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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-devore7 0.7.6
Propagated dependencies: r-mass@7.3-65 r-lattice@0.22-7
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=Devore7
Licenses: GPL 2+
Build system: r
Synopsis: Data sets from Devore's "Prob and Stat for Eng (7th ed)"
Description:

Data sets and sample analyses from Jay L. Devore (2008), "Probability and Statistics for Engineering and the Sciences (7th ed)", Thomson.

r-douconca 1.2.5
Propagated dependencies: r-vegan@2.7-2 r-rlang@1.1.6 r-permute@0.9-8 r-gridextra@2.3 r-ggrepel@0.9.6 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://zenodo.org/records/13970152
Licenses: GPL 3
Build system: r
Synopsis: Double Constrained Correspondence Analysis for Trait-Environment Analysis in Ecology
Description:

Double constrained correspondence analysis (dc-CA) analyzes (multi-)trait (multi-)environment ecological data by using the vegan package and native R code. Throughout the two step algorithm of ter Braak et al. (2018) is used. This algorithm combines and extends community- (sample-) and species-level analyses, i.e. the usual community weighted means (CWM)-based regression analysis and the species-level analysis of species-niche centroids (SNC)-based regression analysis. The two steps use canonical correspondence analysis to regress the abundance data on to the traits and (weighted) redundancy analysis to regress the CWM of the orthonormalized traits on to the environmental predictors. The function dc_CA() has an option to divide the abundance data of a site by the site total, giving equal site weights. This division has the advantage that the multivariate analysis corresponds with an unweighted (multi-trait) community-level analysis, instead of being weighted. The first step of the algorithm uses vegan::cca(). The second step uses wrda() but vegan::rda() if the site weights are equal. This version has a predict() function. For details see ter Braak et al. 2018 <doi:10.1007/s10651-017-0395-x>. and ter Braak & van Rossum 2025 <doi:10.1016/j.ecoinf.2025.103143>.

r-dgp4lcf 1.0.0.1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-pheatmap@1.0.13 r-mvtnorm@1.3-3 r-gpfda@3.1.3 r-factor-switching@1.4 r-corrplot@0.95 r-combinat@0.0-8 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DGP4LCF
Licenses: Expat
Build system: r
Synopsis: Dependent Gaussian Processes for Longitudinal Correlated Factors
Description:

Functionalities for analyzing high-dimensional and longitudinal biomarker data to facilitate precision medicine, using a joint model of Bayesian sparse factor analysis and dependent Gaussian processes. This paper illustrates the method in detail: J Cai, RJB Goudie, C Starr, BDM Tom (2023) <doi:10.48550/arXiv.2307.02781>.

r-daisie 4.6.0
Propagated dependencies: r-testit@0.13 r-tensor@1.5.1 r-subplex@1.9 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-pracma@2.4.6 r-matrix@1.7-4 r-magrittr@2.0.4 r-foreach@1.5.2 r-doparallel@1.0.17 r-desolve@1.40 r-ddd@5.2.4 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/rsetienne/DAISIE
Licenses: GPL 3+ FSDG-compatible
Build system: r
Synopsis: Dynamical Assembly of Islands by Speciation, Immigration and Extinction
Description:

Simulates and computes the (maximum) likelihood of a dynamical model of island biota assembly through speciation, immigration and extinction. See Valente et al. (2015) <doi:10.1111/ele.12461>.

r-detectxor 0.1.0
Propagated dependencies: r-tibble@3.3.0 r-reshape2@1.4.5 r-magrittr@2.0.4 r-knitr@1.50 r-kableextra@1.4.0 r-htmltools@0.5.8.1 r-glue@1.8.0 r-ggthemes@5.1.0 r-ggplot2@4.0.1 r-ggh4x@0.3.1 r-dplyr@1.1.4 r-desctools@0.99.60 r-base64enc@0.1-3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/JornLotsch/detectXOR
Licenses: GPL 3
Build system: r
Synopsis: XOR Pattern Detection and Visualization
Description:

This package provides tools for detecting XOR-like patterns in variable pairs in two-class data sets. Includes visualizations for pattern exploration and reporting capabilities with both text and HTML output formats.

r-dstidyverseclient 1.0.3
Propagated dependencies: r-rlang@1.1.6 r-dsi@1.8.0 r-cli@3.6.5 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=dsTidyverseClient
Licenses: LGPL 3+
Build system: r
Synopsis: 'DataSHIELD' 'Tidyverse' Clientside Package
Description:

