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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-ssgl 2.0
Propagated dependencies: r-matrix@1.7-4 r-mass@7.3-65 r-grpreg@3.5.0 r-gigrvg@0.8 r-foreach@1.5.2 r-dorng@1.8.6.2 r-doparallel@1.0.17 r-caret@7.0-1 r-bayeslogit@2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SSGL
Licenses: GPL 3
Build system: r
Synopsis: Spike-and-Slab Group Lasso for Group-Regularized Generalized Linear Models
Description:

Fits group-regularized generalized linear models (GLMs) using the spike-and-slab group lasso (SSGL) prior of Bai et al. (2022) <doi:10.1080/01621459.2020.1765784> and extended to GLMs by Bai (2023) <doi:10.48550/arXiv.2007.07021>. This package supports fitting the SSGL model for the following GLMs with group sparsity: Gaussian linear regression, binary logistic regression, and Poisson regression.

r-sglasso 1.2.6
Propagated dependencies: r-matrix@1.7-4 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: http://www.unipa.it/persone/docenti/a/luigi.augugliaro
Licenses: GPL 2+
Build system: r
Synopsis: Lasso Method for RCON(V,E) Models
Description:

RCON(V, E) models are a kind of restriction of the Gaussian Graphical Models defined by a set of equality constraints on the entries of the concentration matrix. sglasso package implements the structured graphical lasso (sglasso) estimator proposed in Abbruzzo et al. (2014) for the weighted l1-penalized RCON(V, E) model. Two cyclic coordinate algorithms are implemented to compute the sglasso estimator, i.e. a cyclic coordinate minimization (CCM) and a cyclic coordinate descent (CCD) algorithm.

r-soiltaxonomy 0.2.8
Propagated dependencies: r-stringr@1.6.0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/ncss-tech/SoilTaxonomy
Licenses: GPL 3+
Build system: r
Synopsis: System of Soil Classification for Making and Interpreting Soil Surveys
Description:

Taxonomic dictionaries, formative element lists, and functions related to the maintenance, development and application of U.S. Soil Taxonomy. Data and functionality are based on official U.S. Department of Agriculture sources including the latest edition of the Keys to Soil Taxonomy. Descriptions and metadata are obtained from the National Soil Information System or Soil Survey Geographic databases. Other sources are referenced in the data documentation. Provides tools for understanding and interacting with concepts in the U.S. Soil Taxonomic System. Most of the current utilities are for working with taxonomic concepts at the "higher" taxonomic levels: Order, Suborder, Great Group, and Subgroup.

r-summarysci 0.1.1
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-purrr@1.2.0 r-officer@0.7.1 r-labelled@2.16.0 r-hmisc@5.2-4 r-gtsummary@2.5.0 r-forcats@1.0.1 r-flextable@0.9.10 r-dplyr@1.1.4 r-cardx@0.3.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/SAKK-Statistics/summarySCI/
Licenses: LGPL 3
Build system: r
Synopsis: Produces Publication-Ready Summary Tables
Description:

This package produces tables with descriptive statistics for continuous, categorical and dichotomous variables. It is largely based on the package gtsummary'; Sjoberg DD et al. (2021) <doi:10.32614/RJ-2021-053>.

r-sdlrm 0.1.2
Propagated dependencies: r-rfast@2.1.5.2 r-formula@1.2-5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/rdmatheus/sdlrm
Licenses: GPL 3
Build system: r
Synopsis: Modified Skew Discrete Laplace Regression for Integer-Valued and Paired Discrete Data
Description:

Implementation of the modified skew discrete Laplace (SDL) regression model. The package provides a set of functions for a complete analysis of integer-valued data, where the dependent variable is assumed to follow a modified SDL distribution. This regression model is useful for the analysis of integer-valued data and experimental studies in which paired discrete observations are collected.

r-spnmf 0.1.1
Propagated dependencies: r-nmf@0.28
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SpNMF
Licenses: GPL 3
Build system: r
Synopsis: Supervised NMF
Description:

Non-negative Matrix Factorization(NMF) is a powerful tool for identifying the key features of microbial communities and a dimension-reduction method. When we are interested in the differences between the structures of two groups of communities, supervised NMF(Yun Cai, Hong Gu and Tobby Kenney (2017),<doi:10.1186/s40168-017-0323-1>) provides a better way to do this, while retaining all the advantages of NMF -- such as interpretability, and being based on a simple biological intuition.

