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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-gfd 0.3.3
Propagated dependencies: r-tippy@0.1.0 r-shinywidgets@0.9.0 r-shinythemes@1.2.0 r-shinyjs@2.1.0 r-shiny@1.11.1 r-plyr@1.8.9 r-plotrix@3.8-13 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=GFD
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Tests for General Factorial Designs
Description:

Implemented are the Wald-type statistic, a permuted version thereof as well as the ANOVA-type statistic for general factorial designs, even with non-normal error terms and/or heteroscedastic variances, for crossed designs with an arbitrary number of factors and nested designs with up to three factors. Friedrich et al. (2017) <doi:10.18637/jss.v079.c01>.

r-gpl2025 1.0.1
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=GPL2025
Licenses: Artistic License 2.0
Build system: r
Synopsis: Convert Chip ID of the GPL2015 into GeneBank Accession and ENTREZID
Description:

Convert the chip ID of GPL2025 <https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GPL2025> to GeneBank Accession and ENTREZID <http://www.ncbi.nlm.nih.gov/gene>.

r-gpcp 0.1.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gpcp
Licenses: GPL 3+
Build system: r
Synopsis: Genomic Prediction of Cross Performance
Description:

This function performs genomic prediction of cross performance using genotype and phenotype data. It processes data in several steps including loading necessary software, converting genotype data, processing phenotype data, fitting mixed models, and predicting cross performance based on weighted marker effects. For more information, see Labroo et al. (2023) <doi:10.1007/s00122-023-04377-z>.

r-ggcharts 0.2.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/thomas-neitmann/ggcharts
Licenses: Expat
Build system: r
Synopsis: Shorten the Distance from Data Visualization Idea to Actual Plot
Description:

Streamline the creation of common charts by taking care of a lot of data preprocessing and plot customization for the user. Provides a high-level interface to create plots using ggplot2'.

r-genomictools-filehandler 0.1.5.9
Propagated dependencies: r-snpstats@1.60.0 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=GenomicTools.fileHandler
Licenses: GPL 2+
Build system: r
Synopsis: File Handlers for Genomic Data Analysis
Description:

This package provides a collection of I/O tools for handling the most commonly used genomic datafiles, like fasta/-q, bed, gff, gtf, ped/map and vcf.

r-growr 1.3.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/kuadrat/growR
Licenses: Expat
Build system: r
Synopsis: Implementation of the Vegetation Model ModVege
Description:

Run grass growth simulations using a grass growth model based on ModVege (Jouven, M., P. Carrère, and R. Baumont "Model Predicting Dynamics of Biomass, Structure and Digestibility of Herbage in Managed Permanent Pastures. 1. Model Description." (2006) <doi:10.1111/j.1365-2494.2006.00515.x>). The implementation in this package contains a few additions to the above cited version of ModVege, such as simulations of management decisions, and influences of snow cover. As such, the model is fit to simulate grass growth in mountainous regions, such as the Swiss Alps. The package also contains routines for calibrating the model and helpful tools for analysing model outputs and performance.

r-gofcat 0.1.2
Propagated dependencies: r-vgam@1.1-13 r-stringr@1.6.0 r-reshape@0.8.10 r-matrix@1.7-4 r-epir@2.0.91 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gofcat
Licenses: GPL 2
Build system: r
Synopsis: Goodness-of-Fit Measures for Categorical Response Models
Description:

This package provides a post-estimation method for categorical response models (CRM). Inputs from objects of class serp(), clm(), polr(), multinom(), mlogit(), vglm() and glm() are currently supported. Available tests include the Hosmer-Lemeshow tests for the binary, multinomial and ordinal logistic regression; the Lipsitz and the Pulkstenis-Robinson tests for the ordinal models. The proportional odds, adjacent-category, and constrained continuation-ratio models are particularly supported at ordinal level. Tests for the proportional odds assumptions in ordinal models are also possible with the Brant and the Likelihood-Ratio tests. Moreover, several summary measures of predictive strength (Pseudo R-squared), and some useful error metrics, including, the brier score, misclassification rate and logloss are also available for the binary, multinomial and ordinal models. Ugba, E. R. and Gertheiss, J. (2018) <http://www.statmod.org/workshops_archive_proceedings_2018.html>.

