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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 search send a patch to ~whereiseveryone/toys@lists.sr.ht adding your channel as an entry in channels.scm.


r-gimme 10.0
Propagated dependencies: r-tseries@0.10-58 r-qgraph@1.9.8 r-nloptr@2.2.1 r-miivsem@0.5.8 r-mass@7.3-65 r-lavaan@0.6-20 r-imputets@3.4 r-igraph@2.2.1 r-data-tree@1.2.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/GatesLab/gimme/
Licenses: GPL 2
Build system: r
Synopsis: Group Iterative Multiple Model Estimation
Description:

Data-driven approach for arriving at person-specific time series models. The method first identifies which relations replicate across the majority of individuals to detect signal from noise. These group-level relations are then used as a foundation for starting the search for person-specific (or individual-level) relations. See Gates & Molenaar (2012) <doi:10.1016/j.neuroimage.2012.06.026>.

r-garchito 0.1.0
Propagated dependencies: r-rsolnp@2.0.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GARCHIto
Licenses: GPL 3
Build system: r
Synopsis: Class of GARCH-Ito Models
Description:

This package provides functions to estimate model parameters and forecast future volatilities using the Unified GARCH-Ito [Kim and Wang (2016) <doi:10.1016/j.jeconom.2016.05.003>] and Realized GARCH-Ito [Song et. al. (2020) <doi:10.1016/j.jeconom.2020.07.007>] models. Optimization is done using augmented Lagrange multiplier method.

r-gwrr 0.2-2
Propagated dependencies: r-lars@1.3 r-fields@17.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gwrr
Licenses: GPL 2+
Build system: r
Synopsis: Fits Geographically Weighted Regression Models with Diagnostic Tools
Description:

Fits geographically weighted regression (GWR) models and has tools to diagnose and remediate collinearity in the GWR models. Also fits geographically weighted ridge regression (GWRR) and geographically weighted lasso (GWL) models. See Wheeler (2009) <doi:10.1068/a40256> and Wheeler (2007) <doi:10.1068/a38325> for more details.

r-gowersom 0.1.0
Propagated dependencies: r-statmatch@1.4.3 r-reshape2@1.4.5 r-gower@1.0.2 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-cluster@2.1.8.1 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GowerSom
Licenses: GPL 2
Build system: r
Synopsis: Self-Organizing Maps for Mixed-Attribute Data Using Gower Distance
Description:

This package implements a variant of the Self-Organizing Map (SOM) algorithm designed for mixed-attribute datasets. Similarity between observations is computed using the Gower distance, and categorical prototypes are updated via heuristic strategies (weighted mode and multinomial sampling). Provides functions for model fitting, mapping, visualization (U-Matrix and component planes), and evaluation, making SOM applicable to heterogeneous real-world data. For methodological details see Sáez and Salas (2026) <doi:10.1007/s41060-025-00941-6>.

r-gtexr 0.2.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://docs.ropensci.org/gtexr/
Licenses: Expat
Build system: r
Synopsis: Query the GTEx Portal API
Description:

This package provides a convenient R interface to the Genotype-Tissue Expression (GTEx) Portal API. The GTEx project is a comprehensive public resource for studying tissue-specific gene expression and regulation in human tissues. Through systematic analysis of RNA sequencing data from 54 non-diseased tissue sites across nearly 1000 individuals, GTEx provides crucial insights into the relationship between genetic variation and gene expression. This data is accessible through the GTEx Portal API enabling programmatic access to human gene expression data. For more information on the API, see <https://gtexportal.org/api/v2/redoc>.

r-geothinner 2.1.1
Propagated dependencies: r-terra@1.8-86 r-sf@1.0-23 r-nabor@0.5.0 r-matrixstats@1.5.0 r-foreach@1.5.2 r-fields@17.1 r-doparallel@1.0.17 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/jmestret/GeoThinneR
Licenses: Expat
Build system: r
Synopsis: Efficient Spatial Thinning of Species Occurrences
Description:

This package provides efficient geospatial thinning algorithms to reduce the density of coordinate data while maintaining spatial relationships. Implements K-D Tree and brute-force distance-based thinning, as well as grid-based and precision-based thinning methods. For more information on the methods, see Elseberg et al. (2012) <https://hdl.handle.net/10446/86202>.

r-generalizedwendland 0.6.1
Dependencies: gsl@2.8
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GeneralizedWendland
Licenses: GPL 2+
Build system: r
Synopsis: Fully Parameterized Generalized Wendland Covariance Function
Description:

This package provides a fully parameterized Generalized Wendland covariance function for use in Gaussian process models, as well as multiple methods for approximating it via covariance interpolation. The available methods are linear interpolation, polynomial interpolation, and cubic spline interpolation. Moreno Bevilacqua and Reinhard Furrer and Tarik Faouzi and Emilio Porcu (2019) <url:<https://projecteuclid.org/journalArticle/Download?urlId=10.1214%2F17-AOS1652 >>. Moreno Bevilacqua and Christian Caamaño-Carrillo and Emilio Porcu (2022) <doi:10.48550/arXiv.2008.02904>. Reinhard Furrer and Roman Flury and Florian Gerber (2022) <url:<https://CRAN.R-project.org/package=spam >>.

r-go2bigq 2.0.1
Propagated dependencies: r-rmpfr@1.1-2 r-gmp@0.7-5
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=go2bigq
Licenses: LGPL 3
Build system: r
Synopsis: Convert Large Numbers to Bigq Format
Description:

This function converts mfpr, numeric, or character strings representing numbers to bigq format without loss of precision.

r-grafify 5.1.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/ashenoy-cmbi/grafify
Licenses: GPL 2+
Build system: r
Synopsis: Easy Graphs for Data Visualisation and Linear Models for ANOVA
Description:

Easily explore data by plotting graphs with a few lines of code. Use these ggplot() wrappers to quickly draw graphs of scatter/dots with box-whiskers, violins or SD error bars, data distributions, before-after graphs, factorial ANOVA and more. Customise graphs in many ways, for example, by choosing from colour blind-friendly palettes (12 discreet, 3 continuous and 2 divergent palettes). Use the simple code for ANOVA as ordinary (lm()) or mixed-effects linear models (lmer()), including randomised-block or repeated-measures designs, and fit non-linear outcomes as a generalised additive model (gam) using mgcv(). Obtain estimated marginal means and perform post-hoc comparisons on fitted models (via emmeans()). Also includes small datasets for practising code and teaching basics before users move on to more complex designs. See vignettes for details on usage <https://grafify.shenoylab.com/>. Citation: <doi:10.5281/zenodo.5136508>.

r-geosae 0.1.0
Propagated dependencies: r-nlme@3.1-168 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/ketutdika/geoSAE
Licenses: GPL 3
Build system: r
Synopsis: Geoadditive Small Area Model
Description:

This function is an extension of the Small Area Estimation (SAE) model. Geoadditive Small Area Model is a combination of the geoadditive model with the Small Area Estimation (SAE) model, by adding geospatial information to the SAE model. This package refers to J.N.K Rao and Isabel Molina (2015, ISBN: 978-1-118-73578-7), Bocci, C., & Petrucci, A. (2016)<doi:10.1002/9781118814963.ch13>, and Ardiansyah, M., Djuraidah, A., & Kurnia, A. (2018)<doi:10.21082/jpptp.v2n2.2018.p101-110>.

r-gfgm-copula 1.0.4
Propagated dependencies: r-joint-cox@3.16 r-compound-cox@3.33 r-cmprsk@2.2-12
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GFGM.copula
Licenses: GPL 2
Build system: r
Synopsis: Generalized Farlie-Gumbel-Morgenstern Copula
Description:

Compute bivariate dependence measures and perform bivariate competing risks analysis under the generalized Farlie-Gumbel-Morgenstern (FGM) copula. See Shih and Emura (2018) <doi:10.1007/s00180-018-0804-0> and Shih and Emura (2019) <doi:10.1007/s00362-016-0865-5> for details.

