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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-phase12compare 1.5
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=Phase12Compare
Licenses: GPL 2
Build system: r
Synopsis: Simulates SPSO and Efftox Phase 12 Trials with Correlated Outcomes
Description:

Simulating and conducting four phase 12 clinical trials with correlated binary bivariate outcomes described. Uses the Efftox (efficacy and toxicity tradeoff, <https://biostatistics.mdanderson.org/SoftwareDownload/SingleSoftware/Index/2>) and SPSO (Semi-Parametric Stochastic Ordering) models with Utility and Desirability based objective functions for dose finding.

r-paramix 0.0.2
Propagated dependencies: r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cmmid.github.io/paramix/
Licenses: Expat
Build system: r
Synopsis: Aggregate and Disaggregate Continuous Parameters for Compartmental Models
Description:

This package provides a convenient framework for aggregating and disaggregating continuously varying parameters (for example, case fatality ratio, with age) for proper parametrization of lower-resolution compartmental models (for example, with broad age categories) and subsequent upscaling of model outputs to high resolution (for example, as needed when calculating age-sensitive measures like years-life-lost).

r-panelcount 2.0.1
Propagated dependencies: r-statmod@1.5.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PanelCount
Licenses: Expat
Build system: r
Synopsis: Random Effects and/or Sample Selection Models for Panel Count Data
Description:

This package provides a high performance package implementing random effects and/or sample selection models for panel count data. The details of the models are discussed in Peng and Van den Bulte (2023) <doi:10.2139/ssrn.2702053>.

r-previsionio 11.7.0
Propagated dependencies: r-xml@3.99-0.20 r-plotly@4.11.0 r-metrics@0.1.4 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-futile-logger@1.4.3 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=previsionio
Licenses: Expat
Build system: r
Synopsis: 'Prevision.io' R SDK
Description:

For working with the Prevision.io AI model management platform's API <https://prevision.io/>.

r-pwlmm 1.1.2
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 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=pwlmm
Licenses: GPL 2+
Build system: r
Synopsis: PWIGLS for Two-Level Multivariate and Multilevel Linear Models
Description:

Estimates two-level multilevel linear model and two-level multivariate linear multilevel model with weights following Probability Weighted Iterative Generalised Least Squares approach. For details see Veiga et al.(2014) <doi:10.1111/rssc.12020>.

r-popgenreport 3.1.3
Propagated dependencies: r-xtable@1.8-4 r-vegan@2.7-2 r-sp@2.2-0 r-rgooglemaps@1.5.3 r-reshape2@1.4.5 r-raster@3.6-32 r-r-utils@2.13.0 r-plyr@1.8.9 r-pegas@1.3 r-mmod@1.3.3 r-lattice@0.22-7 r-knitr@1.50 r-ggplot2@4.0.1 r-ggally@2.4.0 r-genetics@1.3.8.1.3 r-gdistance@1.6.5 r-gap@1.6 r-dismo@1.3-16 r-calibrate@1.7.7 r-adegenet@2.1.11 r-ade4@1.7-23
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/green-striped-gecko/PopGenReport
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Simple Framework to Analyse Population and Landscape Genetic Data
Description:

This package provides beginner friendly framework to analyse population genetic data. Based on adegenet objects it uses knitr to create comprehensive reports on spatial genetic data. For detailed information how to use the package refer to the comprehensive tutorials or visit <http://www.popgenreport.org/>.

r-phenmod 1.2-7
Propagated dependencies: r-rcolorbrewer@1.1-3 r-pheno@1.7-1 r-lattice@0.22-7 r-gstat@2.1-4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=phenmod
Licenses: GPL 2+
Build system: r
Synopsis: Auxiliary Functions for Phenological Data Processing, Modelling and Result Handling
Description:

This package provides functions for phenological data preprocessing, modelling and result handling. For more information, please refer to Lange et al. (2016) <doi:10.1007/s00484-016-1161-8>.

r-phylosignaldb 0.4.2
Propagated dependencies: r-foreach@1.5.2 r-doparallel@1.0.17 r-cluster@2.1.8.1 r-castor@1.8.4 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/anonymous-eco/phylosignalDB
Licenses: GPL 3+
Build system: r
Synopsis: Explore Phylogenetic Signals Using Distance-Based Methods
Description:

