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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-gcestim 0.1.0
Propagated dependencies: r-zoo@1.8-14 r-viridis@0.6.5 r-simstudy@0.9.1 r-shinywidgets@0.9.0 r-shinydashboardplus@2.0.6 r-shiny@1.11.1 r-rstudioapi@0.17.1 r-rsolnp@2.0.1 r-rlang@1.1.6 r-readxl@1.4.5 r-pracma@2.4.6 r-plotly@4.11.0 r-pathviewr@1.1.8 r-optimx@2025-4.9 r-optimparallel@1.0-2 r-miniui@0.1.2 r-meboot@1.4-9.4 r-magrittr@2.0.4 r-lbfgsb3c@2024-3.5 r-lbfgs@1.2.1.2 r-latex2exp@0.9.6 r-hdrcde@3.4 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-ggdist@3.3.3 r-dt@0.34.0 r-downlit@0.4.5 r-data-table@1.17.8 r-clustergeneration@1.3.8 r-bayestestr@0.17.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/jorgevazcabral/GCEstim
Licenses: GPL 3
Synopsis: Regression Coefficients Estimation Using the Generalized Cross Entropy
Description:

Estimation and inference using the Generalized Maximum Entropy (GME) and Generalized Cross Entropy (GCE) framework, a flexible method for solving ill-posed inverse problems and parameter estimation under uncertainty (Golan, Judge, and Miller (1996, ISBN:978-0471145925) "Maximum Entropy Econometrics: Robust Estimation with Limited Data"). The package includes routines for generalized cross entropy estimation of linear models including the implementation of a GME-GCE two steps approach. Diagnostic tools, and options to incorporate prior information through support and prior distributions are available (Macedo, Cabral, Afreixo, Macedo and Angelelli (2025) <doi:10.1007/978-3-031-97589-9_21>). In particular, support spaces can be defined by the user or be internally computed based on the ridge trace or on the distribution of standardized regression coefficients. Different optimization methods for the objective function can be used. An adaptation of the normalized entropy aggregation (Macedo and Costa (2019) <doi:10.1007/978-3-030-26036-1_2> "Normalized entropy aggregation for inhomogeneous large-scale data") and a two-stage maximum entropy approach for time series regression (Macedo (2022) <doi:10.1080/03610918.2022.2057540>) are also available. Suitable for applications in econometrics, health, signal processing, and other fields requiring robust estimation under data constraints.

r-geostatsp 2.0.8
Propagated dependencies: r-terra@1.8-86 r-numderiv@2016.8-1.1 r-matrix@1.7-4 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=geostatsp
Licenses: GPL 2+ GPL 3+
Synopsis: Geostatistical Modelling with Likelihood and Bayes
Description:

Geostatistical modelling facilities using SpatRaster and SpatVector objects are provided. Non-Gaussian models are fit using INLA', and Gaussian geostatistical models use Maximum Likelihood Estimation. For details see Brown (2015) <doi:10.18637/jss.v063.i12>. The RandomFields package is available at <https://www.wim.uni-mannheim.de/schlather/publications/software>.

r-ggview 0.2.2
Propagated dependencies: r-rstudioapi@0.17.1 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/idmn/ggview
Licenses: GPL 2 FSDG-compatible
Synopsis: 'ggplot2' Picture Previewer
Description:

Preview what a ggplot2 plot would look like if you save it to a file. Attach picture dimensions as a canvas() element and get an instant preview. These dimensions will then be used when you save the plot.