Implementation of selected Tidyverse functions within DataSHIELD', an open-source federated analysis solution in R. Currently, DataSHIELD contains very limited tools for data manipulation, so the aim of this package is to improve the researcher experience by implementing essential functions for data manipulation, including subsetting, filtering, grouping, and renaming variables. This is the clientside package which should be installed locally, and is used in conjuncture with the serverside package dsTidyverse which is installed on the remote server holding the data. For more information, see <https://tidyverse.org/> and <https://datashield.org/>.

r-duckduckr 1.0.0
Propagated dependencies: r-jsonlite@2.0.0 r-crul@1.6.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/dirkschumacher/duckduckr
Licenses: Expat
Build system: r
Synopsis: Simple Client for the DuckDuckGo Instant Answer API
Description:

Programmatic access to the DuckDuckGo Instant Answer API <https://api.duckduckgo.com/api>.

r-discursive 0.1.1
Propagated dependencies: r-tm@0.7-16 r-stringr@1.6.0 r-stm@1.3.8 r-snowballc@0.7.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=discursive
Licenses: GPL 3+
Build system: r
Synopsis: Measuring Discursive Sophistication in Open-Ended Survey Responses
Description:

This package provides a simple approach to measure political sophistication based on open-ended survey responses. Discursive sophistication captures the complexity of individual attitude expression by quantifying its relative size, range, and constraint. For more information on the measurement approach see: Kraft, Patrick W. 2023. "Women Also Know Stuff: Challenging the Gender Gap in Political Sophistication." American Political Science Review (forthcoming).

r-doconv 0.4.0
Dependencies: libreoffice@25.2.5.2
Propagated dependencies: r-processx@3.8.6 r-pdftools@3.6.0 r-magick@2.9.0 r-locatexec@0.1.1 r-gdtools@0.4.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=doconv
Licenses: Expat
Build system: r
Synopsis: Document Conversion to 'PDF', Thumbnails and Visual Testing
Description:

This package provides the ability to generate images from documents of different types. Three main features are provided: generating document thumbnails, performing visual tests of documents, and updating fields and tables of contents of a Microsoft Word or RTF document. Microsoft Word and/or LibreOffice must be installed on the machine. If Microsoft Word is available, it can produce PDF documents or images identical to the originals; otherwise LibreOffice is used and the rendering may sometimes differ from the original documents.

r-descsuppr 1.2
Propagated dependencies: r-tibble@3.3.0 r-rlang@1.1.6 r-rankfd@0.1.1 r-purrr@1.2.0 r-plyr@1.8.9 r-nparcomp@3.0 r-glue@1.8.0 r-foreach@1.5.2 r-dplyr@1.1.4 r-descutils@1.0 r-desctools@0.99.60 r-circular@0.5-2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=descsuppR
Licenses: GPL 3
Build system: r
Synopsis: Support Functions for (Reproducible) Descriptive Statistics
Description:

This package contains functions to help with generating tables with descriptive statistics. In addition, the package can display results of statistical tests for group comparisons. A wide range of test procedures is supported, and user-defined test functions can be incorporated.

r-dymep 0.1.2
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DyMEP
Licenses: LGPL 3+
Build system: r
Synopsis: Dynamic Multi Environment Phenology-Model
Description:

Mechanistically models/predicts the phenology (macro-phases) of 10 crop plants (trained on a big dataset over 80 years derived from the German weather service (DWD) <https://opendata.dwd.de/>). Can be applied for remote sensing purposes, dynamically check the best subset of available covariates for the given dataset and crop.

r-dcetool 1.2.1
Propagated dependencies: r-writexl@1.5.4 r-usethis@3.2.1 r-survival@3.8-3 r-shinywidgets@0.9.0 r-shinyhelper@0.3.2 r-shinycssloaders@1.1.0 r-shinybs@0.61.1 r-shiny@1.11.1 r-rlist@0.4.6.2 r-remotes@2.5.0 r-readxl@1.4.5 r-mvtnorm@1.3-3 r-magrittr@2.0.4 r-idefix@1.1.0 r-httr@1.4.7 r-htmltools@0.5.8.1 r-ggplot2@4.0.1 r-dt@0.34.0 r-adjustedcranlogs@0.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DCEtool
Licenses: GPL 3
Build system: r
Synopsis: Efficient and Accessible Discrete Choice Experiments
Description:

Design, conduct and analyze DCEs from a virtual interface in shiny. Reference: Perez-Troncoso, D. (2022) <https://github.com/danielpereztr/DCEtool>.

r-designsize 0.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=designsize
Licenses: GPL 3
Build system: r
Synopsis: Sample Size Calculation of Various Study Designs
Description:

Different sample size calculations with different study designs. These techniques are explained by Chow (2007) <doi:10.1201/9781584889830>.

r-depcensoring 0.1.8
Propagated dependencies: r-survival@3.8-3 r-splines2@0.5.4 r-rvinecopulib@0.7.3.1.0 r-rafalib@1.0.4 r-r6@2.6.1 r-pbivnorm@0.6.0 r-numderiv@2016.8-1.1 r-nloptr@2.2.1 r-nleqslv@3.3.5 r-mvtnorm@1.3-3 r-matrixcalc@1.0-6 r-matrix@1.7-4 r-mass@7.3-65 r-lubridate@1.9.4 r-foreach@1.5.2 r-envstats@3.1.0 r-doparallel@1.0.17 r-copula@1.1-7
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=depCensoring
Licenses: GPL 3
Build system: r
Synopsis: Statistical Methods for Survival Data with Dependent Censoring
Description:

Several statistical methods for analyzing survival data under various forms of dependent censoring are implemented in the package. In addition to accounting for dependent censoring, it offers tools to adjust for unmeasured confounding factors. The implemented approaches allow users to estimate the dependency between survival time and dependent censoring time, based solely on observed survival data. For more details on the methods, refer to Deresa and Van Keilegom (2021) <doi:10.1093/biomet/asaa095>, Czado and Van Keilegom (2023) <doi:10.1093/biomet/asac067>, Crommen et al. (2024) <doi:10.1007/s11749-023-00903-9>, Deresa and Van Keilegom (2024) <doi:10.1080/01621459.2022.2161387>, Willems et al. (2025) <doi:10.48550/arXiv.2403.11860>, Ding and Van Keilegom (2025) and D'Haen et al. (2025) <doi:10.1007/s10985-025-09647-0>.

r-densparcorr 1.1
Propagated dependencies: r-gplots@3.2.0 r-clime@0.5.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DensParcorr
Licenses: GPL 2
Build system: r
Synopsis: Dens-Based Method for Partial Correlation Estimation in Large Scale Brain Networks
Description:

Provide a Dens-based method for estimating functional connection in large scale brain networks using partial correlation.

r-dashboardthemes 1.1.6
Propagated dependencies: r-htmltools@0.5.8.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/nik01010/dashboardthemes
Licenses: Expat
Build system: r
Synopsis: Customise the Appearance of 'shinydashboard' Applications using Themes
Description:

Allows manual creation of themes and logos to be used in applications created using the shinydashboard package. Removes the need to change the underlying css code by wrapping it into a set of convenient R functions.

r-divemove 1.6.4
Propagated dependencies: r-unireg@1.1 r-quantreg@6.1 r-plotly@4.11.0 r-kernsmooth@2.23-26 r-geosphere@1.5-20
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/spluque/diveMove
Licenses: GPL 3
Build system: r
Synopsis: Dive Analysis and Calibration
Description:

Utilities to represent, visualize, filter, analyse, and summarize time-depth recorder (TDR) data. Miscellaneous functions for handling location data are also provided.

r-dng 0.2.1
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/feng-li/dng/
Licenses: GPL 2+
Build system: r
Synopsis: Distributions and Gradients
Description:

This package provides density, distribution function, quantile function and random generation for the split normal and split-t distributions, and computes their mean, variance, skewness and kurtosis for the two distributions (Li, F, Villani, M. and Kohn, R. (2010) <doi:10.1016/j.jspi.2010.04.031>).

r-doolkit 1.42.2
Propagated dependencies: r-usethis@3.2.1 r-tis@1.39 r-sp@2.2-0 r-rvcg@0.25 r-rgl@1.3.31 r-morpho@2.13 r-mass@7.3-65 r-igraph@2.2.1 r-ggplot2@4.0.1 r-concaveman@1.2.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=doolkit
Licenses: GPL 3
Build system: r
Synopsis: Exploration of Dental Surface Topography
Description:

This package provides tools for exploring the topography of 3d triangle meshes. The functions were developed with dental surfaces in mind, but could be applied to any triangle mesh of class mesh3d'. More specifically, doolkit allows to isolate the border of a mesh, or a subpart of the mesh using the polygon networks method; crop a mesh; compute basic descriptors (elevation, orientation, footprint area); compute slope, angularity and relief index (Ungar and Williamson (2000) <https://palaeo-electronica.org/2000_1/gorilla/issue1_00.htm>; Boyer (2008) <doi:10.1016/j.jhevol.2008.08.002>), inclination and occlusal relief index or gamma (Guy et al. (2013) <doi:10.1371/journal.pone.0066142>), OPC (Evans et al. (2007) <doi:10.1038/nature05433>), OPCR (Wilson et al. (2012) <doi:10.1038/nature10880>), DNE (Bunn et al. (2011) <doi:10.1002/ajpa.21489>; Pampush et al. (2016) <doi:10.1007/s10914-016-9326-0>), form factor (Horton (1932) <doi:10.1029/TR013i001p00350>), basin elongation (Schum (1956) <doi:10.1130/0016-7606(1956)67[597:EODSAS]2.0.CO;2>), lemniscate ratio (Chorley et al; (1957) <doi:10.2475/ajs.255.2.138>), enamel-dentine distance (Guy et al. (2015) <doi:10.1371/journal.pone.0138802>; Thiery et al. (2017) <doi:10.3389/fphys.2017.00524>), absolute crown strength (Schwartz et al. (2020) <doi:10.1098/rsbl.2019.0671>), relief rate (Thiery et al. (2019) <doi:10.1002/ajpa.23916>) and area-relative curvature; draw cumulative profiles of a topographic variable; and map a variable over a 3d triangle mesh.

r-dformula 1.0
Propagated dependencies: r-formula-tools@1.7.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/serafinialessio/dformula
Licenses: GPL 2+
Build system: r
Synopsis: Data Manipulation using Formula
Description:

This package provides a tool for manipulating data using the generic formula. A single formula allows to easily add, replace and remove variables before running the analysis.

r-distrdoc 2.8.5
Propagated dependencies: r-startupmsg@1.0.0 r-randvar@1.2.5 r-mass@7.3-65 r-distrtest@2.8.3 r-distrteach@2.9.2 r-distrsim@2.8.5 r-distrmod@2.9.7 r-distrex@2.9.6 r-distr@2.9.7
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: http://distr.r-forge.r-project.org/
Licenses: LGPL 3
Build system: r
Synopsis: Documentation for 'distr' Family of R Packages
Description:

This package provides documentation in form of a common vignette to packages distr', distrEx', distrMod', distrSim', distrTEst', distrTeach', and distrEllipse'.

r-dclusterm 1.0-2
Propagated dependencies: r-xts@0.14.1 r-spacetime@1.3-3 r-sp@2.2-0 r-lme4@1.1-37 r-dcluster@0.2-10
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DClusterm
Licenses: GPL 3
Build system: r
Synopsis: Model-Based Detection of Disease Clusters
Description:

Model-based methods for the detection of disease clusters using GLMs, GLMMs and zero-inflated models. These methods are described in V. Gómez-Rubio et al. (2019) <doi:10.18637/jss.v090.i14> and V. Gómez-Rubio et al. (2018) <doi:10.1007/978-3-030-01584-8_1>.

r-deduped 0.3.0
Propagated dependencies: r-fastmatch@1.1-6 r-collapse@2.1.5
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/orgadish/deduped
Licenses: Expat
Build system: r
Synopsis: Making "Deduplicated" Functions
Description:

This package contains one main function deduped() which speeds up slow, vectorized functions by only performing computations on the unique values of the input and expanding the results at the end.

r-dbwebforms 0.1.0
Propagated dependencies: r-stringi@1.8.7 r-html5@1.0.2 r-dbi@1.2.3 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=dbWebForms
Licenses: GPL 2+
Build system: r
Synopsis: Produce R Functions to Create HTML Forms Based on SQL Meta Data
Description:

Offers meta programming style tools to generate configurable R functions that produce HTML forms based on table input and SQL meta data. Also generates functions for collecting the parameters of those HTML forms after they are submitted. Useful for quickly generating HTML forms based on existing SQL tables. To use the resultant functions, the output files containing those functions must be read into the R environment (perhaps using base::source()).

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Total results: 69112