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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-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-glmsdata 1.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GLMsData
Licenses: GPL 2+
Build system: r
Synopsis: Generalized Linear Model Data Sets
Description:

Data sets from the book Generalized Linear Models with Examples in R by Dunn and Smyth.

r-gbmt 0.1.4
Propagated dependencies: 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=gbmt
Licenses: GPL 2
Build system: r
Synopsis: Group-Based Multivariate Trajectory Modeling
Description:

Estimation and analysis of group-based multivariate trajectory models (Nagin, 2018 <doi:10.1177/0962280216673085>; Magrini, 2022 <doi:10.1007/s10182-022-00437-9>). The package implements an Expectation-Maximization (EM) algorithm allowing unbalanced panel and missing values, and provides several functionalities for prediction and graphical representation.

r-grec 1.6.3
Propagated dependencies: r-terra@1.8-86 r-raster@3.6-32 r-lifecycle@1.0.4 r-imagine@2.1.3 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/LuisLauM/grec
Licenses: GPL 3+
Build system: r
Synopsis: Gradient-Based Recognition of Spatial Patterns in Environmental Data
Description:

This package provides algorithms for detection of spatial patterns from oceanographic data using image processing methods based on Gradient Recognition.

r-garray 1.1.2
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=garray
Licenses: GPL 3
Build system: r
Synopsis: Generalized Array Arithmetic for Ragged Arrays with Named Margins
Description:

Organize a so-called ragged array as generalized arrays, which is simply an array with sub-dimensions denoting the subdivision of dimensions (grouping of members within dimensions). By the margins (names of dimensions and sub-dimensions) in generalized arrays, operators and utility functions provided in this package automatically match the margins, doing map-reduce style parallel computation along margins. Generalized arrays are also cooperative to R's native functions that work on simple arrays.

r-goric 1.1-3
Propagated dependencies: r-quadprog@1.5-8 r-nlme@3.1-168 r-mvtnorm@1.3-3 r-matrix@1.7-4 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=goric
Licenses: GPL 2+
Build system: r
Synopsis: Generalized Order-Restricted Information Criterion
Description:

Generalized Order-Restricted Information Criterion (GORIC) value for a set of hypotheses in multivariate linear models and generalised linear models.

r-geojsonio 0.11.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/ropensci/geojsonio
Licenses: Expat
Build system: r
Synopsis: Convert Data from and to 'GeoJSON' or 'TopoJSON'
Description:

Convert data to GeoJSON or TopoJSON from various R classes, including vectors, lists, data frames, shape files, and spatial classes. geojsonio does not aim to replace packages like sp', rgdal', rgeos', but rather aims to be a high level client to simplify conversions of data from and to GeoJSON and TopoJSON'.

r-gremlins 0.2.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://GrossSBM.github.io/GREMLINS/
Licenses: GPL 3
Build system: r
Synopsis: Generalized Multipartite Networks
Description:

We define generalized multipartite networks as the joint observation of several networks implying some common pre-specified groups of individuals. The aim is to fit an adapted version of the popular stochastic block model to multipartite networks, as described in Bar-hen, Barbillon and Donnet (2020) <arXiv:1807.10138>.

r-gammafuncmodel 6.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gammaFuncModel
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Non-Linear Mixed Effects Model Based on the Gamma Function Form
Description:

Identifies biomarkers that exhibit differential response dynamics by time across groups and estimates kinetic properties of biomarkers.

r-gam-hp 0.0-5
Propagated dependencies: r-mgcv@1.9-4 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/laijiangshan/gam.hp
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Hierarchical Partitioning of Adjusted R2 and Explained Deviance for Generalized Additive Models
Description:

Conducts hierarchical partitioning to calculate individual contributions of each predictor towards adjusted R2 and explained deviance for generalized additive models based on output of gam() and bam() in mgcv package, applying the algorithm in this paper: Lai(2024) <doi:10.1016/j.pld.2024.06.002>.