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
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-greybox 2.0.6
Propagated dependencies: r-zoo@1.8-14 r-xtable@1.8-4 r-texreg@1.39.4 r-statmod@1.5.1 r-rcpp@1.1.0 r-pracma@2.4.6 r-nloptr@2.2.1 r-generics@0.1.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/config-i1/greybox
Licenses: LGPL 2.1
Synopsis: Toolbox for Model Building and Forecasting
Description:

This package implements functions and instruments for regression model building and its application to forecasting. The main scope of the package is in variables selection and models specification for cases of time series data. This includes promotional modelling, selection between different dynamic regressions with non-standard distributions of errors, selection based on cross validation, solutions to the fat regression model problem and more. Models developed in the package are tailored specifically for forecasting purposes. So as a results there are several methods that allow producing forecasts from these models and visualising them.

r-geovol 1.1
Propagated dependencies: r-zoo@1.8-14
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://sites.google.com/site/susanacamposmartins/
Licenses: GPL 2+
Synopsis: Geopolitical Volatility (GEOVOL) Modelling
Description:

Simulation, estimation and testing for geopolitical volatility (GEOVOL) based on the global common volatility model of Engle and Campos-Martins (2023) <doi:10.1016/j.jfineco.2022.09.009>. GEOVOL is modelled as a latent multiplicative volatility factor with heterogeneous factor loadings. Estimation is carried out as a maximization-maximization procedure, where GEOVOL and the GEOVOL loadings are estimated iteratively until convergence.

r-geofi 1.1.0
Propagated dependencies: r-yaml@2.3.10 r-xml2@1.5.0 r-sf@1.0-23 r-rlang@1.1.6 r-purrr@1.2.0 r-jsonlite@2.0.0 r-httr2@1.2.1 r-httr@1.4.7 r-httpcache@1.2.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://ropengov.github.io/geofi/
Licenses: FreeBSD
Synopsis: Access Finnish Geospatial Data
Description:

Designed to simplify geospatial data access from the Statistics Finland Web Feature Service API <https://geo.stat.fi/geoserver/index.html>, the geofi package offers researchers and analysts a set of tools to obtain and harmonize administrative spatial data for a wide range of applications, from urban planning to environmental research. The package contains annually updated time series of municipality key datasets that can be used for data aggregation and language translations.

r-gde 0.2.1
Propagated dependencies: r-xml@3.99-0.20 r-stringr@1.6.0 r-shinywidgets@0.9.0 r-shinycssloaders@1.1.0 r-shiny@1.11.1 r-rsqlite@2.4.4 r-readr@2.1.6 r-r-utils@2.13.0 r-progress@1.2.3 r-leaflet@2.2.3 r-jsonlite@2.0.0 r-httr@1.4.7 r-ggplot2@4.0.1 r-dt@0.34.0 r-dplyr@1.1.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/Smithsonian/GBIF-Dataset-Explorer
Licenses: ASL 2.0
Synopsis: GBIF Dataset Explorer
Description:

This package provides functions to explore datasets from the Global Biodiversity Information Facility (GBIF - <https://www.gbif.org/>) using a Shiny interface.

r-gd 10.8
Propagated dependencies: r-bammtools@2.1.12
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/ausgis/GD
Licenses: GPL 3
Synopsis: Geographical Detectors for Assessing Spatial Factors
Description:

Geographical detectors for measuring spatial stratified heterogeneity, as described in Jinfeng Wang (2010) <doi:10.1080/13658810802443457> and Jinfeng Wang (2016) <doi:10.1016/j.ecolind.2016.02.052>. Includes the optimal discretization of continuous data, four primary functions of geographical detectors, comparison of size effects of spatial unit and the visualizations of results. To use the package and to refer the descriptions of the package, methods and case datasets, please cite Yongze Song (2020) <doi:10.1080/15481603.2020.1760434>. The model has been applied in factor exploration of road performance and multi-scale spatial segmentation for network data, as described in Yongze Song (2018) <doi:10.3390/rs10111696> and Yongze Song (2020) <doi:10.1109/TITS.2020.3001193>, respectively.

r-ggpval 0.2.5
Propagated dependencies: r-ggplot2@4.0.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/s6juncheng/ggpval
Licenses: GPL 3
Synopsis: Annotate Statistical Tests for 'ggplot2'
Description:

Automatically performs desired statistical tests (e.g. wilcox.test(), t.test()) to compare between groups, and adds the resulting p-values to the plot with an annotation bar. Visualizing group differences are frequently performed by boxplots, bar plots, etc. Statistical test results are often needed to be annotated on these plots. This package provides a convenient function that works on ggplot2 objects, performs the desired statistical test between groups of interest and annotates the test results on the plot.

r-gsdesign 3.8.0
Propagated dependencies: r-xtable@1.8-4 r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-r2rtf@1.2.0 r-magrittr@2.0.4 r-gt@1.2.0 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://keaven.github.io/gsDesign/
Licenses: GPL 3+
Synopsis: Group Sequential Design
Description:

Derives group sequential clinical trial designs and describes their properties. Particular focus on time-to-event, binary, and continuous outcomes. Largely based on methods described in Jennison, Christopher and Turnbull, Bruce W., 2000, "Group Sequential Methods with Applications to Clinical Trials" ISBN: 0-8493-0316-8.

r-geomtextpath 0.2.0
Propagated dependencies: r-vctrs@0.6.5 r-textshaping@1.0.4 r-systemfonts@1.3.1 r-scales@1.4.0 r-rlang@1.1.6 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://allancameron.github.io/geomtextpath/
Licenses: Expat
Synopsis: Curved Text in 'ggplot2'
Description:

This package provides a ggplot2 extension that allows text to follow curved paths. Curved text makes it easier to directly label paths or neatly annotate in polar co-ordinates.

r-godley 0.2.2
Propagated dependencies: r-visnetwork@2.1.4 r-vecsets@1.4 r-vctrs@0.6.5 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rootsolve@1.8.2.4 r-rlang@1.1.6 r-purrr@1.2.0 r-plotly@4.11.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-igraph@2.2.1 r-dplyr@1.1.4 r-data-table@1.17.8 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://gamrot.github.io/godley/
Licenses: GPL 3+
Synopsis: Stock-Flow-Consistent Model Simulator
Description:

Define, simulate, and validate stock-flow consistent (SFC) macroeconomic models. The godley R package offers tools to dynamically define model structures by adding variables and specifying governing systems of equations. With it, users can analyze how different macroeconomic structures affect key variables, perform parameter sensitivity analyses, introduce policy shocks, and visualize resulting economic scenarios. The accounting structure of SFC models follows the approach outlined in the seminal study by Godley and Lavoie (2007, ISBN:978-1-137-08599-3), ensuring a comprehensive integration of all economic flows and stocks. The algorithms implemented to solve the models are based on methodologies from Kinsella and O'Shea (2010) <doi:10.2139/ssrn.1729205>, Peressini and Sullivan (1988, ISBN:0-387-96614-5), and contributions by Joao Macalos.

r-gwi 1.0.2
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GWI
Licenses: GPL 3
Synopsis: Count and Continuous Generalized Variability Indexes
Description:

Firstly, both functions of the univariate Poisson dispersion index (DI) for count data and the univariate exponential variation index (VI) for nonnegative continuous data are performed. Next, other functions of univariate indexes such the binomial dispersion index (DIb), the negative binomial dispersion index (DInb) and the inverse Gaussian variation index (VIiG) are given. Finally, we are computed some multivariate versions of these functions such that the generalized dispersion index (GDI) with its marginal one (MDI) and the generalized variation index (GVI) with its marginal one (MVI) too.

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+
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-geocacher 0.1.0
Propagated dependencies: r-tibble@3.3.0 r-threewords@0.1.0 r-stringr@1.6.0 r-magrittr@2.0.4 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=geocacheR
Licenses: GPL 3
Synopsis: Tools for Geocaching
Description:

This package provides tools for solving common geocaching puzzle types, and other Geocaching-related tasks.

r-generaloaxaca 1.0
Propagated dependencies: r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GeneralOaxaca
Licenses: GPL 2+
Synopsis: Blinder-Oaxaca Decomposition for Generalized Linear Model
Description:

Perform the Blinder-Oaxaca decomposition for generalized linear model with bootstrapped standard errors. The twofold and threefold decomposition are given, even the generalized linear model output in each group.