r-greekletters 1.0.4
Propagated dependencies: r-stringr@1.6.0 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=greekLetters
Licenses: GPL 2+
Build system: r
Synopsis: Routines for Writing Greek Letters and Mathematical Symbols on the 'RStudio' and 'RGui'
Description:

An implementation of functions to display Greek letters on the RStudio (include subscript and superscript indexes) and RGui (without subscripts and only with superscript 1, 2 or 3; because RGui doesn't support printing the corresponding Unicode characters as a string: all subscripts ranging from 0 to 9 and superscripts equal to 0, 4, 5, 6, 7, 8 or 9). The functions in this package do not work properly on the R console. Characters are used via Unicode and encoded as UTF-8 to ensure that they can be viewed on all operating systems. Other characters related to mathematics are included, such as the infinity symbol. All this accessible from very simple commands. This is a package that can be used for teaching purposes, the statistical notation for hypothesis testing can be written from this package and so it is possible to build a course from the swirlify package. Another utility of this package is to create new summary functions that contain the functional form of the model adjusted with the Greek letters, thus making the transition from statistical theory to practice easier. In addition, it is a natural extension of the clisymbols package.

r-gnorm 1.0.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: http://github.com/maryclare/gnorm
Licenses: GPL 2+
Build system: r
Synopsis: Generalized Normal/Exponential Power Distribution
Description:

This package provides functions for obtaining generalized normal/exponential power distribution probabilities, quantiles, densities and random deviates. The generalized normal/exponential power distribution was introduced by Subbotin (1923) and rediscovered by Nadarajah (2005). The parametrization given by Nadarajah (2005) <doi:10.1080/02664760500079464> is used.

r-gglycan 0.0.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gglycan
Licenses: Artistic License 2.0
Build system: r
Synopsis: Plot Glycans using 'ggplot2'
Description:

Plot glycans following the Symbol Nomenclature for Glycans (SNFG) using ggplot2'. SNFG provides a standardized visual representation of glycan structures.

r-gitai 0.1.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/r-world-devs/GitAI
Licenses: Expat
Build system: r
Synopsis: Extracts Knowledge from 'Git' Repositories
Description:

Scan multiple Git repositories, pull specified files content and process it with large language models. You can summarize the content in specific way, extract information and data, or find answers to your questions about the repositories. The output can be stored in vector database and used for semantic search or as a part of a RAG (Retrieval Augmented Generation) prompt.

r-ghrexplore 0.2.2
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://gitlab.earth.bsc.es/ghr/ghrexplore
Licenses: GPL 2+
Build system: r
Synopsis: Exploratory Analysis of Temporal and Spatio-Temporal Health Data
Description:

This package provides a collection of commonly used visualizations of temporal and spatio-temporal health data including case counts, incidence rates, and covariates. The available plot types include time series, heatmaps, seasonality plots, maps and more. The package supports standard data transformations such as temporal and spatial aggregations, while offering extensive customization options for the resulting figures.

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-guildai 0.0.1
Dependencies: python@3.11.14
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://guildai.github.io/guildai-r/
Licenses: ASL 2.0
Build system: r
Synopsis: Track Machine Learning Experiments
Description:

Guild AI is an open-source tool for managing machine learning experiments. It's for scientists, engineers, and researchers who want to run scripts, compare results, measure progress, and automate machine learning workflow. Guild AI is a light weight, external tool that runs locally. It works with any framework, doesn't require any changes to your code, or access to any web services. Users can easily record experiment metadata, track model changes, manage experiment artifacts, tune hyperparameters, and share results. Guild AI combines features from Git', SQLite', and Make to provide a lab notebook for machine learning.

