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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-gnrs 0.3.4
Propagated dependencies: r-rcurl@1.98-1.17 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://cran.r-project.org/package=GNRS
Licenses: Expat
Build system: r
Synopsis: Access the 'Geographic Name Resolution Service'
Description:

This package provides tools for interacting with the geographic name resolution service ('GNRS') API <https://github.com/ojalaquellueva/gnrs> and associated functionality. The GNRS is a batch application for resolving & standardizing political division names against standard name in the geonames database <http://www.geonames.org/>. The GNRS resolves political division names at three levels: country, state/province and county/parish. Resolution is performed in a series of steps, beginning with direct matching to standard names, followed by direct matching to alternate names in different languages, followed by direct matching to standard codes (such as ISO and FIPS codes). If direct matching fails, the GNRS attempts to match to standard and then alternate names using fuzzy matching, but does not perform fuzzing matching of political division codes. The GNRS works down the political division hierarchy, stopping at the current level if all matches fail. In other words, if a country cannot be matched, the GNRS does not attempt to match state or county.

r-gaussianhmm1d 1.1.2
Propagated dependencies: r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GaussianHMM1d
Licenses: GPL 2+
Build system: r
Synopsis: Inference, Goodness-of-Fit and Forecast for Univariate Gaussian Hidden Markov Models
Description:

Inference, goodness-of-fit test, and prediction densities and intervals for univariate Gaussian Hidden Markov Models (HMM). The goodness-of-fit 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 Chapter 10.2 of Remillard (2013) <doi:10.1201/b14285>.

r-gdilm-sir 1.2.1
Propagated dependencies: r-psych@2.5.6 r-numderiv@2016.8-1.1 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=GDILM.SIR
Licenses: Expat
Build system: r
Synopsis: Inference for Infectious Disease Transmission in SIR Framework
Description:

Model and estimate the model parameters for the spatial model of individual-level infectious disease transmission in Susceptible-Infected-Recovered (SIR) framework.

r-gocompare 1.0.2.2
Propagated dependencies: r-vegan@2.7-2 r-stringr@1.6.0 r-mathjaxr@1.8-0 r-igraph@2.2.1 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/ccsosa/GOCompare
Licenses: GPL 3+
Build system: r
Synopsis: Comprehensive GO Terms Comparison Between Species
Description:

Supports the assessment of functional enrichment analyses obtained for several lists of genes and provides a workflow to analyze them between two species via weighted graphs. Methods are described in Sosa et al. (2023) <doi:10.1016/j.ygeno.2022.110528>.

r-gtexr 0.2.1
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-purrr@1.2.0 r-httr2@1.2.1 r-dplyr@1.1.4 r-cli@3.6.5
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-gps 1.2
Propagated dependencies: r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/ZheyuanLi/gps
Licenses: GPL 3
Build system: r
Synopsis: General P-Splines
Description:

General P-splines are non-uniform B-splines penalized by a general difference penalty, proposed by Li and Cao (2022) <arXiv:2201.06808>. Constructible on arbitrary knots, they extend the standard P-splines of Eilers and Marx (1996) <doi:10.1214/ss/1038425655>. They are also related to the O-splines of O'Sullivan (1986) <doi:10.1214/ss/1177013525> via a sandwich formula that links a general difference penalty to a derivative penalty. The package includes routines for setting up and handling difference and derivative penalties. It also fits P-splines and O-splines to (x, y) data (optionally weighted) for a grid of smoothing parameter values in the automatic search intervals of Li and Cao (2023) <doi:10.1007/s11222-022-10178-z>. It aims to facilitate other packages to implement P-splines or O-splines as a smoothing tool in their model estimation framework.

r-gmsimpute 0.0.1.0
Propagated dependencies: r-reshape2@1.4.5 r-glmnet@4.1-10 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=GMSimpute
Licenses: GPL 2+
Build system: r
Synopsis: Generalized Mass Spectrum Missing Peaks Abundance Imputation
Description:

Two-Step Lasso (TS-Lasso) and compound minimum methods to recover the abundance of missing peaks in mass spectrum analysis. TS-Lasso is an imputation method that handles various types of missing peaks simultaneously. This package provides the procedure to generate missing peaks (or data) for simulation study, as well as a tool to estimate and visualize the proportion of missing at random.

r-ggblend 0.1.2
Propagated dependencies: 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://mjskay.github.io/ggblend/
Licenses: Expat
Build system: r
Synopsis: Blending and Compositing Algebra for 'ggplot2'
Description:

Algebra of operations for blending, copying, adjusting, and compositing layers in ggplot2'. Supports copying and adjusting the aesthetics or parameters of an existing layer, partitioning a layer into multiple pieces for re-composition, applying affine transformations to layers, and combining layers (or partitions of layers) using blend modes (including commutative blend modes, like multiply and darken). Blend mode support is particularly useful for creating plots with overlapping groups where the layer drawing order does not change the output; see Kindlmann and Scheidegger (2014) <doi:10.1109/TVCG.2014.2346325>.