r-gmpoly 1.1.0
Propagated dependencies: r-purrr@1.2.0 r-mvp@1.0-18 r-gmp@0.7-5 r-english@1.2-6
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/stla/gmpoly
Licenses: GPL 3
Synopsis: Multivariate Polynomials with Rational Coefficients
Description:

Symbolic calculation (addition or multiplication) and evaluation of multivariate polynomials with rational coefficients.

r-gifti 0.8.0
Propagated dependencies: r-xml2@1.5.0 r-r-utils@2.13.0 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gifti
Licenses: GPL 2
Synopsis: Reads in 'Neuroimaging' 'GIFTI' Files with Geometry Information
Description:

This package provides functions to read in the geometry format under the Neuroimaging Informatics Technology Initiative ('NIfTI'), called GIFTI <https://www.nitrc.org/projects/gifti/>. These files contain surfaces of brain imaging data.

r-gmdatabase 0.5.1
Propagated dependencies: r-shiny@1.11.1 r-rmysql@0.11.1 r-foreach@1.5.2 r-digest@0.6.39 r-dbi@1.2.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gmDatabase
Licenses: GPL 2+ LGPL 2.0+
Synopsis: Accessing a Geometallurgical Database with R
Description:

This package provides a template for a geometallurgical database and a fast and easy interface for accessing it.

r-genecycle 1.1.6
Propagated dependencies: r-mass@7.3-65 r-longitudinal@1.1.13 r-fdrtool@1.2.18
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GeneCycle
Licenses: GPL 3+
Synopsis: Identification of Periodically Expressed Genes
Description:

The GeneCycle package implements the approaches of Wichert et al. (2004) <doi:10.1093/bioinformatics/btg364>, Ahdesmaki et al. (2005) <doi:10.1186/1471-2105-6-117> and Ahdesmaki et al. (2007) <DOI:10.1186/1471-2105-8-233> for detecting periodically expressed genes from gene expression time series data.

r-greed 0.6.2
Propagated dependencies: r-rspectra@0.16-2 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrix@1.7-4 r-listenv@0.10.0 r-gtable@0.3.6 r-gridextra@2.3 r-ggplot2@4.0.1 r-future@1.68.0 r-cli@3.6.5 r-cba@0.2-25
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://comeetie.github.io/greed/
Licenses: GPL 2+ GPL 3+
Synopsis: Clustering and Model Selection with the Integrated Classification Likelihood
Description:

An ensemble of algorithms that enable the clustering of networks and data matrices (such as counts, categorical or continuous) with different type of generative models. Model selection and clustering is performed in combination by optimizing the Integrated Classification Likelihood (which is equivalent to minimizing the description length). Several models are available such as: Stochastic Block Model, degree corrected Stochastic Block Model, Mixtures of Multinomial, Latent Block Model. The optimization is performed thanks to a combination of greedy local search and a genetic algorithm (see <arXiv:2002:11577> for more details).

r-glrth 0.2.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gLRTH
Licenses: GPL 3
Synopsis: Genome-Wide Association and Linkage Analysis under Heterogeneity
Description:

Likelihood ratio tests for genome-wide association and genome-wide linkage analysis under heterogeneity.

r-gfisher 0.2.0
Propagated dependencies: r-mvtnorm@1.3-3 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=GFisher
Licenses: GPL 2
Synopsis: Generalized Fisher's Combination Tests Under Dependence
Description:

Accurate and computationally efficient p-value calculation methods for a general family of Fisher type statistics (GFisher). The GFisher covers Fisher's combination, Good's statistic, Lancaster's statistic, weighted Z-score combination, etc. It allows a flexible weighting scheme, as well as an omnibus procedure that automatically adapts proper weights and degrees of freedom to a given data. The new p-value calculation methods are based on novel ideas of moment-ratio matching and joint-distribution approximation. The technical details can be found in Hong Zhang and Zheyang Wu (2020) <arXiv:2003.01286>.

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