r-genridge 0.8.0
Propagated dependencies: r-rgl@1.3.31 r-colorspace@2.1-2 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/friendly/genridge
Licenses: GPL 2+
Build system: r
Synopsis: Generalized Ridge Trace Plots for Ridge Regression
Description:

The genridge package introduces generalizations of the standard univariate ridge trace plot used in ridge regression and related methods. These graphical methods show both bias (actually, shrinkage) and precision, by plotting the covariance ellipsoids of the estimated coefficients, rather than just the estimates themselves. 2D and 3D plotting methods are provided, both in the space of the predictor variables and in the transformed space of the PCA/SVD of the predictors.

r-gdpuc 1.6.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/pik-piam/GDPuc
Licenses: GPL 3+
Build system: r
Synopsis: Easily Convert GDP Data
Description:

Convert GDP time series data from one unit to another. All common GDP units are included, i.e. current and constant local currency units, US$ via market exchange rates and international dollars via purchasing power parities.

r-gglm 1.0.5
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/graysonwhite/gglm
Licenses: CC0
Build system: r
Synopsis: Grammar of Graphics for Linear Model Diagnostic Plots
Description:

Allows for easy creation of diagnostic plots for a variety of model objects using the Grammar of Graphics. Provides functionality for both individual diagnostic plots and an array of four standard diagnostic plots.

r-genlogis 1.0.2
Propagated dependencies: r-manipulate@1.0.1 r-ggplot2@4.0.1 r-foreach@1.5.2 r-doparallel@1.0.17 r-distr@2.9.7
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://pinduzera.github.io/genlogis/
Licenses: GPL 3
Build system: r
Synopsis: Generalized Logistic Distribution
Description:

This package provides basic distribution functions for a generalized logistic distribution proposed by Rathie and Swamee (2006) <https://www.rroij.com/open-access/on-new-generalized-logistic-distributions-and-applicationsbarreto-fhs-mota-jma-and-rathie-pn-.pdf>. It also has an interactive RStudio plot for better guessing dynamically of initial values for ease of included optimization and simulating.

r-gepaf 0.2.0
Propagated dependencies: r-bitops@1.0-9
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/riatelab/gepaf
Licenses: GPL 3
Build system: r
Synopsis: Google Encoded Polyline Algorithm Format
Description:

Encode and decode the Google Encoded Polyline Algorithm Format. See <https://developers.google.com/maps/documentation/utilities/polylinealgorithm> for more information.

r-genseir 0.1.1
Propagated dependencies: r-pracma@2.4.6 r-nlsr@2023.8.31 r-minpack-lm@1.2-4 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=genSEIR
Licenses: GPL 2+
Build system: r
Synopsis: Predict Epidemic Curves with Generalized SEIR Modeling
Description:

This package performs generalized Susceptible-Exposed-Infected-Recovered (SEIR) modeling to predict epidemic curves. The method is described in Peng et al. (2020) <doi:10.1101/2020.02.16.20023465>.

r-gittargets 0.0.7
Dependencies: git@2.52.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://docs.ropensci.org/gittargets/
Licenses: Expat
Build system: r
Synopsis: Data Version Control for the Targets Package
Description:

In computationally demanding data analysis pipelines, the targets R package (2021, <doi:10.21105/joss.02959>) maintains an up-to-date set of results while skipping tasks that do not need to rerun. This process increases speed and increases trust in the final end product. However, it also overwrites old output with new output, and past results disappear by default. To preserve historical output, the gittargets package captures version-controlled snapshots of the data store, and each snapshot links to the underlying commit of the source code. That way, when the user rolls back the code to a previous branch or commit, gittargets can recover the data contemporaneous with that commit so that all targets remain up to date.

r-gaussplotr 0.2.5
Propagated dependencies: r-viridislite@0.4.2 r-rgl@1.3.31 r-metr@0.18.3 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/vbaliga/gaussplotR
Licenses: GPL 3
Build system: r
Synopsis: Fit, Predict and Plot 2D Gaussians
Description:

This package provides functions to fit two-dimensional Gaussian functions, predict values from fits, and produce plots of predicted data via either ggplot2 or base R plotting.