r-geommc 0.1.1
Propagated dependencies: r-rcpp@1.1.0 r-mcmc@0.9-8 r-matrixcalc@1.0-6 r-matrix@1.7-4 r-magrittr@2.0.4 r-cubature@2.1.4-1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/vroys/geommc
Licenses: GPL 3+
Build system: r
Synopsis: Geometric Markov Chain Sampling
Description:

Simulates from discrete and continuous target distributions using geometric Metropolis-Hastings (MH) algorithms. Users specify the target distribution by an R function that evaluates the log un-normalized pdf or pmf. The package also contains a function implementing a specific geometric MH algorithm for performing high dimensional Bayesian variable selection.

r-gramevol 2.1-4
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/fnoorian/gramEvol/
Licenses: GPL 2+
Build system: r
Synopsis: Grammatical Evolution for R
Description:

This package provides a native R implementation of grammatical evolution (GE). GE facilitates the discovery of programs that can achieve a desired goal. This is done by performing an evolutionary optimisation over a population of R expressions generated via a user-defined context-free grammar (CFG) and cost function.

r-gwbr 1.0.5
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gwbr
Licenses: GPL 3
Build system: r
Synopsis: Local and Global Beta Regression
Description:

Fit a regression model for when the response variable is presented as a ratio or proportion. This adjustment can occur globally, with the same estimate for the entire study space, or locally, where a beta regression model is fitted for each region, considering only influential locations for that area. Da Silva, A. R. and Lima, A. O. (2017) <doi:10.1016/j.spasta.2017.07.011>.

r-gamlssbssn 0.1.0
Propagated dependencies: r-mass@7.3-65 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://cran.r-project.org/package=gamlssbssn
Licenses: GPL 2
Build system: r
Synopsis: Bimodal Skew Symmetric Normal Distribution
Description:

Density, distribution function, quantile function and random generation for the bimodal skew symmetric normal distribution of Hassan and El-Bassiouni (2016) <doi:10.1080/03610926.2014.882950>.

r-ggspatial 1.1.10
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-sf@1.0-23 r-scales@1.4.0 r-rosm@0.3.1 r-rlang@1.1.6 r-glue@1.8.0 r-ggplot2@4.0.1 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://paleolimbot.github.io/ggspatial/
Licenses: GPL 3
Build system: r
Synopsis: Spatial Data Framework for ggplot2
Description:

Spatial data plus the power of the ggplot2 framework means easier mapping when input data are already in the form of spatial objects.

r-gontr 1.1.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=gontr
Licenses: GPL 2
Build system: r
Synopsis: Dataset for 'GOxploreR'
Description:

This package contains the Gene ontology terms and skeleton for the reduced GO directed acyclic graph (DAG) for the organisms Rat and Mouse. The methods are explicitly discussed in the following article : Manjang et al (2020) <doi:10.1038/s41598-020-73326-3>.

r-gamboostlss 2.2-0
Propagated dependencies: r-stabs@0.6-4 r-mboost@2.9-11 r-gamlss-dist@6.1-1
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/boost-R/gamboostLSS
Licenses: GPL 2
Build system: r
Synopsis: Boosting Methods for 'GAMLSS'
Description:

Boosting models for fitting generalized additive models for location, shape and scale ('GAMLSS') to potentially high dimensional data.

r-guiplot 0.5.0
Propagated dependencies: r-svglite@2.2.2 r-shiny@1.11.1 r-rlang@1.1.6 r-r6@2.6.1 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-ggplot2@4.0.1 r-excelr@0.4.0 r-dt@0.34.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://s0521.github.io/guiplot/about/
Licenses: Expat
Build system: r
Synopsis: User-Friendly GUI Plotting Tools
Description:

Create a user-friendly plotting GUI for R'. In addition, one purpose of creating the R package is to facilitate third-party software to call R for drawing, for example, Phoenix WinNonlin software calls R to draw the drug concentration versus time curve.

r-geonames 0.999
Propagated dependencies: r-rjson@0.2.23
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=geonames
Licenses: GPL 3
Build system: r
Synopsis: Interface to the "Geonames" Spatial Query Web Service
Description:

The web service at <https://www.geonames.org/> provides a number of spatial data queries, including administrative area hierarchies, city locations and some country postal code queries. A (free) username is required and rate limits exist.

r-gtextras 0.6.2
Propagated dependencies: r-scales@1.4.0 r-rlang@1.1.6 r-paletteer@1.6.0 r-knitr@1.50 r-htmltools@0.5.8.1 r-gt@1.3.0 r-glue@1.8.0 r-ggplot2@4.0.1 r-fontawesome@0.5.3 r-dplyr@1.1.4 r-commonmark@2.0.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/jthomasmock/gtExtras
Licenses: Expat
Build system: r
Synopsis: Extending 'gt' for Beautiful HTML Tables
Description:

This package provides additional functions for creating beautiful tables with gt'. The functions are generally wrappers around boilerplate or adding opinionated niche capabilities and helpers functions.

r-gec 0.1.0
Propagated dependencies: r-mistr@0.0.6
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=GEC
Licenses: GPL 3
Build system: r
Synopsis: Generalized Exponentiated Composite Distributions
Description:

This package contains the framework of the estimation, sampling, and hypotheses testing for two special distributions (Exponentiated Exponential-Pareto and Exponentiated Inverse Gamma-Pareto) within the family of Generalized Exponentiated Composite distributions. The detailed explanation and the applications of these two distributions were introduced in Bowen Liu, Malwane M.A. Ananda (2022) <doi:10.1080/03610926.2022.2050399>, Bowen Liu, Malwane M.A. Ananda (2022) <doi:10.3390/math10111895>, and Bowen Liu, Malwane M.A. Ananda (2022) <doi:10.3390/app13010645>.

r-geonapi 0.8-1
Propagated dependencies: r-xml@3.99-0.20 r-r6@2.6.1 r-plyr@1.8.9 r-openssl@2.3.4 r-keyring@1.4.1 r-httr@1.4.7 r-geometa@0.9.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/eblondel/geonapi/wiki
Licenses: Expat
Build system: r
Synopsis: 'GeoNetwork' API R Interface
Description:

This package provides an R interface to the GeoNetwork API (<https://geonetwork-opensource.org/#api>) allowing to upload and publish metadata in a GeoNetwork web-application and expose it to OGC CSW.

r-gptzeror 0.0.2
Propagated dependencies: r-tidyr@1.3.1 r-lifecycle@1.0.4 r-httr2@1.2.1 r-dplyr@1.1.4 r-curl@7.0.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/christopherkenny/gptzeror
Licenses: Expat
Build system: r
Synopsis: Identify Text Written by Large Language Models using 'GPTZero'
Description:

An R interface to the GPTZero API (<https://gptzero.me/docs>). Allows users to classify text into human and computer written with probabilities. Formats the data into data frames where each sentence is an observation. Paragraph-level and document-level predictions are organized to align with the sentences.

r-grouptesting 1.3.0
Propagated dependencies: r-pracma@2.4.6 r-bingroup2@1.3.3
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=groupTesting
Licenses: GPL 3
Build system: r
Synopsis: Simulating and Modeling Group (Pooled) Testing Data
Description:

This package provides an expectation-maximization (EM) algorithm using the approach introduced in Warasi (2023) <doi:10.1080/03610918.2021.2009867>. The EM algorithm can be used to estimate the prevalence (overall proportion) of a disease and to estimate a binary regression model from among the class of generalized linear models based on group testing data. The estimation framework we consider offers a flexible and general approach; i.e., its application is not limited to any specific group testing protocol. Consequently, the EM algorithm can model data arising from simple pooling as well as advanced pooling such as hierarchical testing, array testing, and quality control pooling. Also, provided are functions that can be used to conduct the Wald tests described in Buse (1982) <doi:10.1080/00031305.1982.10482817> and to simulate the group testing data described in Kim et al. (2007) <doi:10.1111/j.1541-0420.2007.00817.x>. We offer a function to compute relative efficiency measures, which can be used to optimize the maximum likelihood estimator of disease prevalence.

r-geneexpressionfromgeo 1.3
Propagated dependencies: r-xml2@1.5.0 r-geoquery@2.78.0 r-biobase@2.70.0 r-annotate@1.88.0
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://github.com/davidechicco/geneExpressionFromGEO
Licenses: GPL 3
Build system: r
Synopsis: Easily Downloads a Gene Expression Dataset from a GEO Code and Retrieves the Gene Symbols of Its Probesets
Description:

This package provides a function that reads in the GEO code of a gene expression dataset, retrieves its data from GEO, (optionally) retrieves the gene symbols of the dataset, and returns a simple dataframe table containing all the data. Platforms available: GPL11532, GPL23126, GPL6244, GPL8300, GPL80, GPL96, GPL570, GPL571, GPL20115, GPL1293, GPL6102, GPL6104, GPL6883, GPL6884, GPL13497, GPL14550, GPL17077, GPL6480. GEO: Gene Expression Omnibus. ID: identifier code. The GEO datasets are downloaded from the URL <https://ftp.ncbi.nlm.nih.gov/geo/series/>. More information can be found in the following manuscript: Davide Chicco, "geneExpressionFromGEO: an R package to facilitate data reading from Gene Expression Omnibus (GEO)". Microarray Data Analysis, Methods in Molecular Biology, volume 2401, chapter 12, pages 187-194, Springer Protocols, 2021, <doi:10.1007/978-1-0716-1839-4_12>.

r-glmpathcr 1.0.10
Propagated dependencies: r-glmpath@0.98
Channel: guix-cran
Location: guix-cran/packages/g.scm (guix-cran packages g)
Home page: https://cran.r-project.org/package=glmpathcr
Licenses: GPL 2
Build system: r
Synopsis: Fit a Penalized Continuation Ratio Model for Predicting an Ordinal Response
Description:

This package provides a function for fitting a penalized constrained continuation ratio model using the glmpath algorithm and methods for extracting coefficient estimates, predicted class, class probabilities, and plots as described by Archer and Williams (2012) <doi:10.1002/sim.4484>.

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