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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.

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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-pedtricks 0.4.2
Propagated dependencies: r-tidyr@1.3.1 r-nadiv@2.18.0 r-mvtnorm@1.3-3 r-mcmcglmm@2.36 r-matrix@1.7-4 r-kinship2@1.9.6.2 r-igraph@2.2.1 r-ggplot2@4.0.1 r-genetics@1.3.8.1.3 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://juliengamartin.github.io/pedtricks/
Licenses: Expat
Build system: r
Synopsis: Visualize, Summarize and Simulate Data from Pedigrees
Description:

Sensitivity and power analysis, for calculating statistics describing pedigrees from wild populations, and for visualizing pedigrees.

r-possa 0.6.5
Propagated dependencies: r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/gasparl/possa
Licenses: FreeBSD
Build system: r
Synopsis: Power Simulation for Sequential Analyses and Multiple Hypotheses
Description:

Calculates, via simulation, power and appropriate stopping alpha boundaries (and/or futility bounds) for sequential analyses (i.e., group sequential design) as well as for multiple hypotheses (multiple tests included in an analysis), given any specified global error rate. This enables the sequential use of practically any significance test, as long as the underlying data can be simulated in advance to a reasonable approximation. Lukács (2022) <doi:10.21105/joss.04643>.

r-photon 0.7.4-1
Propagated dependencies: r-sf@1.0-23 r-r6@2.6.1 r-processx@3.8.6 r-httr2@1.2.1 r-countrycode@1.6.1 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/jslth/photon/
Licenses: FSDG-compatible
Build system: r
Synopsis: High-Performance Geocoding using 'photon'
Description:

Features unstructured, structured and reverse geocoding using the photon geocoding API <https://photon.komoot.io/>. Facilitates the setup of local photon instances to enable offline geocoding.

r-pixiedust 0.9.4
Propagated dependencies: r-scales@1.4.0 r-reshape2@1.4.5 r-magrittr@2.0.4 r-labelvector@0.1.2 r-knitr@1.50 r-htmltools@0.5.8.1 r-checkmate@2.3.3 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/nutterb/pixiedust
Licenses: GPL 2+
Build system: r
Synopsis: Tables so Beautifully Fine-Tuned You Will Believe It's Magic
Description:

The introduction of the broom package has made converting model objects into data frames as simple as a single function. While the broom package focuses on providing tidy data frames that can be used in advanced analysis, it deliberately stops short of providing functionality for reporting models in publication-ready tables. pixiedust provides this functionality with a programming interface intended to be similar to ggplot2's system of layers with fine tuned control over each cell of the table. Options for output include printing to the console and to the common markdown formats (markdown, HTML, and LaTeX). With a little pixiedust (and happy thoughts) tables can really fly.

r-phasetyper 1.0.4
Propagated dependencies: r-igraph@2.2.1 r-expm@1.0-0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://rivasiker.github.io/PhaseTypeR/
Licenses: GPL 3
Build system: r
Synopsis: General-Purpose Phase-Type Functions
Description:

General implementation of core function from phase-type theory. PhaseTypeR can be used to model continuous and discrete phase-type distributions, both univariate and multivariate. The package includes functions for outputting the mean and (co)variance of phase-type distributions; their density, probability and quantile functions; functions for random draws; functions for reward-transformation; and functions for plotting the distributions as networks. For more information on these functions please refer to Bladt and Nielsen (2017, ISBN: 978-1-4939-8377-3) and Campillo Navarro (2019) <https://orbit.dtu.dk/en/publications/order-statistics-and-multivariate-discrete-phase-type-distributio>.

r-pinyin 1.1.6
Propagated dependencies: r-splitstackshape@1.4.8 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/pzhaonet/pinyin
Licenses: Expat
Build system: r
Synopsis: Convert Chinese Characters into Pinyin, Sijiao, Wubi or Other Codes
Description:

Convert Chinese characters into Pinyin (the official romanization system for Standard Chinese in mainland China, Malaysia, Singapore, and Taiwan. See <https://en.wikipedia.org/wiki/Pinyin> for details), Sijiao (four or five numerical digits per character. See <https://en.wikipedia.org/wiki/Four-Corner_Method>.), Wubi (an input method with five strokes. See <https://en.wikipedia.org/wiki/Wubi_method>) or user-defined codes.

r-psweight 2.1.2
Propagated dependencies: r-survey@4.4-8 r-superlearner@2.0-29 r-numderiv@2016.8-1.1 r-nnet@7.3-20 r-mass@7.3-65 r-lme4@1.1-37 r-ggplot2@4.0.1 r-gbm@2.2.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/thuizhou/PSweight
Licenses: GPL 2+
Build system: r
Synopsis: Propensity Score Weighting for Causal Inference with Observational Studies and Randomized Trials
Description:

Supports propensity score weighting analysis of observational studies and randomized trials. Enables the estimation and inference of average causal effects with binary and multiple treatments using overlap weights (ATO), inverse probability of treatment weights (ATE), average treatment effect among the treated weights (ATT), matching weights (ATM) and entropy weights (ATEN), with and without propensity score trimming. These weights are members of the family of balancing weights introduced in Li, Morgan and Zaslavsky (2018) <doi:10.1080/01621459.2016.1260466> and Li and Li (2019) <doi:10.1214/19-AOAS1282>.

