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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-acro 0.1.7
Dependencies: python@3.11.14
Propagated dependencies: r-reticulate@1.44.1 r-png@0.1-8 r-admiraldev@1.4.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/AI-SDC/ACRO-R
Licenses: Expat
Build system: r
Synopsis: Tool for Semi-Automating the Statistical Disclosure Control of Research Outputs
Description:

This package provides a Tool for Semi-Automating the Statistical Disclosure Control of Research Outputs.

r-anom 0.5
Propagated dependencies: r-simcomp@3.6 r-nparcomp@3.0 r-multcomp@1.4-29 r-mcpan@1.1-21 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/PhilipPallmann/ANOM
Licenses: GPL 2+
Build system: r
Synopsis: Analysis of Means
Description:

Analysis of means (ANOM) as used in technometrical computing. The package takes results from multiple comparisons with the grand mean (obtained with multcomp', SimComp', nparcomp', or MCPAN') or corresponding simultaneous confidence intervals as input and produces ANOM decision charts that illustrate which group means deviate significantly from the grand mean.

r-aifeducation 1.1.3
Dependencies: python-pytorch@2.9.0
Propagated dependencies: r-stringi@1.8.7 r-rlang@1.1.6 r-reticulate@1.44.1 r-reshape2@1.4.5 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-iotarelr@0.1.7 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://fberding.github.io/aifeducation/
Licenses: GPL 3
Build system: r
Synopsis: Artificial Intelligence for Education
Description:

In social and educational settings, the use of Artificial Intelligence (AI) is a challenging task. Relevant data is often only available in handwritten forms, or the use of data is restricted by privacy policies. This often leads to small data sets. Furthermore, in the educational and social sciences, data is often unbalanced in terms of frequencies. To support educators as well as educational and social researchers in using the potentials of AI for their work, this package provides a unified interface for neural nets in PyTorch to deal with natural language problems. In addition, the package ships with a shiny app, providing a graphical user interface. This allows the usage of AI for people without skills in writing python/R scripts. The tools integrate existing mathematical and statistical methods for dealing with small data sets via pseudo-labeling (e.g. Cascante-Bonilla et al. (2020) <doi:10.48550/arXiv.2001.06001>) and imbalanced data via the creation of synthetic cases (e.g. Islam et al. (2012) <doi:10.1016/j.asoc.2021.108288>). Performance evaluation of AI is connected to measures from content analysis which educational and social researchers are generally more familiar with (e.g. Berding & Pargmann (2022) <doi:10.30819/5581>, Gwet (2014) <ISBN:978-0-9708062-8-4>, Krippendorff (2019) <doi:10.4135/9781071878781>). Estimation of energy consumption and CO2 emissions during model training is done with the python library codecarbon'. Finally, all objects created with this package allow to share trained AI models with other people.

r-animl 3.2.0
Propagated dependencies: r-reticulate@1.44.1 r-pbapply@1.7-4
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=animl
Licenses: Expat
Build system: r
Synopsis: Collection of ML Tools for Conservation Research
Description:

This package provides functions required to classify subjects within camera trap field data. The package can handle both images and videos. The authors recommend a two-step approach using Microsoft's MegaDector model and then a second model trained on the classes of interest.

r-adcontabil 1.1.8
Propagated dependencies: r-stringi@1.8.7 r-magrittr@2.0.4 r-dplyr@1.1.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/LissandroSousa/adcontabil.R
Licenses: Expat
Build system: r
Synopsis: Accounting Analysis
Description:

This package provides methods for processing corporate balance sheets with a focus on the Brazilian reporting format. Includes data standardization, classification by accounting categories, and aggregation of values. Supports accounting and financial analyses of companies, improving efficiency and ensuring reproducibility of empirical studies.

r-aspline 0.2.0
Propagated dependencies: r-tidyr@1.3.1 r-splines2@0.5.4 r-rlang@1.1.6 r-rcpp@1.1.0 r-mgcv@1.9-4 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/goepp/aspline
Licenses: GPL 3
Build system: r
Synopsis: Spline Regression with Adaptive Knot Selection
Description:

