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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-dhsic 2.1
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dHSIC
Licenses: GPL 3
Build system: r
Synopsis: Independence Testing via Hilbert Schmidt Independence Criterion
Description:

This package contains an implementation of the d-variable Hilbert Schmidt independence criterion and several hypothesis tests based on it, as described in Pfister et al. (2017) <doi:10.1111/rssb.12235>.

r-doofa 1.0
Propagated dependencies: r-lpsolve@5.6.23 r-combinat@0.0-8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=doofa
Licenses: GPL 2+
Build system: r
Synopsis: Designs for Order-of-Addition Experiments
Description:

This package provides a facility to generate efficient designs for order-of-additions experiments under pair-wise-order model, see Dennis K. J. Lin and Jiayu Peng (2019)."Order-of-addition experiments: A review and some new thoughts". Quality Engineering, 31:1, 49-59, <doi:10.1080/08982112.2018.1548021>. It also provides a facility to generate component orthogonal arrays under component position model, see Jian-Feng Yang, Fasheng Sun & Hongquan Xu (2020): "A Component Position Model, Analysis and Design for Order-of-Addition Experiments". Technometrics, <doi:10.1080/00401706.2020.1764394>.

r-decide 1.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DECIDE
Licenses: GPL 2+
Build system: r
Synopsis: DEComposition of Indirect and Direct Effects
Description:

Calculates various estimates for measures of educational differentials, the relative importance of primary and secondary effects in the creation of such differentials and compares the estimates obtained from two datasets.

r-dexisensitivity 1.0.2
Propagated dependencies: r-xml2@1.5.0 r-xml@3.99-0.20 r-testthat@3.3.0 r-plotrix@3.8-13 r-ggplot2@4.0.1 r-genalg@0.2.1 r-dplyr@1.1.4 r-algdesign@1.2.1.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dexisensitivity
Licenses: GPL 2+
Build system: r
Synopsis: 'DEXi' Decision Tree Analysis and Visualization
Description:

This package provides a versatile toolkit for analyzing and visualizing DEXi (Decision EXpert for education) decision trees, facilitating multi-criteria decision analysis directly within R. Users can read .dxi files, manipulate decision trees, and evaluate various scenarios. It supports sensitivity analysis through Monte Carlo simulations, one-at-a-time approaches, and variance-based methods, helping to discern the impact of input variations. Additionally, it includes functionalities for generating sampling plans and an array of visualization options for decision trees and analysis results. A distinctive feature is the synoptic table plot, aiding in the efficient comparison of scenarios. Whether for in-depth decision modeling or sensitivity analysis, this package stands as a comprehensive solution. Definition of sensitivity analyses available in Carpani, Bergez and Monod (2012) <doi:10.1016/j.envsoft.2011.10.002> and detailed description of the package soon available in Alaphilippe et al. (2025) <doi:10.1016/j.simpa.2024.100729>.

r-date 1.2-43
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=date
Licenses: GPL 2
Build system: r
Synopsis: Functions for Handling Dates
Description:

This package provides functions for handling dates.

r-doem 0.0.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DOEM
Licenses: Expat
Build system: r
Synopsis: The Distributed Online Expectation Maximization Algorithms to Solve Parameters of Poisson Mixture Models
Description:

The distributed online expectation maximization algorithms are used to solve parameters of Poisson mixture models. The philosophy of the package is described in Guo, G. (2022) <doi:10.1080/02664763.2022.2053949>.

r-dompi 0.2.2
Propagated dependencies: r-rmpi@0.7-3.3 r-iterators@1.0.14 r-foreach@1.5.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=doMPI
Licenses: GPL 2
Build system: r
Synopsis: Foreach Parallel Adaptor for the Rmpi Package
Description:

This package provides a parallel backend for the %dopar% function using the Rmpi package.

r-deliberr 0.1.0
Propagated dependencies: r-uuid@1.2-1 r-tidyr@1.3.1 r-tibble@3.3.0 r-shiny@1.11.1 r-rstatix@0.7.3 r-rlang@1.1.6 r-readr@2.1.6 r-purrr@1.2.0 r-psych@2.5.6 r-lifecycle@1.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-glue@1.8.0 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/gumbelino/deliberr
Licenses: Expat
Build system: r
Synopsis: Methods for Deliberation Analysis
Description:

An implementation of deliberative reasoning index (DRI) and related tools for analysis of deliberation survey data. Calculation of DRI, plot of intersubjective correlations (IC), generation of large-language model (LLM) survey data, and permutation tests are supported. Example datasets and a graphical user interface (GUI) are also available to support analysis. For more information, see Niemeyer and Veri (2022) <doi:10.1093/oso/9780192848925.003.0007>.

r-datastudio 1.2.3
Propagated dependencies: r-scales@1.4.0 r-ggplot2@4.0.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://webhomes.maths.ed.ac.uk/~mdecarv/
Licenses: GPL 3+
Build system: r
Synopsis: The Research Data Warehouse of Miguel de Carvalho
Description:

Pulls together a collection of datasets from Miguel de Carvalho research articles and books. Including, for example: - de Carvalho (2012) <doi:10.1016/j.jspi.2011.08.016>; - de Carvalho et al (2012) <doi:10.1080/03610926.2012.709905>; - de Carvalho et al (2012) <doi:10.1016/j.econlet.2011.09.007>); - de Carvalho and Davison (2014) <doi:10.1080/01621459.2013.872651>; - de Carvalho and Rua (2017) <doi:10.1016/j.ijforecast.2015.09.004>; - de Carvalho et al (2023) <doi:10.1002/sta4.560>; - de Carvalho et al (2022) <doi:10.1007/s13253-021-00469-9>; - Palacios et al (2025) <doi:10.1214/24-BA1420>.

r-dbmodelselect 0.2.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/shkoeneman/DBModelSelect
Licenses: GPL 3
Build system: r
Synopsis: Distribution-Based Model Selection
Description:

Perform model selection using distribution and probability-based methods, including standardized AIC, BIC, and AICc. These standardized information criteria allow one to perform model selection in a way similar to the prevalent "Rule of 2" method, but formalize the method to rely on probability theory. A novel goodness-of-fit procedure for assessing linear regression models is also available. This test relies on theoretical properties of the estimated error variance for a normal linear regression model, and employs a bootstrap procedure to assess the null hypothesis that the fitted model shows no lack of fit. For more information, see Koeneman and Cavanaugh (2023) <arXiv:2309.10614>. Functionality to perform all subsets linear or generalized linear regression is also available.

r-dam 0.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dam
Licenses: CC0
Build system: r
Synopsis: Data Analysis Metabolomics
Description:

This package provides a collection of functions which aim to assist common computational workflow for analysis of matabolomic data..

r-dydea 0.1.0
Propagated dependencies: r-chaos01@1.2.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dydea
Licenses: GPL 3
Build system: r
Synopsis: Detection of Chaotic and Regular Intervals in the Data
Description:

Finds regular and chaotic intervals in the data using the 0-1 test for chaos proposed by Gottwald and Melbourne (2004) <DOI:10.1137/080718851>.

r-divraster 1.2.3
Propagated dependencies: r-terra@1.8-86 r-sf@1.0-23 r-sesraster@0.7.1 r-dplyr@1.1.4 r-bat@2.11.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/flaviomoc/divraster
Licenses: GPL 3+
Build system: r
Synopsis: Diversity Metrics Calculations for Rasterized Data
Description:

Alpha and beta diversity for taxonomic (TD), functional (FD), and phylogenetic (PD) dimensions based on rasters. Spatial and temporal beta diversity can be partitioned into replacement and richness difference components. It also calculates standardized effect size for FD and PD alpha diversity and the average individual traits across multilayer rasters. The layers of the raster represent species, while the cells represent communities. Methods details can be found at Cardoso et al. 2022 <https://CRAN.R-project.org/package=BAT> and Heming et al. 2023 <https://CRAN.R-project.org/package=SESraster>.

r-dark 0.9.9
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/emkayoh/Dark
Licenses: GPL 3
Build system: r
Synopsis: The Analysis of Dark Adaptation Data
Description:

The recovery of visual sensitivity in a dark environment is known as dark adaptation. In a clinical or research setting the recovery is typically measured after a dazzling flash of light and can be described by the Mahroo, Lamb and Pugh (MLP) model of dark adaptation. The functions in this package take dark adaptation data and use nonlinear regression to find the parameters of the model that best describe the data. They do this by firstly, generating rapid initial objective estimates of data adaptation parameters, then a multi-start algorithm is used to reduce the possibility of a local minimum. There is also a bootstrap method to calculate parameter confidence intervals. The functions rely upon a dark list or object. This object is created as the first step in the workflow and parts of the object are updated as it is processed.

r-discover 3.1.7
Propagated dependencies: r-shinyjs@2.1.0 r-shinydashboardplus@2.0.6 r-shinydashboard@0.7.3 r-shinycustomloader@0.9.0 r-shinyace@0.4.4 r-shiny@1.11.1 r-rlang@1.1.6 r-plotly@4.11.0 r-loader@1.3.0 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-golem@0.5.1 r-ggplot2@4.0.1 r-ggdendro@0.2.0 r-factominer@2.12 r-echarts4r@0.5.0 r-dt@0.34.0 r-config@0.3.2 r-colourpicker@1.3.0 r-cluster@2.1.8.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://promidat.website/
Licenses: GPL 2+
Build system: r
Synopsis: Exploratory Data Analysis System
Description:

This package performs an exploratory data analysis through a shiny interface. It includes basic methods such as the mean, median, mode, normality test, among others. It also includes clustering techniques such as Principal Components Analysis, Hierarchical Clustering and the K-Means Method.

r-datasimilarity 0.3.0
Propagated dependencies: r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DataSimilarity
Licenses: GPL 3+
Build system: r
Synopsis: Quantifying Similarity of Datasets and Multivariate Two- And k-Sample Testing
Description:

This package provides a collection of methods for quantifying the similarity of two or more datasets, many of which can be used for two- or k-sample testing. It provides newly implemented methods as well as wrapper functions for existing methods that enable calling many different methods in a unified framework. The methods were selected from the review and comparison of Stolte et al. (2024) <doi:10.1214/24-SS149>. An empirical comparison of the methods for categorical data was performed in Stolte et al. (2025) <doi:10.17877/DE290R-25572>.

r-d3tree 0.3.0
Propagated dependencies: r-tidyselect@1.2.1 r-tibble@3.3.0 r-htmlwidgets@1.6.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/yonicd/d3Tree
Licenses: Expat
Build system: r
Synopsis: Create Interactive Collapsible Trees with the JavaScript 'D3' Library
Description:

Create and customize interactive collapsible D3 trees using the D3 JavaScript library and the htmlwidgets package. These trees can be used directly from the R console, from RStudio', in Shiny apps and R Markdown documents. When in Shiny the tree layout is observed by the server and can be used as a reactive filter of structured data.

r-datasetsverse 0.1.0
Propagated dependencies: r-timeseriesdatasets@0.1.0 r-oncodatasets@0.1.0 r-meddatasets@0.1.0 r-educationr@0.1.0 r-crimedatasets@0.1.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/lightbluetitan/datasetsverse
Licenses: GPL 3
Build system: r
Synopsis: Metapackage for Thematic and Domain-Specific Datasets
Description:

This package provides a metapackage that brings together a curated collection of R packages containing domain-specific datasets. It includes time series data, educational metrics, crime records, medical datasets, and oncology research data. Designed to provide researchers, analysts, educators, and data scientists with centralized access to structured and well-documented datasets, this metapackage facilitates reproducible research, data exploration, and teaching applications across a wide range of domains. Included packages: - timeSeriesDataSets': Time series data from economics, finance, energy, and healthcare. - educationR': Datasets related to education, learning outcomes, and school metrics. - crimedatasets': Datasets on global and local crime and criminal behavior. - MedDataSets': Datasets related to medicine, public health, treatments, and clinical trials. - OncoDataSets': Datasets focused on cancer research, survival, genetics, and biomarkers.