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-grainscape 0.5.0
Propagated dependencies: r-sp@2.2-0 r-sf@1.0-23 r-rcpp@1.1.0 r-raster@3.6-32 r-igraph@2.2.1 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://www.alexchubaty.com/grainscape/
Licenses: GPL 2+
Build system: r
Synopsis: Landscape Connectivity, Habitat, and Protected Area Networks
Description:

Given a landscape resistance surface, creates minimum planar graph (Fall et al. (2007) <doi:10.1007/s10021-007-9038-7>) and grains of connectivity (Galpern et al. (2012) <doi:10.1111/j.1365-294X.2012.05677.x>) models that can be used to calculate effective distances for landscape connectivity at multiple scales. Documentation is provided by several vignettes, and a paper (Chubaty, Galpern & Doctolero (2020) <doi:10.1111/2041-210X.13350>).

r-gmoip 1.5.6
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-gramquad 0.1.1
Propagated dependencies: r-pracma@2.4.6
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://gitlab.com/iagogv/GramQuad
Licenses: GPL 3
Build system: r
Synopsis: Gram Quadrature
Description:

Numerical integration with Gram polynomials (based on <arXiv:2106.14875> [math.NA] 28 Jun 2021, by Irfan Muhammad [School of Computer Science, University of Birmingham, UK]).

r-gpindex 0.6.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://marberts.github.io/gpindex/
Licenses: Expat
Build system: r
Synopsis: Generalized Price and Quantity Indexes
Description:

This package provides tools to build and work with bilateral generalized-mean price indexes (and by extension quantity indexes), and indexes composed of generalized-mean indexes (e.g., superlative quadratic-mean indexes, GEKS). Covers the core mathematical machinery for making bilateral price indexes, computing price relatives, detecting outliers, and decomposing indexes, with wrappers for all common (and many uncommon) index-number formulas. Implements and extends many of the methods in Balk (2008, <doi:10.1017/CBO9780511720758>), von der Lippe (2007, <doi:10.3726/978-3-653-01120-3>), and the CPI manual (2020, <doi:10.5089/9781484354841.069>).

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@2.1.1 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-garch-x 1.0
Propagated dependencies: r-pso@1.0.4 r-gensa@1.1.15 r-ga@3.2.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GARCH.X
Licenses: GPL 2+
Build system: r
Synopsis: Estimation and Exogenous Covariate Selection for GARCH-X Models
Description:

Estimates the parameters of a GARCH-X model with exogenous covariates, performs hypothesis tests for the parameters returning the p-values, and uses False Discovery Rate p-value corrections to select the exogenous variables.

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-ggbrick 0.3.2
Propagated dependencies: r-purrr@1.2.0 r-glue@1.8.0 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=ggbrick
Licenses: Expat
Build system: r
Synopsis: Waffle Style Chart with a Brick Layout in 'ggplot2'
Description:

This package provides a new take on the bar chart. Similar to a waffle style chart but instead of squares the layout resembles a brick wall.

r-geoweightedmodel 1.0.3
Propagated dependencies: r-spdep@1.4-1 r-sp@2.2-0 r-shinywidgets@0.9.0 r-shinyjs@2.1.0 r-shinydashboard@0.7.3 r-shinybusy@0.3.3 r-shinybs@0.61.1 r-shinyalert@3.1.0 r-shiny@1.11.1 r-readxl@1.4.5 r-raster@3.6-32 r-gwmodel@2.4-1 r-dt@0.34.0 r-dplyr@1.1.4 r-cartography@3.1.5 r-beepr@2.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GeoWeightedModel
Licenses: GPL 3
Build system: r
Synopsis: User-Friendly Interface for Geographically-Weighted Models
Description:

This package contains the development of a tool that provides a web-based graphical user interface (GUI) to perform Techniques from a subset of spatial statistics known as geographically weighted (GW) models. Contains methods described by Brunsdon et al., 1996 <doi:10.1111/j.1538-4632.1996.tb00936.x>, Brunsdon et al., 2002 <doi:10.1016/s0198-9715(01)00009-6>, Harris et al., 2011 <doi:10.1080/13658816.2011.554838>, Brunsdon et al., 2007 <doi:10.1111/j.1538-4632.2007.00709.x>.

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