_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/

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-player 0.1.0
Propagated dependencies: r-withr@3.0.2 r-twenty48@0.2.1 r-stringr@1.6.0 r-rlang@1.1.6 r-r6@2.6.1 r-purrr@1.2.0 r-plu@0.3.0 r-nnet@7.3-20 r-glue@1.8.0 r-dplyr@1.1.4 r-crayon@1.5.3 r-cli@3.6.5 r-and@0.1.7
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/rossellhayes/player
Licenses: Expat
Build system: r
Synopsis: Play Games in the Console
Description:

Games that can be played in the R console. Includes coin flip, hangman, jumble, magic 8 ball, poker, rock paper scissors, shut the box, spelling bee, and 2048.

r-ph2mult 0.1.1
Propagated dependencies: r-clinfun@1.1.5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=ph2mult
Licenses: GPL 2+
Build system: r
Synopsis: Phase II Clinical Trial Design for Multinomial Endpoints
Description:

Provide multinomial design methods under intersection-union test (IUT) and union-intersection test (UIT) scheme for Phase II trial. The design types include : Minimax (minimize the maximum sample size), Optimal (minimize the expected sample size), Admissible (minimize the Bayesian risk) and Maxpower (maximize the exact power level).

r-pasteascomment 0.2.1
Propagated dependencies: r-rstudioapi@0.17.1 r-clipr@0.8.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/stla/pasteAsComment
Licenses: GPL 3
Build system: r
Synopsis: 'RStudio' Addin to Paste the Clipboard as a Comment Block or a 'roxygen' Block
Description:

This package provides a RStudio addin allowing to paste the content of the clipboard as a comment block or as roxygen lines. This is very useful to insert an example in the roxygen block.

r-parttree 0.1.2
Propagated dependencies: r-tinyplot@0.6.0 r-rpart@4.1.24 r-rlang@1.1.6 r-partykit@1.2-24 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://grantmcdermott.com/parttree/
Licenses: Expat
Build system: r
Synopsis: Visualize Simple 2-D Decision Tree Partitions
Description:

Visualize the partitions of simple decision trees, involving one or two predictors, on the scale of the original data. Provides an intuitive alternative to traditional tree diagrams, by visualizing how a decision tree divides the predictor space in a simple 2D plot alongside the original data. The parttree package supports both classification and regression trees from rpart and partykit', as well as trees produced by popular frontend systems like tidymodels and mlr3'. Visualization methods are provided for both base R graphics and ggplot2'.

r-pptcirc 0.2.3
Propagated dependencies: r-progress@1.2.3 r-circular@0.5-2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/Karlampm/PPTcirc
Licenses: GPL 3
Build system: r
Synopsis: Projected Polya Tree for Circular Data
Description:

This package provides functionality for the prior and posterior projected Polya tree for the analysis of circular data (Nieto-Barajas and Nunez-Antonio (2019) <arXiv:1902.06020>).

r-predictme 0.1
Propagated dependencies: r-reshape2@1.4.5 r-rdpack@2.6.4 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/mmiche/predictMe
Licenses: Expat
Build system: r
Synopsis: Visualize Individual Prediction Performance
Description:

Enables researchers to visualize the prediction performance of any algorithm on the individual level (or close to it), given that the predicted outcome is either binary or continuous. Visual results are instantly comprehensible.

r-pwt10 10.01-0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pwt10
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Penn World Table (Version 10.x)
Description:

The Penn World Table 10.x (<https://www.rug.nl/ggdc/productivity/pwt/>) provides information on relative levels of income, output, input, and productivity for 183 countries between 1950 and 2019.

r-poistweedie 1.0.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://CRAN.R-project.org/package=poistweedie
Licenses: GPL 2+
Build system: r
Synopsis: Poisson-Tweedie Exponential Family Models
Description:

Simulation of models Poisson-Tweedie.

r-poisnor 1.3.3
Propagated dependencies: r-mvtnorm@1.3-3 r-matrix@1.7-4 r-corpcor@1.6.10
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PoisNor
Licenses: GPL 2
Build system: r
Synopsis: Simultaneous Generation of Multivariate Data with Poisson and Normal Marginals
Description:

Generates multivariate data with count and continuous variables with a pre-specified correlation matrix. The count and continuous variables are assumed to have Poisson and normal marginals, respectively. The data generation mechanism is a combination of the normal to anything principle and a connection between Poisson and normal correlations in the mixture. The details of the method are explained in Yahav et al. (2012) <DOI:10.1002/asmb.901>.

r-pdftables 0.1
Propagated dependencies: r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://www.github.com/expersso/pdftables
Licenses: CC0
Build system: r
Synopsis: Programmatic Conversion of PDF Tables
Description:

Allows the user to convert PDF tables to formats more amenable to analysis ('.csv', .xml', or .xlsx') by wrapping the PDFTables API. In order to use the package, the user needs to sign up for an API account on the PDFTables website (<https://pdftables.com/pdf-to-excel-api>). The package works by taking a PDF file as input, uploading it to PDFTables, and returning a file with the extracted data.

r-pkggraph 0.3.0
Propagated dependencies: r-tidyr@1.3.1 r-tidygraph@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-igraph@2.2.1 r-ggraph@2.2.2 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-cli@3.6.5 r-checkmate@2.3.3 r-biocmanager@1.30.27
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/talegari/pkggraph
Licenses: GPL 3
Build system: r
Synopsis: Explore the R Package Dependencies on the Comprehensive R Archive Network (CRAN) Like Repositories
Description:

Explore various dependencies of a packages (on the Comprehensive R Archive Network Like repositories). The functions get_neighborhood() and get_dependencies() provide dependencies of packages and as_graph() can be used to convert into a igraph object for further analysis and plotting.

r-penalizedcdf 0.1.0
Propagated dependencies: r-plot-matrix@1.6.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=penalizedcdf
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Estimate a Penalized Linear Model using the CDF Penalty Function
Description:

Utilize the CDF penalty function to estimate a penalized linear model. It enables you to display some graphical representations and determine whether the Karush-Kuhn-Tucker conditions are met. For more details about the theory, please refer to Cuntrera, D., Augugliaro, L., & Muggeo, V. M. (2022) <arXiv:2212.08582>.

r-probbreed 1.0.4.9
Propagated dependencies: r-stanheaders@2.32.10 r-rstantools@2.5.0 r-rstan@2.32.7 r-rlang@1.1.6 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-lifecycle@1.0.4 r-ggplot2@4.0.1 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/saulo-chaves/ProbBreed
Licenses: AGPL 3+
Build system: r
Synopsis: Probability Theory for Selecting Candidates in Plant Breeding
Description:

Use probability theory under the Bayesian framework for calculating the risk of selecting candidates in a multi-environment context. Contained are functions used to fit a Bayesian multi-environment model (based on the available presets), extract posterior values and maximum posterior values, compute the variance components, check the modelâ s convergence, and calculate the probabilities. For both across and within-environments scopes, the package computes the probability of superior performance and the pairwise probability of superior performance. Furthermore, the probability of superior stability and the pairwise probability of superior stability across environments is estimated. A joint probability of superior performance and stability is also provided.

r-pre 1.0.8
Propagated dependencies: r-survival@3.8-3 r-stringr@1.6.0 r-rpart@4.1.24 r-partykit@1.2-24 r-matrixmodels@0.5-4 r-matrix@1.7-4 r-glmnet@4.1-10 r-formula@1.2-5 r-earth@5.3.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/marjoleinF/pre
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Prediction Rule Ensembles
Description:

Derives prediction rule ensembles (PREs). Largely follows the procedure for deriving PREs as described in Friedman & Popescu (2008; <DOI:10.1214/07-AOAS148>), with adjustments and improvements described in Fokkema (2020; <DOI:10.18637/jss.v092.i12>) and Fokkema & Strobl (2020; <DOI:10.1037/met0000256>). The main function pre() derives prediction rule ensembles consisting of rules and/or linear terms for continuous, binary, count, multinomial, survival and multivariate continuous responses. Function gpe() derives generalized prediction ensembles, consisting of rules, hinge and linear functions of the predictor variables.

r-proftools 0.99-3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=proftools
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Profile Output Processing Tools for R
Description:

This package provides tools for examining Rprof profile output.

r-phenospectra 0.1.0
Propagated dependencies: r-writexl@1.5.4 r-tidyr@1.3.1 r-rlang@1.1.6 r-readxl@1.4.5 r-openxlsx@4.2.8.1 r-magrittr@2.0.4 r-lubridate@1.9.4 r-dplyr@1.1.4 r-data-table@1.17.8 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PhenoSpectra
Licenses: Expat
Build system: r
Synopsis: Multispectral Data Analysis and Visualization
Description:

This package provides tools for processing, analyzing, and visualizing spectral data collected from 3D laser-based scanning systems. Supports applications in agriculture, forestry, environmental monitoring, industrial quality control, and biomedical research. Enables evaluation of plant growth, productivity, resource efficiency, disease management, and pest monitoring. Includes statistical methods for extracting insights from multispectral and hyperspectral data and generating publication-ready visualizations. See Zieschank & Junker (2023) <doi:10.3389/fpls.2023.1141554> and Saric et al. (2022) <doi:10.1016/J.TPLANTS.2021.12.003> for related work.

