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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-gformulami 1.0.3
Propagated dependencies: r-mice@3.18.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://jwb133.github.io/gFormulaMI/
Licenses: GPL 3+
Build system: r
Synopsis: G-Formula for Causal Inference via Multiple Imputation
Description:

This package implements the G-Formula method for causal inference with time-varying treatments and confounders using Bayesian multiple imputation methods, as described by Bartlett et al (2025) <doi:10.1177/09622802251316971>. It creates multiple synthetic imputed datasets under treatment regimes of interest using the mice package. These can then be analysed using rules developed for analysing multiple synthetic datasets.

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-gwars 0.3.0
Propagated dependencies: r-tidyr@1.3.1 r-scales@1.4.0 r-rcolorbrewer@1.1-3 r-ggrepel@0.9.6 r-ggplot2@4.0.1 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/LindoNkambule/gwaRs
Licenses: FSDG-compatible
Build system: r
Synopsis: Manhattan, Q-Q, and PCA Plots using 'ggplot2'
Description:

Generate Manhattan, Q-Q, and PCA plots from GWAS and PCA results using ggplot2'.

r-gwavr 0.3.3
Propagated dependencies: r-whitebox@2.4.3 r-units@1.0-0 r-tidyr@1.3.1 r-terra@1.8-86 r-shinywidgets@0.9.0 r-shiny@1.11.1 r-sf@1.0-23 r-scales@1.4.0 r-rlang@1.1.6 r-purrr@1.2.0 r-promises@1.5.0 r-nhdplustools@1.4.2 r-miniui@0.1.2 r-leaflet-extras@2.0.1 r-leaflet@2.2.3 r-jsonlite@2.0.0 r-httr@1.4.7 r-htmlwidgets@1.6.4 r-elevatr@0.99.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/joshualerickson/gwavr/
Licenses: Expat
Build system: r
Synopsis: Get Water Attributes Visually in R
Description:

This package provides methods to Get Water Attributes Visually in R ('gwavr'). This allows the user to point and click on areas within the United States and get back hydrological data, e.g. flowlines, catchments, basin boundaries, comids, etc.

r-groupseq 1.4.3
Propagated dependencies: r-tcltk2@1.6.1 r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://rpahl.github.io/GroupSeq/
Licenses: GPL 3
Build system: r
Synopsis: Group Sequential Design Probabilities - With Graphical User Interface
Description:

Computes probabilities related to group sequential designs for normally distributed test statistics. Enables to derive critical boundaries, power, drift, and confidence intervals of such designs. Supports the alpha spending approach by Lan-DeMets (1994) <doi:10.1002/sim.4780131308>.

r-gunsales 0.1.3
Propagated dependencies: r-zoo@1.8-14 r-x13binary@1.1.61.1 r-seasonal@1.10.0 r-rlang@1.1.6 r-ggplot2@4.0.1 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/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-gmvjoint 0.4.5
Propagated dependencies: r-xtable@1.8-4 r-survival@3.8-3 r-statmod@1.5.1 r-reformulas@0.4.2 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-pracma@2.4.6 r-mvtnorm@1.3-3 r-mass@7.3-65 r-glmmtmb@1.1.13
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/jamesmurray7/gmvjoint
Licenses: GPL 3
Build system: r
Synopsis: Joint Models of Survival and Multivariate Longitudinal Data
Description:

Fit joint models of survival and multivariate longitudinal data. The longitudinal data is specified by generalised linear mixed models. The joint models are fit via maximum likelihood using an approximate expectation maximisation algorithm. Bernhardt (2015) <doi:10.1016/j.csda.2014.11.011>.

r-getable 1.0.3
Propagated dependencies: r-knitr@1.50
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://yongfu.name/getable/
Licenses: Expat
Build system: r
Synopsis: Fetching Tabular Data "Onload" in Compiled R Markdown HTML Documents
Description:

Dynamically retrieve data from the web to render HTML tables on inspection in R Markdown HTML documents.

r-ggdmcheaders 0.2.9.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/yxlin/ggdmcHeaders
Licenses: GPL 2+
Build system: r
Synopsis: 'C++' Headers for 'ggdmc' Package
Description:

This package provides a fast C++ implementation of the design-based, Diffusion Decision Model (DDM) and the Linear Ballistic Accumulation (LBA) model. It enables the user to optimise the choice response time model by connecting with the Differential Evolution Markov Chain Monte Carlo (DE-MCMC) sampler implemented in the ggdmc package. The package fuses the hierarchical modelling, Bayesian inference, choice response time models and factorial designs, allowing users to build their own design-based models. For more information on the underlying models, see the works by Voss, Rothermund, and Voss (2004) <doi:10.3758/BF03196893>, Ratcliff and McKoon (2008) <doi:10.1162/neco.2008.12-06-420>, and Brown and Heathcote (2008) <doi:10.1016/j.cogpsych.2007.12.002>.

