagated dependencies: r-scales@1.4.0 r-ggplot2@4.0.1 r-ggforce@0.5.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GGEBiplots
Licenses: GPL 3
Build system: r
Synopsis: GGE Biplots with 'ggplot2'
Description:

Genotype plus genotype-by-environment (GGE) biplots rendered using ggplot2'. Provides a command line interface to all of the functionality contained within the archived package GGEBiplotGUI'.

r-gllvm 2.0.5
Propagated dependencies: r-tmb@1.9.18 r-rcppeigen@0.3.4.0.2 r-nloptr@2.2.1 r-mgcv@1.9-4 r-matrix@1.7-4 r-mass@7.3-65 r-fishmod@0.29.2 r-alabama@2023.1.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://jenniniku.github.io/gllvm/
Licenses: GPL 2
Build system: r
Synopsis: Generalized Linear Latent Variable Models
Description:

Analysis of multivariate data using generalized linear latent variable models (gllvm). Estimation is performed using either the Laplace method, variational approximations, or extended variational approximations, implemented via TMB (Kristensen et al. (2016), <doi:10.18637/jss.v070.i05>).

r-glmtlp 2.0.2
Propagated dependencies: r-ggplot2@4.0.1 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://yuyangyy.com/glmtlp/
Licenses: GPL 3
Build system: r
Synopsis: Generalized Linear Models with Truncated Lasso Penalty
Description:

Extremely efficient procedures for fitting regularization path with l0, l1, and truncated lasso penalty for linear regression and logistic regression models. This version is a completely new version compared with our previous version, which was mainly based on R. New core algorithms are developed and are now written in C++ and highly optimized.

r-gsloid 0.2.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/benmarwick/gsloid
Licenses: Expat
Build system: r
Synopsis: Global Sea Level and Oxygen Isotope Data
Description:

This package contains published data sets for global benthic d18O data for 0-5.3 Myr <doi:10.1029/2004PA001071> and global sea levels based on marine sediment core data for 0-800 ka <doi:10.5194/cp-12-1-2016>.

r-gaparsimony 0.9.5
Propagated dependencies: r-iterators@1.0.14 r-foreach@1.5.2
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/jpison/GAparsimony
Licenses: GPL 2+
Build system: r
Synopsis: Searching Parsimony Models with Genetic Algorithms
Description:

Methodology that combines feature selection, model tuning, and parsimonious model selection with Genetic Algorithms (GA) proposed in Martinez-de-Pison (2015) <DOI:10.1016/j.asoc.2015.06.012>. To this objective, a novel GA selection procedure is introduced based on separate cost and complexity evaluations.

r-grates 1.7.1
Propagated dependencies: r-fastymd@0.1.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://www.reconverse.org/grates/
Licenses: Expat
Build system: r
Synopsis: Grouped Date Classes
Description:

This package provides a coherent interface and implementation for creating grouped date classes.

r-greedyexperimentaldesignjars 1.0
Dependencies: openjdk@25
Propagated dependencies: r-rjava@1.0-11
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GreedyExperimentalDesignJARs
Licenses: GPL 3
Build system: r
Synopsis: GreedyExperimentalDesign JARs
Description:

These are GreedyExperimentalDesign Java dependency libraries. Note: this package has no functionality of its own and should not be installed as a standalone package without GreedyExperimentalDesign.

r-ggx 0.1.1
Propagated dependencies: r-sets@1.0-25 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=ggx
Licenses: GPL 3
Build system: r
Synopsis: Natural Language Interface to 'ggplot2'
Description:

The ggplot2 package is the state-of-the-art toolbox for creating and formatting graphs. However, it is easy to forget how certain formatting commands are named and sometimes users find themselves asking: How do you rotate the x-axis labels again? Or how do you hide the legend...? This package allows users to issue natural language commands related to theme-related styling of plots (colors, font size and such), which then are translated into valid ggplot2 commands.

r-graphclust 1.3
Propagated dependencies: r-sclust@1.0 r-igraph@2.2.1 r-blockmodels@1.1.5
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=graphclust
Licenses: GPL 2
Build system: r
Synopsis: Hierarchical Graph Clustering for a Collection of Networks
Description:

Graph clustering using an agglomerative algorithm to maximize the integrated classification likelihood criterion and a mixture of stochastic block models. The method is described in the article "Model-based clustering of multiple networks with a hierarchical algorithm" by T. Rebafka (2022) <arXiv:2211.02314>.

r-grateful 0.3.0
Propagated dependencies: r-rstudioapi@0.17.1 r-rmarkdown@2.30 r-renv@1.1.5 r-remotes@2.5.0 r-knitr@1.50 r-desc@1.4.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://pakillo.github.io/grateful/
Licenses: Expat
Build system: r
Synopsis: Facilitate Citation of R Packages
Description:

Facilitates the citation of R packages used in analysis projects. Scans project for packages used, gets their citations, and produces a document with citations in the preferred bibliography format, ready to be pasted into reports or manuscripts. Alternatively, grateful can be used directly within an R Markdown or Quarto document.

r-gicf 1.0.1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gicf
Licenses: GPL 3
Build system: r
Synopsis: Penalised Likelihood Estimation of a Covariance Matrix
Description:

Penalised likelihood estimation of a covariance matrix via the ridge-regularised covglasso estimator described in Cibinel et al. (2024) <doi:10.48550/arXiv.2410.02403>. Based on the C++ code of the R package covglasso (by Michael Fop, <https://orcid.org/0000-0003-3936-2757>) and the R code of icf (by Mathias Drton, <https://orcid.org/0000-0001-5614-3025>) within the R package ggm'.