r-patternize 0.0.5
Propagated dependencies: r-vegan@2.7-2 r-sp@2.2-0 r-sf@1.0-23 r-rniftyreg@2.8.4 r-raster@3.6-32 r-purrr@1.2.0 r-morpho@2.13 r-magrittr@2.0.4 r-imager@1.0.5 r-geomorph@4.0.10 r-dplyr@1.1.4 r-clusterr@1.3.5 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/StevenVB12/patternize
Licenses: GPL 3
Build system: r
Synopsis: Quantification of Color Pattern Variation
Description:

Quantification of variation in organismal color patterns as obtained from image data. Patternize defines homology between pattern positions across images either through fixed landmarks or image registration. Pattern identification is performed by categorizing the distribution of colors using RGB thresholds or image segmentation.

r-proxreg 1.1.2
Propagated dependencies: r-glmnet@4.1-10 r-ebimage@4.52.0 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=ProxReg
Licenses: Expat
Build system: r
Synopsis: Linear Models for Prediction and Classification using Proximal Operators
Description:

This package implements optimization techniques for Lasso regression, R.Tibshirani(1996)<doi:10.1111/j.2517-6161.1996.tb02080.x> using Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) and Iterative Shrinkage-Thresholding Algorithm (ISTA) based on proximal operators, A.Beck(2009)<doi:10.1137/080716542>. The package is useful for high-dimensional regression problems and includes cross-validation procedures to select optimal penalty parameters.

r-protein8k 0.0.2
Propagated dependencies: r-shiny@1.11.1 r-rlang@1.1.6 r-rjson@0.2.23 r-magick@2.9.0 r-lattice@0.22-7 r-gridextra@2.3 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=protein8k
Licenses: CC0
Build system: r
Synopsis: Perform Analysis and Create Visualizations of Proteins
Description:

Read Protein Data Bank (PDB) files, performs its analysis, and presents the result using different visualization types including 3D. The package also has additional capability for handling Virus Report data from the National Center for Biotechnology Information (NCBI) database. Nature Structural Biology 10, 980 (2003) <doi:10.1038/nsb1203-980>. US National Library of Medicine (2021) <https://www.ncbi.nlm.nih.gov/datasets/docs/reference-docs/data-reports/virus/>.

r-perryexamples 0.1.1
Propagated dependencies: r-robustbase@0.99-6 r-quantreg@6.1 r-perry@0.3.1 r-lars@1.3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=perryExamples
Licenses: GPL 2+
Build system: r
Synopsis: Examples for Integrating Prediction Error Estimation into Regression Models
Description:

Examples for integrating package perry for prediction error estimation into regression models.

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-phecodemap 0.1.0
Propagated dependencies: r-shinydashboardplus@2.0.6 r-shinydashboard@0.7.3 r-shinycssloaders@1.1.0 r-shinybs@0.61.1 r-shiny@1.11.1 r-rintrojs@0.3.4 r-readr@2.1.6 r-purrr@1.2.0 r-plotly@4.11.0 r-golem@0.5.1 r-dt@0.34.0 r-dplyr@1.1.4 r-config@0.3.2 r-collapsibletree@0.1.8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/celehs/phecodemap
Licenses: GPL 3+
Build system: r
Synopsis: Visualization for PheCode Mapping with ICD-9 and ICD-10-CM Codes
Description:

To build a shiny app for visualization of the hierarchy of PheCode Mapping with International Classification of Diseases (ICD). The same PheCode hierarchy is displayed in two ways: as a sunburst plot and as a tree.

r-plotmelm 0.1.5
Propagated dependencies: r-interactiontest@1.2 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=plotMElm
Licenses: GPL 3+
Build system: r
Synopsis: Plot Marginal Effects from Linear Models
Description:

Plot marginal effects for interactions estimated from linear models.

r-psychrolib 2.5.2
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/psychrometrics/psychrolib
Licenses: Expat
Build system: r
Synopsis: Psychrometric Properties of Moist and Dry Air
Description:

Implementation of PsychroLib <https://github.com/psychrometrics/psychrolib> library which contains functions to enable the calculation properties of moist and dry air in both metric (SI) and imperial (IP) systems of units. References: Meyer, D. and Thevenard, D (2019) <doi:10.21105/joss.01137>.

r-pandocfilters 0.1-6
Dependencies: pandoc@2.19.2
Propagated dependencies: r-jsonlite@2.0.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://pandoc.org/
Licenses: GPL 3
Build system: r
Synopsis: Pandoc Filters for R
Description:

The document converter pandoc <https://pandoc.org/> is widely used in the R community. One feature of pandoc is that it can produce and consume JSON-formatted abstract syntax trees (AST). This allows to transform a given source document into JSON-formatted AST, alter it by so called filters and pass the altered JSON-formatted AST back to pandoc'. This package provides functions which allow to write such filters in native R code. Although this package is inspired by the Python package pandocfilters <https://github.com/jgm/pandocfilters/>, it provides additional convenience functions which make it simple to use the pandocfilters package as a report generator. Since pandocfilters inherits most of it's functionality from pandoc it can create documents in many formats (for more information see <https://pandoc.org/>) but is also bound to the same limitations as pandoc'.