r-geojson 0.3.5
Propagated dependencies: r-sp@2.2-0 r-protolite@2.3.1 r-magrittr@2.0.4 r-lazyeval@0.2.2 r-jsonlite@2.0.0 r-jqr@1.4.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://docs.ropensci.org/geojson/
Licenses: Expat
Build system: r
Synopsis: Classes for 'GeoJSON'
Description:

This package provides classes for GeoJSON to make working with GeoJSON easier. Includes S3 classes for GeoJSON classes with brief summary output, and a few methods such as extracting and adding bounding boxes, properties, and coordinate reference systems; working with newline delimited GeoJSON'; and serializing to/from Geobuf binary GeoJSON format.

r-glsme 1.0.5
Propagated dependencies: r-mvtnorm@1.3-3 r-corpcor@1.6.10
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GLSME
Licenses: GPL 2+ FSDG-compatible
Build system: r
Synopsis: Generalized Least Squares with Measurement Error
Description:

This package performs linear regression with correlated predictors, responses and correlated measurement errors in predictors and responses, correcting for biased caused by these.

r-gtregression 1.0.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-sandwich@3.1-1 r-rlang@1.1.6 r-risks@0.4.3 r-purrr@1.2.0 r-patchwork@1.3.2 r-officer@0.7.1 r-mass@7.3-65 r-lmtest@0.9-40 r-gtsummary@2.5.0 r-gt@1.3.0 r-ggtext@0.1.2 r-ggplot2@4.0.1 r-flextable@0.9.10 r-dplyr@1.1.4 r-broom-helpers@1.22.0 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://thinkdenominator.github.io/gtregression/
Licenses: Expat
Build system: r
Synopsis: Tools for Creating Publication-Ready Regression Tables
Description:

Simplifies regression modeling in R by integrating multiple modeling and summarization tools into a cohesive, user-friendly interface. Designed to be accessible for researchers, particularly those in Low- and Middle-Income Countries (LMIC). Built upon widely accepted statistical methods, including logistic regression (Hosmer et al. 2013, ISBN:9781118548429), log-binomial regression (Spiegelman and Hertzmark 2005 <doi:10.1093/aje/kwi188>), Poisson and robust Poisson regression (Zou 2004 <doi:10.1093/aje/kwh090>), negative binomial regression (Hilbe 2011, ISBN:9780521179515), and linear regression (Kutner et al. 2005, ISBN:9780071122214). Leverages multiple dependencies to ensure high-quality output and generate reproducible, publication-ready tables in alignment with best practices in epidemiology and applied statistics.

r-groupedsurv 1.0.5.1
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-qvalue@2.42.0 r-foreach@1.5.2 r-doparallel@1.0.17 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=groupedSurv
Licenses: GPL 2+
Build system: r
Synopsis: Efficient Estimation of Grouped Survival Models Using the Exact Likelihood Function
Description:

These Rcpp'-based functions compute the efficient score statistics for grouped time-to-event data (Prentice and Gloeckler, 1978), with the optional inclusion of baseline covariates. Functions for estimating the parameter of interest and nuisance parameters, including baseline hazards, using maximum likelihood are also provided. A parallel set of functions allow for the incorporation of family structure of related individuals (e.g., trios). Note that the current implementation of the frailty model (Ripatti and Palmgren, 2000) is sensitive to departures from model assumptions, and should be considered experimental. For these data, the exact proportional-hazards-model-based likelihood is computed by evaluating multiple variable integration. The integration is accomplished using the Cuba library (Hahn, 2005), and the source files are included in this package. The maximization process is carried out using Brent's algorithm, with the C++ code file from John Burkardt and John Denker (Brent, 2002).

r-geodrawr 2.0.0
Propagated dependencies: r-shinydashboard@0.7.3 r-shiny@1.11.1 r-sf@1.0-23 r-leaflet@2.2.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/Curycu/geodrawr
Licenses: GPL 3
Build system: r
Synopsis: Making Geospatial Objects
Description:

Draw geospatial objects by clicks on the map. This packages can help data analyst who want to check their own geospatial hypothesis but has no ready-made geospatial objects.

r-graphframes 0.1.2
Propagated dependencies: r-tibble@3.3.0 r-sparklyr@1.9.3 r-forge@0.2.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/rstudio/graphframes
Licenses: ASL 2.0 FSDG-compatible
Build system: r
Synopsis: Interface for 'GraphFrames'
Description:

This package provides a sparklyr <https://spark.rstudio.com/> extension that provides an R interface for GraphFrames <https://graphframes.github.io/>. GraphFrames is a package for Apache Spark that provides a DataFrame-based API for working with graphs. Functionality includes motif finding and common graph algorithms, such as PageRank and Breadth-first search.

r-geigen 2.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=geigen
Licenses: GPL 2+
Build system: r
Synopsis: Calculate Generalized Eigenvalues, the Generalized Schur Decomposition and the Generalized Singular Value Decomposition of a Matrix Pair with Lapack
Description:

This package provides functions to compute generalized eigenvalues and eigenvectors, the generalized Schur decomposition and the generalized Singular Value Decomposition of a matrix pair, using Lapack routines.