r-pecora 0.1.2
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrixstats@1.5.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pecora
Licenses: GPL 2+
Build system: r
Synopsis: Permutation Conditional Random Tests
Description:

It provides functions to perform permutation conditional random one-sample and two-samples t-tests in a multivariate framework.

r-peacock-test 1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=Peacock.test
Licenses: GPL 2
Build system: r
Synopsis: Two and Three Dimensional Kolmogorov-Smirnov Two-Sample Tests
Description:

The original definition of the two and three dimensional Kolmogorov-Smirnov two-sample test statistics given by Peacock (1983) is implemented. Two R-functions: peacock2 and peacock3, are provided to compute the test statistics in two and three dimensional spaces, respectively. Note the Peacock test is different from the Fasano and Franceschini test (1987). The latter is a variant of the Peacock test.

r-prettyb 0.2.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/jumpingrivers/prettyB/
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Pretty Base Graphics
Description:

Drop-in replacements for standard base graphics functions. The replacements are prettier versions of the originals.

r-playerchart 1.0.0
Propagated dependencies: r-tidyr@1.3.1 r-magrittr@2.0.4 r-ggtext@0.1.2 r-ggplot2@4.0.1 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PlayerChart
Licenses: Expat
Build system: r
Synopsis: Generate Pizza Chart: Player Stats 0-100
Description:

Create an interactive pizza chart visualizing a specific player's statistics across various attributes in a sports dataset. The chart is constructed based on input parameters: data', a dataframe containing player data for any sports; player_stats_col', a vector specifying the names of the columns from the dataframe that will be used to create slices in the pizza chart, with statistics ranging between 0 and 100; name_col', specifying the name of the column in the dataframe that contains the player names; and player_name', representing the specific player whose statistics will be visualized in the chart, serving as the chart title.

r-pameasures 0.1.0
Propagated dependencies: r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PAmeasures
Licenses: GPL 3
Build system: r
Synopsis: Prediction and Accuracy Measures for Nonlinear Models and for Right-Censored Time-to-Event Data
Description:

We propose a pair of summary measures for the predictive power of a prediction function based on a regression model. The regression model can be linear or nonlinear, parametric, semi-parametric, or nonparametric, and correctly specified or mis-specified. The first measure, R-squared, is an extension of the classical R-squared statistic for a linear model, quantifying the prediction function's ability to capture the variability of the response. The second measure, L-squared, quantifies the prediction function's bias for predicting the mean regression function. When used together, they give a complete summary of the predictive power of a prediction function. Please refer to Gang Li and Xiaoyan Wang (2016) <arXiv:1611.03063> for more details.

r-pkgverse 0.0.1
Propagated dependencies: r-usethis@3.2.1 r-devtools@2.4.6
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://pkgverse.mikewk.com
Licenses: CC0
Build system: r
Synopsis: Build a Meta-Package Universe
Description:

Build your own universe of packages similar to the tidyverse package <https://tidyverse.org/> with this meta-package creator. Create a package-verse, or meta package, by supplying a custom name for the collection of packages and the vector of desired package names to includeâ and optionally supply a destination directory, an indicator of whether to keep the created package directory, and/or a vector of verbs implement via the usethis <http://usethis.r-lib.org/> package.

r-ppmhr 1.0
Propagated dependencies: r-nleqslv@3.3.5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=ppmHR
Licenses: GPL 2+
Build system: r
Synopsis: Privacy-Protecting Hazard Ratio Estimation in Distributed Data Networks
Description:

An implementation of the one-step privacy-protecting method for estimating the overall and site-specific hazard ratios using inverse probability weighted Cox models in distributed data network studies, as proposed by Shu, Yoshida, Fireman, and Toh (2019) <doi: 10.1177/0962280219869742>. This method only requires sharing of summary-level riskset tables instead of individual-level data. Both the conventional inverse probability weights and the stabilized weights are implemented.

r-plmixed 0.1.8
Propagated dependencies: r-optimx@2025-4.9 r-numderiv@2016.8-1.1 r-matrix@1.7-4 r-lme4@1.1-37
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PLmixed
Licenses: GPL 2+
Build system: r
Synopsis: Estimate (Generalized) Linear Mixed Models with Factor Structures
Description:

Utilizes the lme4 and optimx packages (previously the optim() function from stats') to estimate (generalized) linear mixed models (GLMM) with factor structures using a profile likelihood approach, as outlined in Jeon and Rabe-Hesketh (2012) <doi:10.3102/1076998611417628> and Rockwood and Jeon (2019) <doi:10.1080/00273171.2018.1516541>. Factor analysis and item response models can be extended to allow for an arbitrary number of nested and crossed random effects, making it useful for multilevel and cross-classified models.

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Total results: 21457