r-paleobuddy 1.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/brpetrucci/paleobuddy
Licenses: GPL 3
Build system: r
Synopsis: Simulating Diversification Dynamics
Description:

Simulation of species diversification, fossil records, and phylogenies. While the literature on species birth-death simulators is extensive, including important software like paleotree and APE', we concluded there were interesting gaps to be filled regarding possible diversification scenarios. Here we strove for flexibility over focus, implementing a large array of regimens for users to experiment with and combine. In this way, paleobuddy can be used in complement to other simulators as a flexible jack of all trades, or, in the case of scenarios implemented only here, can allow for robust and easy simulations for novel situations. Environmental data modified from that in RPANDA': Morlon H. et al (2016) <doi:10.1111/2041-210X.12526>.

r-patientprofiles 1.4.5
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-omopgenerics@1.3.6 r-lifecycle@1.0.4 r-dplyr@1.1.4 r-clock@0.7.3 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://darwin-eu.github.io/PatientProfiles/
Licenses: FSDG-compatible
Build system: r
Synopsis: Identify Characteristics of Patients in the OMOP Common Data Model
Description:

Identify the characteristics of patients in data mapped to the Observational Medical Outcomes Partnership (OMOP) common data model.

r-pairwiseci 0.1-27
Propagated dependencies: r-mcprofile@1.0-1 r-mcpan@1.1-21 r-mass@7.3-65 r-coin@1.4-3 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pairwiseCI
Licenses: GPL 2
Build system: r
Synopsis: Confidence Intervals for Two Sample Comparisons
Description:

Calculation of the parametric, nonparametric confidence intervals for the difference or ratio of location parameters, nonparametric confidence interval for the Behrens-Fisher problem and for the difference, ratio and odds-ratio of binomial proportions for comparison of independent samples. Common wrapper functions to split data sets and apply confidence intervals or tests to these subsets. A by-statement allows calculation of CI separately for the levels of further factors. CI are not adjusted for multiplicity.

r-partitionbefsp 1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=partitionBEFsp
Licenses: GPL 3
Build system: r
Synopsis: Methods for Calculating the Loreau & Hector 2001 BEF Partition
Description:

This package provides a collection of functions that can be used to estimate selection and complementarity effects, sensu Loreau & Hector (2001) <doi:10.1038/35083573>, even in cases where data are only available for a random subset of species (i.e. incomplete sample-level data). A full derivation and explanation of the statistical corrections used here is available in Clark et al. (2019) <doi:10.1111/2041-210X.13285>.

r-publish 2025.07.24
Propagated dependencies: r-survival@3.8-3 r-prodlim@2025.04.28 r-multcomp@1.4-29 r-lava@1.8.2 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=Publish
Licenses: GPL 2+
Build system: r
Synopsis: Format Output of Various Routines in a Suitable Way for Reports and Publication
Description:

This package provides a bunch of convenience functions that transform the results of some basic statistical analyses into table format nearly ready for publication. This includes descriptive tables, tables of logistic regression and Cox regression results as well as forest plots.

r-planetnicfi 1.0.5
Propagated dependencies: r-terra@1.8-86 r-sf@1.0-23 r-httr@1.4.7 r-glue@1.8.0 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/mlampros/PlanetNICFI
Licenses: GPL 3
Build system: r
Synopsis: Processing of the 'Planet NICFI' Satellite Imagery
Description:

It includes functions to download and process the Planet NICFI (Norway's International Climate and Forest Initiative) Satellite Imagery utilizing the Planet Mosaics API <https://developers.planet.com/docs/basemaps/reference/#tag/Basemaps-and-Mosaics>. GDAL (library for raster and vector geospatial data formats) and aria2c (paralleled download utility) must be installed and configured in the user's Operating System.

r-path-chain 1.0.0
Propagated dependencies: r-stringi@1.8.7 r-rlang@1.1.6
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/krzjoa/path.chain
Licenses: Expat
Build system: r
Synopsis: Concise Structure for Chainable Paths
Description:

This package provides path_chain class and functions, which facilitates loading and saving directory structure in YAML configuration files via config package. The file structure you created during exploration can be transformed into legible section in the config file, and then easily loaded for further usage.

r-pmsesampling 0.1.1
Propagated dependencies: r-rootsolve@1.8.2.4 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/Chenaters/pmsesampling
Licenses: Expat
Build system: r
Synopsis: Sample Size Determination for Accurate Predictive Linear Regression
Description:

This package provides analytic and simulation tools to estimate the minimum sample size required for achieving a target prediction mean-squared error (PMSE) or a specified proportional PMSE reduction (pPMSEr) in linear regression models. Functions implement the criteria of Ma (2023) <https://digital.wpi.edu/downloads/0g354j58c>, support covariance-matrix handling, and include helpers for root-finding and diagnostic plotting.

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Total results: 68658