Perform one-dimensional spline regression with automatic knot selection. This package uses a penalized approach to select the most relevant knots. B-splines of any degree can be fitted. More details in Goepp et al. (2018)', "Spline Regression with Automatic Knot Selection", <arXiv:1808.01770>.

r-antaresprocessing 0.18.3
Propagated dependencies: r-data-table@1.17.8 r-antaresread@3.0.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/rte-antares-rpackage/antaresProcessing
Licenses: GPL 3+
Build system: r
Synopsis: 'Antares' Results Processing
Description:

Process results generated by Antares', a powerful open source software developed by RTE (Réseau de Transport dâ à lectricité) to simulate and study electric power systems (more information about Antares here: <https://github.com/AntaresSimulatorTeam/Antares_Simulator>). This package provides functions to create new columns like net load, load factors, upward and downward margins or to compute aggregated statistics like economic surpluses of consumers, producers and sectors.

r-akc 0.9.9.3
Propagated dependencies: r-tidytext@0.4.3 r-tidygraph@1.3.1 r-tidyfst@1.8.3 r-tibble@3.3.0 r-textstem@0.1.4 r-stringr@1.6.0 r-rlang@1.1.6 r-magrittr@2.0.4 r-igraph@2.2.1 r-ggwordcloud@0.6.2 r-ggraph@2.2.2 r-ggplot2@4.0.1 r-ggforce@0.5.0 r-dplyr@1.1.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/hope-data-science/akc
Licenses: Expat
Build system: r
Synopsis: Automatic Knowledge Classification
Description:

This package provides a tidy framework for automatic knowledge classification and visualization. Currently, the core functionality of the framework is mainly supported by modularity-based clustering (community detection) in keyword co-occurrence network, and focuses on co-word analysis of bibliometric research. However, the designed functions in akc are general, and could be extended to solve other tasks in text mining as well.

r-agua 0.1.4
Propagated dependencies: r-workflows@1.3.0 r-vctrs@0.6.5 r-tune@2.0.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-rsample@1.3.1 r-rlang@1.1.6 r-purrr@1.2.0 r-pkgconfig@2.0.3 r-parsnip@1.3.3 r-hardhat@1.4.2 r-h2o@3.44.0.3 r-glue@1.8.0 r-ggplot2@4.0.1 r-generics@0.1.4 r-dplyr@1.1.4 r-dials@1.4.2 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://agua.tidymodels.org/
Licenses: Expat
Build system: r
Synopsis: 'tidymodels' Integration with 'h2o'
Description:

Create and evaluate models using tidymodels and h2o <https://h2o.ai/>. The package enables users to specify h2o as an engine for several modeling methods.

r-automatedreclin 1.0.1
Propagated dependencies: r-reclin2@0.6.0 r-purrr@1.2.0 r-nleqslv@3.3.5 r-fixedpoint@0.6.3 r-densityratio@0.2.2 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/ncn-foreigners/automatedRecLin
Licenses: GPL 3
Build system: r
Synopsis: Record Linkage Based on an Entropy-Maximizing Classifier
Description:

The goal of automatedRecLin is to perform record linkage (also known as entity resolution) in unsupervised or supervised settings. It compares pairs of records from two datasets using selected comparison functions to estimate the probability or density ratio between matched and non-matched records. Based on these estimates, it predicts a set of matches that maximizes entropy. For details see: Lee et al. (2022) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2022001/article/00007-eng.htm>, Vo et al. (2023) <https://ideas.repec.org/a/eee/csdana/v179y2023ics0167947322002365.html>, Sugiyama et al. (2008) <doi:10.1007/s10463-008-0197-x>.

r-autogo 1.0.3
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-textshape@1.7.5 r-summarizedexperiment@1.40.0 r-stringr@1.6.0 r-reshape2@1.4.5 r-readr@2.1.6 r-rcolorbrewer@1.1-3 r-purrr@1.2.0 r-openxlsx@4.2.8.1 r-msigdbr@25.1.1 r-gsva@2.4.1 r-ggrepel@0.9.6 r-ggplot2@4.0.1 r-enrichr@3.4 r-dplyr@1.1.4 r-dichromat@2.0-0.1 r-deseq2@1.50.2 r-complexheatmap@2.26.0 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=autoGO
Licenses: Expat
Build system: r
Synopsis: Auto-GO: Reproducible, Robust and High Quality Ontology Enrichment Visualizations
Description:

Auto-GO is a framework that enables automated, high quality Gene Ontology enrichment analysis visualizations. It also features a handy wrapper for Differential Expression analysis around the DESeq2 package described in Love et al. (2014) <doi:10.1186/s13059-014-0550-8>. The whole framework is structured in different, independent functions, in order to let the user decide which steps of the analysis to perform and which plot to produce.

r-airscreen 0.1.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/Logic314/Air-HOLP
Licenses: Expat
Build system: r
Synopsis: Feature Screening via Adaptive Iterative Ridge (Air-HOLP and Air-OLS)
Description:

This package implements two complementary high-dimensional feature screening methods, Adaptive Iterative Ridge High-dimensional Ordinary Least-squares Projection (Air-HOLP, suitable when the number of predictors p is greater than or equal to the sample size n) and Adaptive Iterative Ridge Ordinary Least Squares (Air-OLS, for n greater than p). Also provides helper functions to generate compound-symmetry and AR(1) correlated data, plus a unified Air() front end and a summary method. For methodological details see Joudah, Muller and Zhu (2025) <doi:10.1007/s11222-025-10599-6>.

r-anglercreelsurveysimulation 1.0.3
Propagated dependencies: r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/stevenranney/AnglerCreelSurveySimulation
Licenses: GPL 3
Build system: r
Synopsis: Simulate a Bus Route Creel Survey of Anglers
Description:

Simulate an angler population, sample the simulated population with a user-specified survey times, and calculate metrics from a bus route-type creel survey.

r-argus 0.1.1
Propagated dependencies: r-runuran@0.41
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=argus
Licenses: GPL 2+
Build system: r
Synopsis: Random Variate Generator for the Argus Distribution
Description:

Random variate generation, density, CDF and quantile function for the Argus distribution. Especially, it includes for random variate generation a flexible inversion method that is also fast in the varying parameter case. A Ratio-of-Uniforms method is provided as second alternative.

r-amylogram 1.1
Propagated dependencies: r-shiny@1.11.1 r-seqinr@4.2-36 r-ranger@0.17.0 r-biogram@1.6.3
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/michbur/AmyloGram
Licenses: GPL 3
Build system: r
Synopsis: Prediction of Amyloid Proteins
Description:

Predicts amyloid proteins using random forests trained on the n-gram encoded peptides. The implemented algorithm can be accessed from both the command line and shiny-based GUI.

r-abwm 0.1.0
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=abwm
Licenses: Expat
Build system: r
Synopsis: Ansari-Bradley Test with Arbitrarily Missing Data
Description:

This package performs the two-sample Ansariâ Bradley test (Ansari & Bradley, 1960 <https://www.jstor.org/stable/2237814>) for univariate, distinct data in the presence of missing values, as described in Zeng et al. (2025) <doi:10.48550/arXiv.2509.20332>. This method does not make any assumptions about the missingness mechanisms and controls the Type I error regardless of the missing values by taking all possible missing values into account.

r-apex 1.0.7
Propagated dependencies: r-phangorn@2.12.1 r-ape@5.8-1 r-adegenet@2.1.11
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://github.com/thibautjombart/apex
Licenses: GPL 2+
Build system: r
Synopsis: Phylogenetic Methods for Multiple Gene Data
Description:

Toolkit for the analysis of multiple gene data (Jombart et al. 2017) <doi:10.1111/1755-0998.12567>. apex implements the new S4 classes multidna', multiphyDat and associated methods to handle aligned DNA sequences from multiple genes.

r-alr4 1.0.7
Propagated dependencies: r-effects@4.2-4 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: http://z.umn.edu/alr4ed
Licenses: GPL 2+
Build system: r
Synopsis: Data to Accompany Applied Linear Regression 4th Edition
Description:

Datasets to Accompany S. Weisberg (2014), "Applied Linear Regression," 4th edition. Many data files in this package are included in the alr3 package as well, so only one of them should be used.

r-anabel 3.0.2
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-reshape2@1.4.5 r-qpdf@1.4.1 r-purrr@1.2.0 r-progress@1.2.3 r-openxlsx@4.2.8.1 r-minpack-lm@1.2-4 r-kableextra@1.4.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=anabel
Licenses: GPL 3
Build system: r
Synopsis: Analysis of Binding Events + l
Description:

This package provides a free software for a fast and easy analysis of 1:1 molecular interaction studies. This package is suitable for a high-throughput data analysis. Both the online app and the package are completely open source. You provide a table of sensogram, tell anabel which method to use, and it takes care of all fitting details. The first two releases of anabel were created and implemented as in (<doi:10.1177/1177932218821383>, <doi:10.1093/database/baz101>).

r-actuaryr 1.1.1
Propagated dependencies: r-tibble@3.3.0 r-purrr@1.2.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-dplyr@1.1.4 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=actuaryr
Licenses: Expat
Build system: r
Synopsis: Develop Actuarial Models
Description:

Actuarial reports are prepared for the last day of a specific period, such as a month, a quarter or a year. Actuarial models assume that certain events happen at the beginning or end of periods. The package contains functions to easily refer to the first or last (working) day within a specific period relative to a base date to facilitate actuarial reporting and to compare results.

r-amelie 0.2.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=amelie
Licenses: GPL 3+
Build system: r
Synopsis: Anomaly Detection with Normal Probability Functions
Description:

This package implements anomaly detection as binary classification for cross-sectional data. Uses maximum likelihood estimates and normal probability functions to classify observations as anomalous. The method is presented in the following lecture from the Machine Learning course by Andrew Ng: <https://www.coursera.org/learn/machine-learning/lecture/C8IJp/algorithm/>, and is also described in: Aleksandar Lazarevic, Levent Ertoz, Vipin Kumar, Aysel Ozgur, Jaideep Srivastava (2003) <doi:10.1137/1.9781611972733.3>.

r-anthropmmd 4.1.0
Propagated dependencies: r-smacof@2.1-7 r-shiny@1.11.1 r-scatterplot3d@0.3-44 r-rlang@1.1.6 r-plotrix@3.8-13 r-mass@7.3-65 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://gitlab.com/f-santos/anthropmmd/
Licenses: FSDG-compatible FSDG-compatible
Build system: r
Synopsis: An R Package for the Mean Measure of Divergence (MMD)
Description:

Offers a graphical user interface for the calculation of the mean measure of divergence, with facilities for trait selection and graphical representations <doi:10.1002/ajpa.23336>.

r-aid 3.1
Propagated dependencies: r-tseries@0.10-58 r-stringr@1.6.0 r-psych@2.5.6 r-nortest@1.0-4 r-meta@8.2-1 r-mass@7.3-65 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://cran.r-project.org/package=AID
Licenses: GPL 2+
Build system: r
Synopsis: Box-Cox Power Transformation
Description:

This package performs Box-Cox power transformation for different purposes, graphical approaches, assesses the success of the transformation via tests and plots, computes mean and confidence interval for back transformed data.

r-aroma-cn 1.7.1
Propagated dependencies: r-r-utils@2.13.0 r-r-oo@1.27.1 r-r-methodss3@1.8.2 r-r-filesets@2.15.1 r-r-cache@0.17.0 r-pscbs@0.68.0 r-matrixstats@1.5.0 r-future-apply@1.20.0 r-aroma-core@3.3.2
Channel: guix-cran
Location: guix-cran/packages/a.scm (guix-cran packages a)
Home page: https://www.aroma-project.org/
Licenses: LGPL 2.1+
Build system: r
Synopsis: Copy-Number Analysis of Large Microarray Data Sets
Description:

This package provides methods for analyzing DNA copy-number data. Specifically, this package implements the multi-source copy-number normalization (MSCN) method for normalizing copy-number data obtained on various platforms and technologies. It also implements the TumorBoost method for normalizing paired tumor-normal SNP data.

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