r-dartr-popgen 1.0.0
Propagated dependencies: r-stringr@1.6.0 r-patchwork@1.3.2 r-mass@7.3-65 r-ggplot2@4.0.1 r-ggdendro@0.2.0 r-future@1.68.0 r-furrr@0.3.1 r-dplyr@1.1.4 r-data-table@1.17.8 r-dartr-data@1.0.8 r-dartr-base@1.0.7 r-crayon@1.5.3 r-adegenet@2.1.11
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://green-striped-gecko.github.io/dartR/
Licenses: GPL 3+
Build system: r
Synopsis: Analysing 'SNP' and 'Silicodart' Data Generated by Genome-Wide Restriction Fragment Analysis
Description:

Facilitates the analysis of SNP (single nucleotide polymorphism) and silicodart (presence/absence) data. dartR.popgen provides a suit of functions to analyse such data in a population genetics context. It provides several functions to calculate population genetic metrics and to study population structure. Quite a few functions need additional software to be able to run (gl.run.structure(), gl.blast(), gl.LDNe()). You find detailed description in the help pages how to download and link the packages so the function can run the software. dartR.popgen is part of the the dartRverse suit of packages. Gruber et al. (2018) <doi:10.1111/1755-0998.12745>. Mijangos et al. (2022) <doi:10.1111/2041-210X.13918>.

r-diffee 1.1.0
Propagated dependencies: r-pcapp@2.0-5 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/QData/DIFFEE
Licenses: GPL 2
Build system: r
Synopsis: Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure
Description:

This is an R implementation of Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure (DIFFEE). The DIFFEE algorithm can be used to fast estimate the differential network between two related datasets. For instance, it can identify differential gene network from datasets of case and control. By performing data-driven network inference from two high-dimensional data sets, this tool can help users effectively translate two aggregated data blocks into knowledge of the changes among entities between two Gaussian Graphical Model. Please run demo(diffeeDemo) to learn the basic functions provided by this package. For further details, please read the original paper: Beilun Wang, Arshdeep Sekhon, Yanjun Qi (2018) <arXiv:1710.11223>.

r-datapreparation 1.1.2
Propagated dependencies: r-stringr@1.6.0 r-progress@1.2.3 r-matrix@1.7-4 r-lubridate@1.9.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dataPreparation
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Automated Data Preparation
Description:

Do most of the painful data preparation for a data science project with a minimum amount of code; Take advantages of data.table efficiency and use some algorithmic trick in order to perform data preparation in a time and RAM efficient way.

r-decafs 3.3.5
Propagated dependencies: r-robustbase@0.99-6 r-rcpp@1.1.0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DeCAFS
Licenses: GPL 2+
Build system: r
Synopsis: Detecting Changes in Autocorrelated and Fluctuating Signals
Description:

Detect abrupt changes in time series with local fluctuations as a random walk process and autocorrelated noise as an AR(1) process. See Romano, G., Rigaill, G., Runge, V., Fearnhead, P. (2021) <doi:10.1080/01621459.2021.1909598>.

r-depons2r 1.2.8
Propagated dependencies: r-xml2@1.5.0 r-terra@1.8-86 r-sp@2.2-0 r-sf@1.0-23 r-raster@3.6-32 r-jsonlite@2.0.0 r-adehabitatlt@0.3.29 r-adehabitathr@0.4.22
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DEPONS2R
Licenses: GPL 3
Build system: r
Synopsis: Read, Plot and Analyse Output from the DEPONS Model
Description:

This package provides methods for analyzing population dynamics and movement tracks simulated using the DEPONS model <https://www.depons.eu> (v.3.0), for manipulating input raster files, shipping routes and for analyzing sound propagated from ships.

r-dundermifflin 0.1.1
Propagated dependencies: r-stringi@1.8.7 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dundermifflin
Licenses: Expat
Build system: r
Synopsis: The Office Quotes on-Demand
Description:

This package provides functions to randomly select, return, and print quotes or entire scenes from the American version of the show the Office. Receive laughs from one of of the greatest sitcoms of all time on demand. Add these functions to your .Rprofile to get a good laugh everytime you start a new R session.

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