r-gnar 1.1.4
Propagated dependencies: r-wordcloud@2.6 r-viridis@0.6.5 r-rlang@1.1.6 r-matrixcalc@1.0-6 r-igraph@2.2.1 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-ggforce@0.5.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GNAR
Licenses: GPL 2
Build system: r
Synopsis: Methods for Fitting Network Time Series Models
Description:

Simulation of, and fitting models for, Generalised Network Autoregressive (GNAR) time series models which take account of network structure, potentially with exogenous variables. Such models are described in Knight et al. (2020) <doi:10.18637/jss.v096.i05> and Nason and Wei (2021) <doi:10.1111/rssa.12875>. Diagnostic tools for GNAR(X) models can be found in Nason et al. (2023) <doi:10.48550/arXiv.2312.00530>.

r-gsisdecoder 0.0.1
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/mrcaseb/gsisdecoder
Licenses: Expat
Build system: r
Synopsis: High Efficient Functions to Decode NFL Player IDs
Description:

This package provides a set of high efficient functions to decode identifiers of National Football League players.

r-gggibbous 0.1.1
Propagated dependencies: r-scales@1.4.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/mnbram/gggibbous
Licenses: GPL 3
Build system: r
Synopsis: Moon Charts, a Pie Chart Alternative
Description:

Moon charts are like pie charts except that the proportions are shown as crescent or gibbous portions of a circle, like the lit and unlit portions of the moon. As such, they work best with only one or two groups. gggibbous extends ggplot2 to allow for plotting multiple moon charts in a single panel and does not require a square coordinate system.

r-gptreeo 1.0.1
Propagated dependencies: r-r6@2.6.1 r-mlegp@3.1.10 r-hash@2.2.6.3 r-dicekriging@1.6.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GPTreeO
Licenses: Expat
Build system: r
Synopsis: Dividing Local Gaussian Processes for Online Learning Regression
Description:

We implement and extend the Dividing Local Gaussian Process algorithm by Lederer et al. (2020) <doi:10.48550/arXiv.2006.09446>. Its main use case is in online learning where it is used to train a network of local GPs (referred to as tree) by cleverly partitioning the input space. In contrast to a single GP, GPTreeO is able to deal with larger amounts of data. The package includes methods to create the tree and set its parameter, incorporating data points from a data stream as well as making joint predictions based on all relevant local GPs.

r-galts 1.3.2
Propagated dependencies: r-genalg@0.2.1 r-deoptim@2.2-8
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=galts
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Genetic Algorithms and C-Steps Based LTS (Least Trimmed Squares) Estimation
Description:

Includes the ga.lts() function that estimates LTS (Least Trimmed Squares) parameters using genetic algorithms and C-steps. ga.lts() constructs a genetic algorithm to form a basic subset and iterates C-steps as defined in Rousseeuw and van-Driessen (2006) to calculate the cost value of the LTS criterion. OLS (Ordinary Least Squares) regression is known to be sensitive to outliers. A single outlying observation can change the values of estimated parameters. LTS is a resistant estimator even the number of outliers is up to half of the data. This package is for estimating the LTS parameters with lower bias and variance in a reasonable time. Version >=1.3 includes the function medmad for fast outlier detection in linear regression.

r-glyparse 0.5.5
Propagated dependencies: r-stringr@1.6.0 r-rstackdeque@1.1.1 r-rlang@1.1.6 r-purrr@1.2.0 r-igraph@2.2.1 r-glyrepr@0.10.0 r-dplyr@1.1.4 r-cli@3.6.5 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://glycoverse.github.io/glyparse/
Licenses: Expat
Build system: r
Synopsis: Parsing Glycan Structure Text Representations
Description:

This package provides functions to parse glycan structure text representations into glyrepr glycan structures. Currently, it supports StrucGP-style, pGlyco-style, IUPAC-condensed, IUPAC-extended, IUPAC-short, WURCS, Linear Code, and GlycoCT format. It also provides an automatic parser to detect the format and parse the structure string.

r-gkwreg 2.1.14
Propagated dependencies: r-tmb@1.9.18 r-rcppeigen@0.3.4.0.2 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-numderiv@2016.8-1.1 r-magrittr@2.0.4 r-gridextra@2.3 r-gkwdist@1.1.2 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-formula@1.2-5
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/evandeilton/gkwreg
Licenses: Expat
Build system: r
Synopsis: Generalized Kumaraswamy Regression Models for Bounded Data
Description:

This package implements regression models for bounded continuous data in the open interval (0,1) using the five-parameter Generalized Kumaraswamy distribution. Supports modeling all distribution parameters (alpha, beta, gamma, delta, lambda) as functions of predictors through various link functions. Provides efficient maximum likelihood estimation via Template Model Builder ('TMB'), offering comprehensive diagnostics, model comparison tools, and simulation methods. Particularly useful for analyzing proportions, rates, indices, and other bounded response data with complex distributional features not adequately captured by simpler models.

r-groupwqs 0.0.3
Propagated dependencies: r-rsolnp@2.0.1 r-rjags@4-17 r-mass@7.3-65 r-glm2@1.2.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=groupWQS
Licenses: GPL 3
Build system: r
Synopsis: Grouped Weighted Quantile Sum Regression
Description:

Fits weighted quantile sum (WQS) regressions for one or more chemical groups with continuous or binary outcomes. Wheeler D, Czarnota J.(2016) <doi:10.1289/isee.2016.4698>.

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Total results: 68655