r-gsmx 1.3
Propagated dependencies: 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=GSMX
Licenses: GPL 2+
Build system: r
Synopsis: Multivariate Genomic Selection
Description:

Estimating trait heritability and handling overfitting. This package includes a collection of functions for (1) estimating genetic variance-covariances and calculate trait heritability; and (2) handling overfitting by calculating the variance components and the heritability through cross validation.

r-googleauthr 2.0.2.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://code.markedmondson.me/googleAuthR/
Licenses: Expat
Build system: r
Synopsis: Authenticate and Create Google APIs
Description:

Create R functions that interact with OAuth2 Google APIs <https://developers.google.com/apis-explorer/> easily, with auto-refresh and Shiny compatibility.

r-grouprar 0.1.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=grouprar
Licenses: GPL 2+
Build system: r
Synopsis: Group Response Adaptive Randomization for Clinical Trials
Description:

Implement group response-adaptive randomization procedures, which also integrates standard non-group response-adaptive randomization methods as specialized instances. It is also uniquely capable of managing complex scenarios, including those with delayed and missing responses, thereby expanding its utility in real-world applications. This package offers 16 functions for simulating a variety of response adaptive randomization procedures. These functions are essential for guiding the selection of statistical methods in clinical trials, providing a flexible and effective approach to trial design. Some of the detailed methodologies and algorithms used in this package, please refer to the following references: LJ Wei (1979) <doi:10.1214/aos/1176344614> L. J. WEI and S. DURHAM (1978) <doi:10.1080/01621459.1978.10480109> Durham, S. D., FlournoY, N. AND LI, W. (1998) <doi:10.2307/3315771> Ivanova, A., Rosenberger, W. F., Durham, S. D. and Flournoy, N. (2000) <https://www.jstor.org/stable/25053121> Bai Z D, Hu F, Shen L. (2002) <doi:10.1006/jmva.2001.1987> Ivanova, A. (2003) <doi:10.1007/s001840200220> Hu, F., & Zhang, L. X. (2004) <doi:10.1214/aos/1079120137> Hu, F., & Rosenberger, W. F. (2006, ISBN:978-0-471-65396-7). Zhang, L. X., Chan, W. S., Cheung, S. H., & Hu, F. (2007) <https://www.jstor.org/stable/26432528> Zhang, L., & Rosenberger, W. F. (2006) <doi:10.1111/j.1541-0420.2005.00496.x> Hu, F., Zhang, L. X., Cheung, S. H., & Chan, W. S. (2008) <doi:10.1002/cjs.5550360404>.

r-gamlss-lasso 1.0-1
Propagated dependencies: r-matrix@1.7-4 r-lars@1.3 r-glmnet@4.1-10 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: Extra Lasso-Type Additive Terms for GAMLSS
Description:

Interface for extra high-dimensional smooth functions for Generalized Additive Models for Location Scale and Shape (GAMLSS) including (adaptive) lasso, ridge, elastic net and least angle regression.

r-gsodr 5.0.1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://docs.ropensci.org/GSODR/
Licenses: Expat
Build system: r
Synopsis: Global Surface Summary of the Day ('GSOD') Weather Data Client
Description:

This package provides automated downloading, parsing, cleaning, unit conversion and formatting of Global Surface Summary of the Day ('GSOD') weather data from the from the USA National Centers for Environmental Information ('NCEI'). The data were retired on 2025-08-29 and are no longer updated. Units are converted from from United States Customary System ('USCS') units to International System of Units ('SI'). Stations may be individually checked for number of missing days defined by the user, where stations with too many missing observations are omitted. Only stations with valid reported latitude and longitude values are permitted in the final data. Additional useful elements, saturation vapour pressure ('es'), actual vapour pressure ('ea') and relative humidity ('RH') are calculated from the original data using the improved August-Roche-Magnus approximation (Alduchov & Eskridge 1996) and included in the final data set. The resulting metadata include station identification information, country, state, latitude, longitude, elevation, weather observations and associated flags. For information on the GSOD data from NCEI', please see the GSOD readme.txt file available from, <https://www.ncei.noaa.gov/pub/data/gsod/readme.txt>.

Total packages: 69240