_            _    _        _         _
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      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
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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-discreteinverseweibull 1.0.2
Propagated dependencies: r-rsolnp@2.0.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DiscreteInverseWeibull
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Discrete Inverse Weibull Distribution
Description:

Probability mass function, distribution function, quantile function, random generation and parameter estimation for the discrete inverse Weibull distribution.

r-dpqmpfr 0.3-3
Propagated dependencies: r-sfsmisc@1.1-23 r-rmpfr@1.1-2 r-gmp@0.7-5 r-dpq@0.6-1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://specfun.r-forge.r-project.org/
Licenses: GPL 2+
Build system: r
Synopsis: DPQ (Density, Probability, Quantile) Distribution Computations using MPFR
Description:

An extension to the DPQ package with computations for DPQ (Density (pdf), Probability (cdf) and Quantile) functions, where the functions here partly use the Rmpfr package and hence the underlying MPFR and GMP C libraries.

r-disposables 1.0.3
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/gaborcsardi/disposables
Licenses: Expat
Build system: r
Synopsis: Create Disposable R Packages for Testing
Description:

Create disposable R packages for testing. You can create, install and load multiple R packages with a single function call, and then unload, uninstall and destroy them with another function call. This is handy when testing how some R code or an R package behaves with respect to other packages.

r-dpcr 0.6
Propagated dependencies: r-spatstat-geom@3.6-1 r-spatstat-explore@3.6-0 r-signal@1.8-1 r-shiny@1.11.1 r-readxl@1.4.5 r-rateratio-test@1.1 r-qpcr@1.4-2 r-pracma@2.4.6 r-multcomp@1.4-29 r-evd@2.3-7.1 r-e1071@1.7-16 r-dgof@1.5.1 r-chippcr@1.0-2 r-binom@1.1-1.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/michbur/dpcR
Licenses: GPL 3
Build system: r
Synopsis: Digital PCR Analysis
Description:

Analysis, visualisation and simulation of digital polymerase chain reaction (dPCR) (Burdukiewicz et al. (2016) <doi:10.1016/j.bdq.2016.06.004>). Supports data formats of commercial systems (Bio-Rad QX100 and QX200; Fluidigm BioMark) and other systems.

r-decompositionle 1.0.0
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 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/herts-phei/decompositionLE
Licenses: GPL 3+
Build system: r
Synopsis: Provides Easy Methods to Perform Life Expectancy Decomposition
Description:

This package provides an easy to use implementation of life expectancy decomposition formulas for age bands, derived from Ponnapalli, K. (2005). A comparison of different methods for decomposition of changes in expectation of life at birth and differentials in life expectancy at birth. Demographic Research, 12, pp.141â 172. <doi:10.4054/demres.2005.12.7> In addition, there is a decomposition function for disease cause breakdown and a couple helpful plot functions.

r-duckspatial 0.9.0
Propagated dependencies: r-wk@0.9.4 r-uuid@1.2-1 r-sf@1.0-23 r-rlang@1.1.6 r-lifecycle@1.0.4 r-glue@1.8.0 r-geoarrow@0.4.2 r-duckdb@1.4.2 r-dbi@1.2.3 r-cli@3.6.5 r-arrow@22.0.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cidree.github.io/duckspatial/
Licenses: GPL 3+
Build system: r
Synopsis: R Interface to 'DuckDB' Database with Spatial Extension
Description:

Fast & memory-efficient functions to analyze and manipulate large spatial data data sets. It leverages the fast analytical capabilities of DuckDB and its spatial extension (see <https://duckdb.org/docs/stable/core_extensions/spatial/overview>) while maintaining compatibility with Râ s spatial data ecosystem to work with spatial vector data.

r-dhsr 0.1.0
Propagated dependencies: r-viridis@0.6.5 r-tidyr@1.3.1 r-spdep@1.4-1 r-sf@1.0-23 r-rlang@1.1.6 r-nlme@3.1-168 r-mumin@1.48.11 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://cran.r-project.org/package=DHSr
Licenses: GPL 3
Build system: r
Synopsis: Create Large Scale Repeated Regression Summary Statistics Dataset and Visualization Seamlessly
Description:

Mapping, spatial analysis, and statistical modeling of microdata from sources such as the Demographic and Health Surveys <https://www.dhsprogram.com/> and Integrated Public Use Microdata Series <https://www.ipums.org/>. It can also be extended to other datasets. The package supports spatial correlation index construction and visualization, along with empirical Bayes approximation of regression coefficients in a multistage setup. The main functionality is repeated regression â for example, if we have to run regression for n groups, the group ID should be vertically composed into the variable for the parameter `location_var`. It can perform various kinds of regression, such as Generalized Regression Models, logit, probit, and more. Additionally, it can incorporate interaction effects. The key benefit of the package is its ability to store the regression results performed repeatedly on a dataset by the group ID, along with respective p-values and map those estimates.

r-dict 0.1.0
Propagated dependencies: r-rlang@1.1.6 r-r6@2.6.1 r-purrr@1.2.0 r-magrittr@2.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/five-dots/Dict
Licenses: Expat
Build system: r
Synopsis: R6 Based Key-Value Dictionary Implementation
Description:

This package provides a key-value dictionary data structure based on R6 class which is designed to be similar usages with other languages dictionary (e.g. Python') with reference semantics and extendabilities by R6.

r-dtms 0.4.2
Propagated dependencies: r-vgam@1.1-13 r-nnet@7.3-20 r-mclogit@0.9.6 r-markovchain@0.10.3 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/christiandudel/dtms
Licenses: Expat
Build system: r
Synopsis: Discrete-Time Multistate Models
Description:

Discrete-time multistate models with a user-friendly workflow. The package provides tools for processing data, several ways of estimating parametric and nonparametric multistate models, and an extensive set of Markov chain methods which use transition probabilities derived from the multistate model. Some of the implemented methods are described in Schneider et al. (2024) <doi:10.1080/00324728.2023.2176535>, Dudel (2021) <doi:10.1177/0049124118782541>, Dudel & Myrskylä (2020) <doi:10.1186/s12963-020-00217-0>, van den Hout (2017) <doi:10.1201/9781315374321>.

r-desirability 2.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/topepo/desirability
Licenses: GPL 2
Build system: r
Synopsis: Function Optimization and Ranking via Desirability Functions
Description:

S3 classes for multivariate optimization using the desirability function by Derringer and Suich (1980).

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-dartr-data 1.0.8
Propagated dependencies: 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://github.com/green-striped-gecko/dartR.data
Licenses: GPL 3+
Build system: r
Synopsis: Auxiliary Data Package for Our Main Package 'dartR'
Description:

Data package for dartR'. Provides data sets to run examples in dartR'. This was necessary due to the size limit imposed by CRAN'. The data in dartR.data is needed to run the examples provided in the dartR functions. All available data sets are either based on actual data (but reduced in size) and/or simulated data sets to allow the fast execution of examples and demonstration of the functions.

r-diffpriv 0.4.2
Propagated dependencies: r-gsl@2.1-9
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/brubinstein/diffpriv
Licenses: Expat
Build system: r
Synopsis: Easy Differential Privacy
Description:

An implementation of major general-purpose mechanisms for privatizing statistics, models, and machine learners, within the framework of differential privacy of Dwork et al. (2006) <doi:10.1007/11681878_14>. Example mechanisms include the Laplace mechanism for releasing numeric aggregates, and the exponential mechanism for releasing set elements. A sensitivity sampler (Rubinstein & Alda, 2017) <arXiv:1706.02562> permits sampling target non-private function sensitivity; combined with the generic mechanisms, it permits turn-key privatization of arbitrary programs.

r-daltoolbox 1.3.717
Propagated dependencies: r-tree@1.0-45 r-reshape@0.8.10 r-randomforest@4.7-1.2 r-nnet@7.3-20 r-mclust@6.1.2 r-ggplot2@4.0.1 r-fnn@1.1.4.1 r-e1071@1.7-16 r-dplyr@1.1.4 r-dbscan@1.2.3 r-cluster@2.1.8.1 r-class@7.3-23 r-caret@7.0-1 r-arulessequences@0.2-32 r-arules@1.7-11
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cefet-rj-dal.github.io/daltoolbox/
Licenses: Expat
Build system: r
Synopsis: Leveraging Experiment Lines to Data Analytics
Description:

The natural increase in the complexity of current research experiments and data demands better tools to enhance productivity in Data Analytics. The package is a framework designed to address the modern challenges in data analytics workflows. The package is inspired by Experiment Line concepts. It aims to provide seamless support for users in developing their data mining workflows by offering a uniform data model and method API. It enables the integration of various data mining activities, including data preprocessing, classification, regression, clustering, and time series prediction. It also offers options for hyper-parameter tuning and supports integration with existing libraries and languages. Overall, the package provides researchers with a comprehensive set of functionalities for data science, promoting ease of use, extensibility, and integration with various tools and libraries. Information on Experiment Line is based on Ogasawara et al. (2009) <doi:10.1007/978-3-642-02279-1_20>.

r-describer 0.2.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/paulhendricks/describer
Licenses: Expat
Build system: r
Synopsis: Describe Data in R Using Common Descriptive Statistics
Description:

Allows users to quickly and easily describe data using common descriptive statistics.

r-denoiseq 0.1.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=denoiSeq
Licenses: GPL 2
Build system: r
Synopsis: Differential Expression Analysis Using a Bottom-Up Model
Description:

Given count data from two conditions, it determines which transcripts are differentially expressed across the two conditions using Bayesian inference of the parameters of a bottom-up model for PCR amplification. This model is developed in Ndifon Wilfred, Hilah Gal, Eric Shifrut, Rina Aharoni, Nissan Yissachar, Nir Waysbort, Shlomit Reich Zeliger, Ruth Arnon, and Nir Friedman (2012), <http://www.pnas.org/content/109/39/15865.full>, and results in a distribution for the counts that is a superposition of the binomial and negative binomial distribution.

r-datarobot 2.18.7
Propagated dependencies: r-yaml@2.3.10 r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=datarobot
Licenses: Expat
Build system: r
Synopsis: 'DataRobot' Predictive Modeling API
Description:

For working with the DataRobot predictive modeling platform's API <https://www.datarobot.com/>.

r-dabestr 2025.3.15
Propagated dependencies: r-viridislite@0.4.2 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-scales@1.4.0 r-rlang@1.1.6 r-rcolorbrewer@1.1-3 r-magrittr@2.0.4 r-ggsci@4.1.0 r-ggplot2@4.0.1 r-ggbeeswarm@0.7.2 r-effsize@0.8.1 r-dplyr@1.1.4 r-cowplot@1.2.0 r-cli@3.6.5 r-brunnermunzel@2.0 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/ACCLAB/dabestr
Licenses: FSDG-compatible
Build system: r
Synopsis: Data Analysis using Bootstrap-Coupled Estimation
Description:

Data Analysis using Bootstrap-Coupled ESTimation. Estimation statistics is a simple framework that avoids the pitfalls of significance testing. It uses familiar statistical concepts: means, mean differences, and error bars. More importantly, it focuses on the effect size of one's experiment/intervention, as opposed to a false dichotomy engendered by P values. An estimation plot has two key features: 1. It presents all datapoints as a swarmplot, which orders each point to display the underlying distribution. 2. It presents the effect size as a bootstrap 95% confidence interval on a separate but aligned axes. Estimation plots are introduced in Ho et al., Nature Methods 2019, 1548-7105. <doi:10.1038/s41592-019-0470-3>. The free-to-view PDF is located at <https://www.nature.com/articles/s41592-019-0470-3.epdf?author_access_token=Euy6APITxsYA3huBKOFBvNRgN0jAjWel9jnR3ZoTv0Pr6zJiJ3AA5aH4989gOJS_dajtNr1Wt17D0fh-t4GFcvqwMYN03qb8C33na_UrCUcGrt-Z0J9aPL6TPSbOxIC-pbHWKUDo2XsUOr3hQmlRew%3D%3D>.

r-dvir 3.3.0
Propagated dependencies: r-verbalisr@0.7.2 r-ribd@1.7.1 r-pedtools@2.10.0 r-pedprobr@1.0.1 r-pedfamilias@0.2.4 r-pbapply@1.7-4 r-forrel@1.8.1
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/magnusdv/dvir
Licenses: GPL 3
Build system: r
Synopsis: Disaster Victim Identification
Description:

Joint DNA-based disaster victim identification (DVI), as described in Vigeland and Egeland (2021) <doi:10.21203/rs.3.rs-296414/v1>. Identification is performed by optimising the joint likelihood of all victim samples and reference individuals. Individual identification probabilities, conditional on all available information, are derived from the joint solution in the form of posterior pairing probabilities. dvir is part of the pedsuite collection of packages for pedigree analysis.

r-dentomedical 0.2.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-purrr@1.2.0 r-fsa@0.10.0 r-flextable@0.9.10 r-dplyr@1.1.4 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/umarhussain-git/dentomedical1
Licenses: Expat
Build system: r
Synopsis: Publication-Ready Descriptive, Bivariate, Regression, Correlation and Diagnostic Accuracy Tools for Medical and Dental Data
Description:

The dentomedical package provides a comprehensive suite of tools for medical and dental research. It includes automated descriptive statistics, bivariate analysis with intelligent test selection, logistic regression, and diagnostic accuracy assessment. All functions generate publication-ready tables using flextable', ensuring reproducibility and clarity suitable for manuscripts, reports, and clinical research workflows.

r-disprity 1.9
Propagated dependencies: r-zoo@1.8-14 r-vegan@2.7-2 r-scales@1.4.0 r-phylolm@2.6.5 r-phyclust@0.1-34 r-phangorn@2.12.1 r-mnormt@2.1.1 r-mass@7.3-65 r-get@1.0-7 r-geometry@0.5.2 r-ellipse@0.5.0 r-claddis@0.7.0 r-castor@1.8.4 r-ape@5.8-1 r-ade4@1.7-23
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/TGuillerme/dispRity
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Measuring Disparity
Description:

This package provides a modular package for measuring disparity (multidimensional space occupancy). Disparity can be calculated from any matrix defining a multidimensional space. The package provides a set of implemented metrics to measure properties of the space and allows users to provide and test their own metrics. The package also provides functions for looking at disparity in a serial way (e.g. disparity through time) or per groups as well as visualising the results. Finally, this package provides several statistical tests for disparity analysis.

r-dataloader 1.3
Propagated dependencies: r-xlsx@0.6.5 r-readxl@1.4.5 r-rchoicedialogs@1.0.6.1 r-plyr@1.8.9
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://cran.r-project.org/package=DataLoader
Licenses: GPL 2+
Build system: r
Synopsis: Import Multiple File Types
Description:

This package provides functions to import multiple files of multiple data file types ('.xlsx', .xls', .csv', .txt') from a given directory into R data frames.

r-dgpsi 2.6.0
Propagated dependencies: r-visnetwork@2.1.4 r-uuid@1.2-1 r-tidyr@1.3.1 r-rlang@1.1.6 r-reticulate@1.44.1 r-reshape2@1.4.5 r-patchwork@1.3.2 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-lhs@1.2.0 r-kableextra@1.4.0 r-ggplot2@4.0.1 r-ggforce@0.5.0 r-dplyr@1.1.4 r-clhs@0.9.2 r-benchmarkme@1.0.8
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/mingdeyu/dgpsi-R
Licenses: Expat
Build system: r
Synopsis: Interface to 'dgpsi' for Deep and Linked Gaussian Process Emulations
Description:

Interface to the python package dgpsi for Gaussian process, deep Gaussian process, and linked deep Gaussian process emulations of computer models and networks using stochastic imputation (SI). The implementations follow Ming & Guillas (2021) <doi:10.1137/20M1323771> and Ming, Williamson, & Guillas (2023) <doi:10.1080/00401706.2022.2124311> and Ming & Williamson (2023) <doi:10.48550/arXiv.2306.01212>. To get started with the package, see <https://mingdeyu.github.io/dgpsi-R/>.

r-dfexpand 0.0.2
Propagated dependencies: r-stringr@1.6.0
Channel: guix-cran
Location: guix-cran/packages/d.scm (guix-cran packages d)
Home page: https://github.com/jlpainter/dfexpand
Licenses: GPL 3+
Build system: r
Synopsis: Automatically Expand Delimited Column Values into Multiple Binary Columns with 'dfexpand'
Description:

This package implements an algorithm to effortlessly split a column in an R data frame filled with multiple values separated by delimiters. This automates the process of creating separate columns for each unique value, transforming them into binary outcomes.

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