r-ggstudent 0.1.2
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://github.com/helske/ggstudent
Licenses: GPL 2+
Build system: r
Synopsis: Continuous Confidence Interval Plots using t-Distribution
Description:

This package provides an extension to ggplot2 (Wickham, 2016, <doi:10.1007/978-3-319-24277-4>) for creating two types of continuous confidence interval plots (Violin CI and Gradient CI plots), typically for the sample mean. These plots contain multiple user-defined confidence areas with varying colours, defined by the underlying t-distribution used to compute standard confidence intervals for the mean of the normal distribution when the variance is unknown. Two types of plots are available, a gradient plot with rectangular areas, and a violin plot where the shape (horizontal width) is defined by the probability density function of the t-distribution. These visualizations are studied in (Helske, Helske, Cooper, Ynnerman, and Besancon, 2021) <doi:10.1109/TVCG.2021.3073466>.

r-glm-deploy 1.0.4
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/oscarcastrolopez/glm.deploy
Licenses: GPL 3+ FSDG-compatible
Build system: r
Synopsis: 'C' and 'Java' Source Code Generator for Fitted Glm Objects
Description:

This package provides two functions that generate source code implementing the predict function of fitted glm objects. In this version, code can be generated for either C or Java'. The idea is to provide a tool for the easy and fast deployment of glm predictive models into production. The source code generated by this package implements two function/methods. One of such functions implements the equivalent to predict(type="response"), while the second implements predict(type="link"). Source code is written to disk as a .c or .java file in the specified path. In the case of c, an .h file is also generated.

r-gamesga 1.1.3.7
Propagated dependencies: r-shiny@1.11.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://bradduthie.github.io/gamesGA/
Licenses: Expat
Build system: r
Synopsis: Genetic Algorithm for Sequential Symmetric Games
Description:

Finds adaptive strategies for sequential symmetric games using a genetic algorithm. Currently, any symmetric two by two matrix is allowed, and strategies can remember the history of an opponent's play from the previous three rounds of moves in iterated interactions between players. The genetic algorithm returns a list of adaptive strategies given payoffs, and the mean fitness of strategies in each generation.

r-geneviewer 0.1.11
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/nvelden/geneviewer
Licenses: Expat
Build system: r
Synopsis: Gene Cluster Visualizations
Description:

This package provides tools for plotting gene clusters and transcripts by importing data from GenBank, FASTA, and GFF files. It performs BLASTP and MUMmer alignments [Altschul et al. (1990) <doi:10.1016/S0022-2836(05)80360-2>; Delcher et al. (1999) <doi:10.1093/nar/27.11.2369>] and displays results on gene arrow maps. Extensive customization options are available, including legends, labels, annotations, scales, colors, tooltips, and more.

r-ggpackets 0.2.2
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/dgkf/ggpackets
Licenses: Expat
Build system: r
Synopsis: Package Plot Layers for Easier Portability and Modularization
Description:

Create groups of ggplot2 layers that can be easily migrated from one plot to another, reducing redundant code and improving the ability to format many plots that draw from the same source ggpacket layers.

r-gmpro 0.1.0
Propagated dependencies: r-transport@0.15-4 r-igraph@2.2.1 r-combinat@0.0-8
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://arxiv.org/abs/2006.03284
Licenses: GPL 2
Build system: r
Synopsis: Graph Matching with Degree Profiles
Description:

This package provides functions for graph matching via nodes degree profiles are provided in this package. The models we can handle include Erdos-Renyi random graphs and stochastic block models(SBM). More details are in the reference paper: Yaofang Hu, Wanjie Wang and Yi Yu (2020) <arXiv:2006.03284>.

r-gsd 1.0.0
Propagated dependencies: r-matrix@1.7-4 r-igraph@2.2.1 r-ggplot2@4.0.1 r-ebayesthresh@1.4-12
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GSD
Licenses: GPL 2+
Build system: r
Synopsis: Graph Signal Decomposition
Description:

Graph signals residing on the vertices of a graph have recently gained prominence in research in various fields. Many methodologies have been proposed to analyze graph signals by adapting classical signal processing tools. Recently, several notable graph signal decomposition methods have been proposed, which include graph Fourier decomposition based on graph Fourier transform, graph empirical mode decomposition, and statistical graph empirical mode decomposition. This package efficiently implements multiscale analysis applicable to various fields, and offers an effective tool for visualizing and decomposing graph signals. For the detailed methodology, see Ortega et al. (2018) <doi:10.1109/JPROC.2018.2820126>, Shuman et al. (2013) <doi:10.1109/MSP.2012.2235192>, Tremblay et al. (2014) <https://www.eurasip.org/Proceedings/Eusipco/Eusipco2014/HTML/papers/1569922141.pdf>, and Cho et al. (2024) "Statistical graph empirical mode decomposition by graph denoising and boundary treatment".

r-gratis 1.0.8
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/ykang/gratis
Licenses: GPL 3
Build system: r
Synopsis: Generating Time Series with Diverse and Controllable Characteristics
Description:

Generates synthetic time series based on various univariate time series models including MAR and ARIMA processes. Kang, Y., Hyndman, R.J., Li, F.(2020) <doi:10.1002/sam.11461>.

r-gitlink 0.1.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/colearendt/gitlink
Licenses: Expat
Build system: r
Synopsis: Add 'Git' Links to Your Web Based Assets
Description:

This package provides helpers to add Git links to shiny applications, rmarkdown documents, and other HTML based resources. This is most commonly used for GitHub ribbons.

r-gretel 0.0.1
Propagated dependencies: r-resistorarray@1.0-32 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/davidbuch/gretel
Licenses: GPL 3
Build system: r
Synopsis: Generalized Path Analysis for Social Networks
Description:

The social network literature features numerous methods for assigning value to paths as a function of their ties. gretel systemizes these approaches, casting them as instances of a generalized path value function indexed by a penalty parameter. The package also calculates probabilistic path value and identifies optimal paths in either value framework. Finally, proximity matrices can be generated in these frameworks that capture high-order connections overlooked in primitive adjacency sociomatrices. Novel methods are described in Buch (2019) <https://davidbuch.github.io/analyzing-networks-with-gretel.html>. More traditional methods are also implemented, as described in Yang, Knoke (2001) <doi:10.1016/S0378-8733(01)00043-0>.

r-gamreg 0.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gamreg
Licenses: GPL 2+
Build system: r
Synopsis: Robust and Sparse Regression via Gamma-Divergence
Description:

Robust regression via gamma-divergence with L1, elastic net and ridge.

r-ggthemeul 0.1.3
Propagated dependencies: 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=ggthemeUL
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: 'ggplot' Theme for University of Ljubljana
Description:

Designed to customize ggplot graphics according to the institutional identity of the University of Ljubljana.

r-gamlss-cens 5.0-7
Propagated dependencies: r-survival@3.8-3 r-gamlss-dist@6.1-1 r-gamlss@5.5-0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://www.gamlss.com/
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Fitting an Interval Response Variable Using `gamlss.family' Distributions
Description:

This is an add-on package to GAMLSS. The purpose of this package is to allow users to fit interval response variables in GAMLSS models. The main function gen.cens() generates a censored version of an existing GAMLSS family distribution.

r-gmwmx2 0.0.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/SMAC-Group/gmwmx2
Licenses: AGPL 3
Build system: r
Synopsis: Estimate Functional and Stochastic Parameters of Linear Models with Correlated Residuals and Missing Data
Description:

This package implements the Generalized Method of Wavelet Moments with Exogenous Inputs estimator (GMWMX) presented in Voirol, L., Xu, H., Zhang, Y., Insolia, L., Molinari, R. and Guerrier, S. (2024) <doi:10.48550/arXiv.2409.05160>. The GMWMX estimator allows to estimate functional and stochastic parameters of linear models with correlated residuals in presence of missing data. The gmwmx2 package provides functions to load and plot Global Navigation Satellite System (GNSS) data from the Nevada Geodetic Laboratory and functions to estimate linear model model with correlated residuals in presence of missing data.

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