r-graphicalvar 0.3.4
Propagated dependencies: r-rlang@1.1.6 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-qgraph@1.9.8 r-mvtnorm@1.3-3 r-matrix@1.7-4 r-igraph@2.2.1 r-glmnet@4.1-10 r-glasso@1.11 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=graphicalVAR
Licenses: GPL 2+
Build system: r
Synopsis: Graphical VAR for Experience Sampling Data
Description:

Estimates within and between time point interactions in experience sampling data, using the Graphical vector autoregression model in combination with regularization. See also Epskamp, Waldorp, Mottus & Borsboom (2018) <doi:10.1080/00273171.2018.1454823>.

r-gese 2.0.1
Propagated dependencies: r-kinship2@1.9.6.2
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GESE
Licenses: GPL 2
Build system: r
Synopsis: Gene-Based Segregation Test
Description:

This package implements the gene-based segregation test(GESE) and the weighted GESE test for identifying genes with causal variants of large effects for family-based sequencing data. The methods are described in Qiao, D. Lange, C., Laird, N.M., Won, S., Hersh, C.P., et al. (2017). <DOI:10.1002/gepi.22037>. Gene-based segregation method for identifying rare variants for family-based sequencing studies. Genet Epidemiol 41(4):309-319. More details can be found at <http://scholar.harvard.edu/dqiao/gese>.

r-ggcorrheatmap 0.3.0
Propagated dependencies: r-scales@1.4.0 r-rlang@1.1.6 r-ggplot2@4.0.1 r-ggnewscale@0.5.2 r-dplyr@1.1.4 r-dendextend@1.19.1 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/leod123/ggcorrheatmap
Licenses: Expat
Build system: r
Synopsis: Make Flexible 'ggplot2' Correlation Heatmaps
Description:

Create correlation heatmaps with ggplot2 and customise them with flexible annotation and clustering. Symmetric heatmaps can use triangular or mixed layouts, removing redundant information or displaying complementary information in the two halves. There is also support for general heatmaps not displaying correlations.

r-geoperu 0.0.0.2
Propagated dependencies: r-sf@1.0-23 r-httr@1.4.7 r-data-table@1.17.8 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/PaulESantos/geoperu
Licenses: Expat
Build system: r
Synopsis: Download Spatial Datasets of Peru
Description:

This package provides convenient access to the official spatial datasets of Peru as sf objects in R. This package includes a wide range of geospatial data covering various aspects of Peruvian geography, such as: administrative divisions (Source: INEI <https://ide.inei.gob.pe/>), protected natural areas (Source: GEO ANP - SERNANP <https://geo.sernanp.gob.pe/visorsernanp/>). All datasets are harmonized in terms of attributes, projection, and topology, ensuring consistency and ease of use for spatial analysis and visualization.

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-genhmm1d 0.2.6
Propagated dependencies: r-vgam@1.1-13 r-vares@1.0.2 r-stabledist@0.7-2 r-ssdtools@2.5.0 r-sn@2.1.1 r-skewt@1.0 r-sgt@2.0 r-rmutil@1.1.10 r-reshape2@1.4.5 r-matrixcalc@1.0-6 r-gldex@2.0.0.9.4 r-ggplot2@4.0.1 r-generalizedhyperbolic@0.8-7 r-gamlss-dist@6.1-1 r-foreach@1.5.2 r-extradistr@1.10.0 r-envstats@3.1.0 r-doparallel@1.0.17 r-actuar@3.3-6
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GenHMM1d
Licenses: GPL 3
Build system: r
Synopsis: Goodness-of-Fit for Zero-Inflated Univariate Hidden Markov Models
Description:

Inference, goodness-of-fit tests, and predictions for continuous and discrete univariate Hidden Markov Models (HMM), including zero-inflated distributions. The goodness-of-fit test is based on a Cramer-von Mises statistic and uses parametric bootstrap to estimate the p-value. The description of the methodology is taken from Nasri et al (2020) <doi:10.1029/2019WR025122>.

r-gilmour 0.1.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gilmour
Licenses: GPL 3
Build system: r
Synopsis: The Interpretation of Adjusted Cp Statistic
Description:

Several methods may be found for selecting a subset of regressors from a set of k candidate variables in multiple linear regression. One possibility is to evaluate all possible regression models and comparing them using Mallows's Cp statistic (Cp) according to Gilmour original study. Full model is calculated, all possible combinations of regressors are generated, adjusted Cp for each submodel are computed, and the submodel with the minimum adjusted value Cp (ModelMin) is calculated. To identify the final model, the package applies a sequence of hypothesis tests on submodels nested within ModelMin, following the approach outlined in Gilmour's original paper. For more details see the help of the function final_model() and the original study (1996) <doi:10.2307/2348411>.

r-gtestsmulti 0.1.1
Propagated dependencies: 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=gTestsMulti
Licenses: GPL 2+
Build system: r
Synopsis: New Graph-Based Multi-Sample Tests
Description:

New multi-sample tests for testing whether multiple samples are from the same distribution. They work well particularly for high-dimensional data. Song, H. and Chen, H. (2022) <arXiv:2205.13787>.

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