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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-ghyp 1.6.5
Propagated dependencies: r-numderiv@2016.8-1.1 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=ghyp
Licenses: GPL 2+
Build system: r
Synopsis: Generalized Hyperbolic Distribution and Its Special Cases
Description:

Detailed functionality for working with the univariate and multivariate Generalized Hyperbolic distribution and its special cases (Hyperbolic (hyp), Normal Inverse Gaussian (NIG), Variance Gamma (VG), skewed Student-t and Gaussian distribution). Especially, it contains fitting procedures, an AIC-based model selection routine, and functions for the computation of density, quantile, probability, random variates, expected shortfall and some portfolio optimization and plotting routines as well as the likelihood ratio test. In addition, it contains the Generalized Inverse Gaussian distribution. See Chapter 3 of A. J. McNeil, R. Frey, and P. Embrechts. Quantitative risk management: Concepts, techniques and tools. Princeton University Press, Princeton (2005).

r-gammi 0.2
Propagated dependencies: r-matrix@1.7-4 r-lme4@1.1-37
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gammi
Licenses: GPL 2+
Build system: r
Synopsis: Generalized Additive Mixed Model Interface
Description:

An interface for fitting generalized additive models (GAMs) and generalized additive mixed models (GAMMs) using the lme4 package as the computational engine, as described in Helwig (2024) <doi:10.3390/stats7010003>. Supports default and formula methods for model specification, additive and tensor product splines for capturing nonlinear effects, and automatic determination of spline type based on the class of each predictor. Includes an S3 plot method for visualizing the (nonlinear) model terms, an S3 predict method for forming predictions from a fit model, and an S3 summary method for conducting significance testing using the Bayesian interpretation of a smoothing spline.

r-geelite 1.0.6
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=geeLite
Licenses: FSDG-compatible
Build system: r
Synopsis: Building and Managing Local Databases from 'Google Earth Engine'
Description:

Simplifies the creation, management, and updating of local databases using data extracted from Google Earth Engine ('GEE'). It integrates with GEE to store, aggregate, and process spatio-temporal data, leveraging SQLite for efficient, serverless storage. The geeLite package provides utilities for data transformation and supports real-time monitoring and analysis of geospatial features, making it suitable for researchers and practitioners in geospatial science. For details, see Kurbucz and Andrée (2025) "Building and Managing Local Databases from Google Earth Engine with the geeLite R Package" <https://hdl.handle.net/10986/43165>.

r-galaxyr 0.1.1
Propagated dependencies: r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/JulFrey/GalaxyR
Licenses: GPL 3
Build system: r
Synopsis: 'Galaxy' API Implementation
Description:

On Galaxy platforms like Galaxy Europe <https://usegalaxy.eu>, many tools and workflows can run directly on a high-performance computer. GalaxyR connects R with Galaxy platforms API <https://usegalaxy.eu/api/docs> and allows credential management, uploading data, invoking workflows or tools, checking their status, and downloading results.

r-glme 0.1.0
Propagated dependencies: r-reshape@0.8.10 r-nlme@3.1-168 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=glme
Licenses: GPL 2+
Build system: r
Synopsis: Generalized Linear Mixed Effects Models
Description:

This package provides Generalized Inferences based on exact distributions and exact probability statements for mixed effect models, provided by such papers as Weerahandi and Yu (2020) <doi:10.1186/s40488-020-00105-w> under the widely used Compound Symmetric Covariance structure. The package returns the estimation of the coefficients in random and fixed part of the mixed models by generalized inference.

r-gimmegvar 0.1.0
Propagated dependencies: r-qgraph@1.9.8 r-png@0.1-8 r-here@1.0.2 r-graphicalvar@0.3.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GIMMEgVAR
Licenses: GPL 2
Build system: r
Synopsis: Group Iterative Multiple Model Estimation with 'graphicalVAR'
Description:

Data-driven approach for arriving at person-specific time series models from within a Graphical Vector Autoregression (VAR) framework. 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. All estimates are obtained uniquely for each individual in the final models. The method for the graphicalVAR approach is found in Epskamp, Waldorp, Mottus & Borsboom (2018) <doi:10.1080/00273171.2018.1454823>.

r-gernika 1.2.0
Propagated dependencies: r-vctrs@0.6.5 r-reshape2@1.4.5 r-purrr@1.2.0 r-magrittr@2.0.4 r-dplyr@1.1.4 r-diagrammer@1.0.11 r-data-tree@1.2.0 r-colorspace@2.1-2
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GeRnika
Licenses: GPL 3+
Build system: r
Synopsis: Simulation, Visualization and Comparison of Tumor Evolution Data
Description:

Simulating, visualizing and comparing tumor clonal data by using simple commands. This aims at providing a tool to help researchers to easily simulate tumor data and analyze the results of their approaches for studying the composition and the evolutionary history of tumors.

r-ggdmcprior 0.2.9.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=ggdmcPrior
Licenses: GPL 2+
Build system: r
Synopsis: Prior Probability Functions of the Standard and Truncated Distribution
Description:

This package provides tools for specifying and evaluating standard and truncated probability distributions, with support for log-space computation and joint distribution specification. It enables Bayesian computation for cognition models and includes utilities for density calculation, sampling, and visualisation, facilitating prior distribution specification and model assessment in hierarchical Bayesian frameworks.

r-gapclosing 1.0.2
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://ilundberg.github.io/gapclosing/
Licenses: Expat
Build system: r
Synopsis: Estimate Gaps Under an Intervention
Description:

This package provides functions to estimate the disparities across categories (e.g. Black and white) that persists if a treatment variable (e.g. college) is equalized. Makes estimates by treatment modeling, outcome modeling, and doubly-robust augmented inverse probability weighting estimation, with standard errors calculated by a nonparametric bootstrap. Cross-fitting is supported. Survey weights are supported for point estimation but not for standard error estimation; those applying this package with complex survey samples should consult the data distributor to select an appropriate approach for standard error construction, which may involve calling the functions repeatedly for many sets of replicate weights provided by the data distributor. The methods in this package are described in Lundberg (2021) <doi:10.31235/osf.io/gx4y3>.

r-graphon 0.3.6
Propagated dependencies: r-roptspace@0.2.4 r-rdpack@2.6.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=graphon
Licenses: Expat
Build system: r
Synopsis: Collection of Graphon Estimation Methods
Description:

This package provides a not-so-comprehensive list of methods for estimating graphon, a symmetric measurable function, from a single or multiple of observed networks. For a detailed introduction on graphon and popular estimation techniques, see the paper by Orbanz, P. and Roy, D.M.(2014) <doi:10.1109/TPAMI.2014.2334607>. It also contains several auxiliary functions for generating sample networks using various network models and graphons.

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-getdfpdata 1.6
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/msperlin/GetDFPData/
Licenses: GPL 2
Build system: r
Synopsis: Reading Annual Financial Reports from Bovespa's DFP, FRE and FCA System
Description:

Reads annual financial reports including assets, liabilities, dividends history, stockholder composition and much more from Bovespa's DFP, FRE and FCA systems <http://www.b3.com.br/pt_br/produtos-e-servicos/negociacao/renda-variavel/empresas-listadas.htm>. These are web based interfaces for all financial reports of companies traded at Bovespa. The package is specially designed for large scale data importation, keeping a tabular (long) structure for easier processing.

r-geex 1.1.1
Propagated dependencies: r-rootsolve@1.8.2.4 r-numderiv@2016.8-1.1 r-matrix@1.7-4 r-lme4@1.1-37
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/bsaul/geex
Licenses: Expat
Build system: r
Synopsis: An API for M-Estimation
Description:

This package provides a general, flexible framework for estimating parameters and empirical sandwich variance estimator from a set of unbiased estimating equations (i.e., M-estimation in the vein of Stefanski & Boos (2002) <doi:10.1198/000313002753631330>). All examples from Stefanski & Boos (2002) are published in the corresponding Journal of Statistical Software paper "The Calculus of M-Estimation in R with geex" by Saul & Hudgens (2020) <doi:10.18637/jss.v092.i02>. Also provides an API to compute finite-sample variance corrections.

r-geneacore 1.1.2
Propagated dependencies: r-signal@1.8-1 r-changepoint@2.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GENEAcore
Licenses: GPL 2+
Build system: r
Synopsis: Pre-Processing of 'GENEActiv' Data
Description:

Analytics to read in and segment raw GENEActiv accelerometer data into epochs and events. For more details on the GENEActiv device, see <https://activinsights.com/resources/geneactiv-support-1-2/>.

r-gnomonicm 1.0.1
Propagated dependencies: r-triangle@1.0 r-minqa@1.2.8 r-kableextra@1.4.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gnomonicM
Licenses: GPL 2
Build system: r
Synopsis: Estimate Natural Mortality for Different Life Stages
Description:

Estimate natural mortality (M) throughout the life history for organisms, mainly fish and invertebrates, based on gnomonic interval approach proposed by Caddy (1996) <doi:10.1051/alr:1996023> and Martinez-Aguilar et al. (2005) <doi:10.1016/j.fishres.2004.04.008>. It includes estimation of duration of each gnomonic interval (life stage), the constant probability of death (G), and some basic plots.

r-gfboost 0.1.1
Propagated dependencies: r-pcapp@2.0-5 r-mvtnorm@1.3-3 r-mboost@2.9-11
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gfboost
Licenses: GPL 2+
Build system: r
Synopsis: Gradient-Free Gradient Boosting
Description:

Implementation of routines of the author's PhD thesis on gradient-free Gradient Boosting (Werner, Tino (2020) "Gradient-Free Gradient Boosting", URL <https://oops.uni-oldenburg.de/id/eprint/4290>').

r-ggseg3d 2.0.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/ggsegverse/ggseg3d
Licenses: Expat
Build system: r
Synopsis: Interactive 3D Brain Atlas Visualization
Description:

Plot brain atlases as interactive 3D meshes using Three.js via htmlwidgets', or render publication-quality static images through rgl and rayshader'. A pipe-friendly API lets you map data onto brain regions, control camera angles, toggle region edges, overlay glass brains, and snapshot or ray-trace the result. Additional atlases are available through the ggsegverse r-universe. Mowinckel & Vidal-Piñeiro (2020) <doi:10.1177/2515245920928009>.

r-gpgame 1.2.1
Propagated dependencies: r-rcpp@1.1.0 r-mvtnorm@1.3-3 r-mnormt@2.1.1 r-matrixstats@1.5.0 r-mass@7.3-65 r-kriginv@1.4.2 r-gpareto@1.1.9 r-dicekriging@1.6.1 r-dicedesign@1.10
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/vpicheny/GPGame
Licenses: GPL 3
Build system: r
Synopsis: Solving Complex Game Problems using Gaussian Processes
Description:

Sequential strategies for finding a game equilibrium are proposed in a black-box setting (expensive pay-off evaluations, no derivatives). The algorithm handles noiseless or noisy evaluations. Two acquisition functions are available. Graphical outputs can be generated automatically. V. Picheny, M. Binois, A. Habbal (2018) <doi:10.1007/s10898-018-0688-0>. M. Binois, V. Picheny, P. Taillandier, A. Habbal (2020) <doi:10.48550/arXiv.1902.06565>.

r-gcxgclab 1.1.0
Propagated dependencies: r-zoo@1.8-14 r-rdpack@2.6.4 r-ptw@1.9-16 r-nls-multstart@2.0.0 r-nilde@1.1-7 r-ncdf4@1.24 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=gcxgclab
Licenses: GPL 3+
Build system: r
Synopsis: GCxGC Preprocessing and Analysis
Description:

This package provides complete detailed preprocessing of two-dimensional gas chromatogram (GCxGC) samples. Baseline correction, smoothing, peak detection, and peak alignment. Also provided are some analysis functions, such as finding extracted ion chromatograms, finding mass spectral data, targeted analysis, and nontargeted analysis with either the National Institute of Standards and Technology Mass Spectral Library or with the mass data. There are also several visualization methods provided for each step of the preprocessing and analysis.

r-glmvsd 1.5
Propagated dependencies: r-ncvreg@3.16.0 r-mass@7.3-65 r-glmnet@4.1-10 r-brglm@0.7.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/emeryyi/glmvsd
Licenses: GPL 2
Build system: r
Synopsis: Variable Selection Deviation Measures and Instability Tests for High-Dimensional Generalized Linear Models
Description:

Variable selection deviation (VSD) measures and instability tests for high-dimensional model selection methods such as LASSO, SCAD and MCP, etc., to decide whether the sparse patterns identified by those methods are reliable.

r-gpkg 0.0.12
Propagated dependencies: r-dbi@1.2.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://humus.rocks/gpkg/
Licenses: CC0
Build system: r
Synopsis: Utilities for the Open Geospatial Consortium 'GeoPackage' Format
Description:

Build Open Geospatial Consortium GeoPackage files (<https://www.geopackage.org/>). GDAL utilities for reading and writing spatial data are provided by the terra package. Additional GeoPackage and SQLite features for attributes and tabular data are implemented with the RSQLite package.

r-ginormal 0.0.2
Propagated dependencies: r-bas@2.0.2
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/smonto2/ginormal
Licenses: GPL 3+
Build system: r
Synopsis: Generalized Inverse Normal Distribution Density and Generation
Description:

Density function and generation of random variables from the Generalized Inverse Normal (GIN) distribution from Robert (1991) <doi:10.1016/0167-7152(91)90174-P>. Also provides density functions and generation from the GIN distribution truncated to positive or negative reals. Theoretical guarantees supporting the sampling algorithms and an application to Bayesian estimation of network formation models can be found in the working paper Ding, Estrada and Montoya-Blandón (2023) <https://www.smontoyablandon.com/publication/networks/network_externalities.pdf>.

r-glscalibrator 0.1.0
Propagated dependencies: r-stringr@1.6.0 r-maps@3.4.3 r-magrittr@2.0.4 r-lubridate@1.9.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/fabbiologia/glscalibrator
Licenses: Expat
Build system: r
Synopsis: Automated Calibration and Analysis of 'GLS' (Global Location Sensor) Data
Description:

This package provides a fully automated workflow for calibrating and analyzing light-level geolocation ('GLS') data from seabirds and other wildlife. The glscalibrator package auto-discovers birds from directory structures, automatically detects calibration periods from the first days of deployment, processes multiple individuals in batch mode, and generates standardized outputs including position estimates, diagnostic plots, and quality control metrics. Implements the established threshold workflow internally, following the methods described in SGAT (Wotherspoon et al. (2016) <https://github.com/SWotherspoon/SGAT>), GeoLight (Lisovski et al. (2012) <doi:10.1111/j.2041-210X.2012.00185.x>), and TwGeos (Lisovski et al. (2019) <https://github.com/slisovski/TwGeos>).

r-genescape 1.0
Propagated dependencies: r-mass@7.3-65 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=GeneScape
Licenses: GPL 3+
Build system: r
Synopsis: Simulation of Single Cell RNA-Seq Data with Complex Structure
Description:

Simulating single cell RNA-seq data with complicated structure. This package is developed based on the Splat method (Zappia, Phipson and Oshlack (2017) <doi:10.1186/s13059-017-1305-0>). GeneScape incorporates additional features to simulate single cell RNA-seq data with complicated differential expression and correlation structures, such as sub-cell-types, correlated genes (pathway genes) and hub genes.

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