r-strand 0.2.3
Propagated dependencies: r-yaml@2.3.10 r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-rglpk@0.6-5.1 r-r6@2.6.1 r-matrix@1.7-4 r-lubridate@1.9.4 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-arrow@22.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/strand-tech/strand
Licenses: GPL 3
Build system: r
Synopsis: Framework for Investment Strategy Simulation
Description:

This package provides a framework for performing discrete (share-level) simulations of investment strategies. Simulated portfolios optimize exposure to an input signal subject to constraints such as position size and factor exposure. For background see L. Chincarini and D. Kim (2010, ISBN:978-0-07-145939-6) "Quantitative Equity Portfolio Management".

r-segtest 2.0.0
Propagated dependencies: r-updog@2.1.6 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-nloptr@2.2.1 r-minqa@1.2.8 r-iterators@1.0.14 r-future@1.68.0 r-foreach@1.5.2 r-dorng@1.8.6.2 r-dofuture@1.1.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://dcgerard.github.io/segtest/
Licenses: GPL 3+
Build system: r
Synopsis: Tests for Segregation Distortion in Polyploids
Description:

This package provides tests for segregation distortion in F1 polyploid populations under different assumptions of meiosis. These tests can account for double reduction, partial preferential pairing, and genotype uncertainty through the use of genotype likelihoods. Parallelization support is provided. Details of these methods are described in Gerard et al. (2025a) <doi:10.1007/s00122-025-04816-z> and Gerard et al. (2025b) <doi:10.1101/2025.06.23.661114>. Part of this material is based upon work supported by the National Science Foundation under Grant No. 2132247. The opinions, findings, and conclusions or recommendations expressed are those of the author and do not necessarily reflect the views of the National Science Foundation.

r-sgapi 1.1.2
Propagated dependencies: r-xml2@1.5.0 r-sf@1.0-23 r-readr@2.1.6 r-magrittr@2.0.4 r-httr@1.4.7 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://defra-data-science-centre-of-excellence.github.io/sgapi/
Licenses: Expat
Build system: r
Synopsis: Aid Querying 'nomis' and 'Office for National Statistics Open Geography' APIs
Description:

Facilitates extraction of geospatial data from the Office for National Statistics Open Geography and nomis Application Programming Interfaces (APIs). Simplifies process of querying nomis datasets <https://www.nomisweb.co.uk/> and extracting desired datasets in dataframe format. Extracts area shapefiles at chosen resolution from Office for National Statistics Open Geography <https://geoportal.statistics.gov.uk/>.

r-slowraker 0.1.1
Dependencies: openjdk@25
Propagated dependencies: r-snowballc@0.7.1 r-opennlp@0.2-7 r-nlp@0.3-2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://crew102.github.io/slowraker/index.html
Licenses: Expat
Build system: r
Synopsis: Slow Version of the Rapid Automatic Keyword Extraction (RAKE) Algorithm
Description:

This package provides a mostly pure-R implementation of the RAKE algorithm (Rose, S., Engel, D., Cramer, N. and Cowley, W. (2010) <doi:10.1002/9780470689646.ch1>), which can be used to extract keywords from documents without any training data.

r-stampr 0.3.1
Propagated dependencies: r-spdep@1.4-1 r-sf@1.0-23 r-rlang@1.1.6 r-lwgeom@0.2-14 r-geosphere@1.5-20 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/jedalong/stampr
Licenses: GPL 3
Build system: r
Synopsis: Spatial Temporal Analysis of Moving Polygons
Description:

Perform spatial temporal analysis of moving polygons; a longstanding analysis problem in Geographic Information Systems. Facilitates directional analysis, distance analysis, and some other simple functionality for examining spatial-temporal patterns of moving polygons.

r-srmdata 1.0.2
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SRMData
Licenses: GPL 2+
Build system: r
Synopsis: Data Files Supporting "Scientific Research and Methodology" by Peter K. Dunn (2025)
Description:

This package provides most of the data files used in the textbook "Scientific Research and Methodology" by Dunn (2025, ISBN: 9781032496726).

r-sarp-moodle 1.2.3
Propagated dependencies: r-magick@2.9.0 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SARP.moodle
Licenses: Artistic License 2.0
Build system: r
Synopsis: XML Output Functions for Easy Creation of Moodle Questions
Description:

This package provides a set of basic functions for creating Moodle XML output files suited for importing questions in Moodle (a learning management system, see <https://moodle.org/> for more information).

r-sar 1.0.4
Propagated dependencies: r-rcppparallel@5.1.11-1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-r6@2.6.1 r-matrix@1.7-4 r-jsonlite@2.0.0 r-httr@1.4.7 r-dplyr@1.1.4 r-azurestor@3.7.1 r-azurermr@2.4.5
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/hongooi73/SAR
Licenses: Expat
Build system: r
Synopsis: Smart Adaptive Recommendations
Description:

Smart Adaptive Recommendations (SAR) is the name of a fast, scalable, adaptive algorithm for personalized recommendations based on user transactions and item descriptions. It produces easily explainable/interpretable recommendations and handles "cold item" and "semi-cold user" scenarios. This package provides two implementations of SAR': a standalone implementation, and an interface to a web service in Microsoft's Azure cloud: <https://github.com/Microsoft/Product-Recommendations/blob/master/doc/sar.md>. The former allows fast and easy experimentation, and the latter provides robust scalability and extra features for production use.

r-ssvs 2.1.0
Propagated dependencies: r-rlang@1.1.6 r-magrittr@2.0.4 r-gridextra@2.3 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-checkmate@2.3.3 r-boomspikeslab@1.2.7 r-bayestestr@0.17.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/sabainter/SSVS
Licenses: GPL 3
Build system: r
Synopsis: Functions for Stochastic Search Variable Selection (SSVS)
Description:

This package provides functions for performing stochastic search variable selection (SSVS) for binary and continuous outcomes and visualizing the results. SSVS is a Bayesian variable selection method used to estimate the probability that individual predictors should be included in a regression model. Using MCMC estimation, the method samples thousands of regression models in order to characterize the model uncertainty regarding both the predictor set and the regression parameters. For details see Bainter, McCauley, Wager, and Losin (2020) Improving practices for selecting a subset of important predictors in psychology: An application to predicting pain, Advances in Methods and Practices in Psychological Science 3(1), 66-80 <DOI:10.1177/2515245919885617>.

r-safetydata 1.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=safetyData
Licenses: Expat
Build system: r
Synopsis: Clinical Trial Data
Description:

Example clinical trial data sets formatted for easy use in R.

r-sslasso 1.2.3
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://doi.org/10.1080/01621459.2016.1260469
Licenses: GPL 3
Build system: r
Synopsis: The Spike-and-Slab LASSO
Description:

Efficient coordinate ascent algorithm for fitting regularization paths for linear models penalized by Spike-and-Slab LASSO of Rockova and George (2018) <doi:10.1080/01621459.2016.1260469>.

r-simule 1.3.0
Propagated dependencies: r-pcapp@2.0-5 r-lpsolve@5.6.23 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/QData/SIMULE
Licenses: GPL 2
Build system: r
Synopsis: Constrained L1 Minimization Approach for Estimating Multiple Sparse Gaussian or Nonparanormal Graphical Models
Description:

This is an R implementation of a constrained l1 minimization approach for estimating multiple Sparse Gaussian or Nonparanormal Graphical Models (SIMULE). The SIMULE algorithm can be used to estimate multiple related precision matrices. For instance, it can identify context-specific gene networks from multi-context gene expression datasets. By performing data-driven network inference from high-dimensional and heterogenous data sets, this tool can help users effectively translate aggregated data into knowledge that take the form of graphs among entities. Please run demo(simuleDemo) to learn the basic functions provided by this package. For further details, please read the original paper: Beilun Wang, Ritambhara Singh, Yanjun Qi (2017) <DOI:10.1007/s10994-017-5635-7>.

r-schorsch 1.11
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://www.tqmp.org/RegularArticles/vol12-2/p147/index.html
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Tools for Analyzing Factorial Experiments
Description:

Offers a helping hand to psychologists and other behavioral scientists who routinely deal with experimental data from factorial experiments. It includes several functions to format output from other R functions according to the style guidelines of the APA (American Psychological Association). This formatted output can be copied directly into manuscripts to facilitate data reporting. These features are backed up by a toolkit of several small helper functions, e.g., offering out-of-the-box outlier removal. The package lends its name to Georg "Schorsch" Schuessler, ingenious technician at the Department of Psychology III, University of Wuerzburg. For details on the implemented methods, see Roland Pfister and Markus Janczyk (2016) <doi: 10.20982/tqmp.12.2.p147>.

r-shiftconvolvepoibin 1.0.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=ShiftConvolvePoibin
Licenses: GPL 2+
Build system: r
Synopsis: Exactly Computing the Tail of the Poisson-Binomial Distribution
Description:

An exact method for computing the Poisson-Binomial Distribution (PBD). The package provides a function for generating a random sample from the PBD, as well as two distinct approaches for computing the density, distribution, and quantile functions of the PBD. The first method uses direct-convolution, or a dynamic-programming approach which is numerically stable but can be slow for a large input due to its quadratic complexity. The second method is much faster on large inputs thanks to its use of Fast Fourier Transform (FFT) based convolutions. Notably in this case the package uses an exponential shift to practically guarantee the relative accuracy of the computation of an arbitrarily small tail of the PBD -- something that FFT-based methods often struggle with. This ShiftConvolvePoiBin method is described in Peres, Lee and Keich (2020) <arXiv:2004.07429> where it is also shown to be competitive with the fastest implementations for exactly computing the entire Poisson-Binomial distribution.

r-subniche 1.6
Propagated dependencies: r-wordcloud@2.6 r-polyclip@1.10-7 r-ade4@1.7-23
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=subniche
Licenses: GPL 2+
Build system: r
Synopsis: Within Outlying Mean Indexes: Refining the 'OMI' Analysis
Description:

Complementary indexes calculation to the Outlying Mean Index analysis to explore niche shift of a community and biological constraint within an Euclidean space, with graphical displays. For details see Karasiewicz et al. (2017) <doi:10.7717/peerj.3364>.

r-scipub 1.3.0
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-purrr@1.2.0 r-ggplot2@4.0.1 r-ggdist@3.3.3 r-forcats@1.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/dpagliaccio/scipub
Licenses: GPL 3
Build system: r
Synopsis: Summarize Data for Scientific Publication
Description:

Create and format tables and APA statistics for scientific publication. This includes making a Table 1 to summarize demographics across groups, correlation tables with significance indicated by stars, and extracting formatted statistical summarizes from simple tests for in-text notation. The package also includes functions for Winsorizing data based on a Z-statistic cutoff.

r-scbiclust 1.0.2
Propagated dependencies: r-sparcl@1.0.4 r-sigclust@1.1.0.1
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://cran.r-project.org/package=SCBiclust
Licenses: Expat
Build system: r
Synopsis: Identifies Mean, Variance, and Hierarchically Clustered Biclusters
Description:

Identifies a bicluster, a submatrix of the data such that the features and observations within the submatrix differ from those not contained in submatrix, using a two-step method. In the first step, observations in the bicluster are identified to maximize the sum of weighted between cluster feature differences. The method is described in Helgeson et al. (2020) <doi:10.1111/biom.13136>. SCBiclust can be used to identify biclusters which differ based on feature means, feature variances, or more general differences.

r-supportr 1.6.0
Propagated dependencies: r-vegan@2.7-2 r-tidyr@1.3.1 r-stringr@1.6.0 r-stringi@1.8.7 r-scales@1.4.0 r-rmarkdown@2.30 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-googledrive@2.1.2 r-gh@1.5.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-data-tree@1.2.0
Channel: guix-cran
Location: guix-cran/packages/s.scm (guix-cran packages s)
Home page: https://github.com/njlyon0/supportR
Licenses: Expat
Build system: r
Synopsis: Support Functions for Wrangling and Visualization
Description:

Suite of helper functions for data wrangling and visualization. The only theme for these functions is that they tend towards simple, short, and narrowly-scoped. These functions are built for tasks that often recur but are not large enough in scope to warrant an ecosystem of interdependent functions.

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