This package provides a unified method, called M statistic, is provided for detecting phylogenetic signals in continuous traits, discrete traits, and multi-trait combinations. Blomberg and Garland (2002) <doi:10.1046/j.1420-9101.2002.00472.x> provided a widely accepted statistical definition of the phylogenetic signal, which is the "tendency for related species to resemble each other more than they resemble species drawn at random from the tree". The M statistic strictly adheres to the definition of phylogenetic signal, formulating an index and developing a method of testing in strict accordance with the definition, instead of relying on correlation analysis or evolutionary models. The novel method equivalently expressed the textual definition of the phylogenetic signal as an inequality equation of the phylogenetic and trait distances and constructed the M statistic. The M statistic implemented in this package is based on the methodology described in Yao and Yuan (2025) <doi:10.1002/ece3.71106>. If you use this method in your research, please cite the paper.

r-praznik 12.0.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://gitlab.com/mbq/praznik
Licenses: GPL 3
Build system: r
Synopsis: Tools for Information-Based Feature Selection and Scoring
Description:

This package provides a toolbox of fast, native and parallel implementations of various information-based importance criteria estimators and feature selection filters based on them, inspired by the overview by Brown, Pocock, Zhao and Lujan (2012) <https://www.jmlr.org/papers/v13/brown12a.html>. Contains, among other, minimum redundancy maximal relevancy ('mRMR') method by Peng, Long and Ding (2005) <doi:10.1109/TPAMI.2005.159>; joint mutual information ('JMI') method by Yang and Moody (1999) <https://papers.nips.cc/paper/1779-data-visualization-and-feature-selection-new-algorithms-for-nongaussian-data>; double input symmetrical relevance ('DISR') method by Meyer and Bontempi (2006) <doi:10.1007/11732242_9> as well as joint mutual information maximisation ('JMIM') method by Bennasar, Hicks and Setchi (2015) <doi:10.1016/j.eswa.2015.07.007>.

r-permutes 2.8
Propagated dependencies: r-plyr@1.8.9
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=permutes
Licenses: FSDG-compatible
Build system: r
Synopsis: Permutation Tests for Time Series Data
Description:

Helps you determine the analysis window to use when analyzing densely-sampled time-series data, such as EEG data, using permutation testing (Maris & Oostenveld, 2007) <doi:10.1016/j.jneumeth.2007.03.024>. These permutation tests can help identify the timepoints where significance of an effect begins and ends, and the results can be plotted in various types of heatmap for reporting. Mixed-effects models are supported using an implementation of the approach by Lee & Braun (2012) <doi:10.1111/j.1541-0420.2011.01675.x>.

r-proactive 0.1.0
Propagated dependencies: r-stringr@1.6.0 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://github.com/jlmaier12/ProActive
Licenses: GPL 2
Build system: r
Synopsis: Detect Elevations and Gaps in Mapped Sequencing Read Coverage
Description:

Automate the detection of gaps and elevations in mapped sequencing read coverage using a 2D pattern-matching algorithm. ProActive detects, characterizes and visualizes read coverage patterns in both genomes and metagenomes. Optionally, users may provide gene annotations associated with their genome or metagenome in the form of a .gff file. In this case, ProActive will generate an additional output table containing the gene annotations found within the detected regions of gapped and elevated read coverage. Additionally, users can search for gene annotations of interest in the output read coverage plots.

r-productivity 1.1.0
Propagated dependencies: r-lpsolveapi@5.5.2.0-17.14 r-iterators@1.0.14 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=productivity
Licenses: GPL 3
Build system: r
Synopsis: Indices of Productivity Using Data Envelopment Analysis (DEA)
Description:

Levels and changes of productivity and profitability are measured with various indices. The package contains the multiplicatively complete Färe-Primont, Fisher, Hicks-Moorsteen, Laspeyres, Lowe, and Paasche indices, as well as the classic Malmquist productivity index. Färe-Primont and Lowe indices verify the transitivity property and can therefore be used for multilateral or multitemporal comparison. Fisher, Hicks-Moorsteen, Laspeyres, Malmquist, and Paasche indices are not transitive and are only to be used for binary comparison. All indices can also be decomposed into different components, providing insightful information on the sources of productivity and profitability changes. In the use of Malmquist productivity index, the technological change index can be further decomposed into bias technological change components. The package also allows to prohibit technological regression (negative technological change). In the case of the Fisher, Hicks-Moorsteen, Laspeyres, Paasche and the transitive Färe-Primont and Lowe indices, it is furthermore possible to rule out technological change. Deflated shadow prices can also be obtained. Besides, the package allows parallel computing as an option, depending on the user's computer configuration. All computations are carried out with the nonparametric Data Envelopment Analysis (DEA), and several assumptions regarding returns to scale are available. All DEA linear programs are implemented using lp_solve'.

r-pathviewr 1.1.8
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-r-matlab@3.7.0 r-purrr@1.2.0 r-magrittr@2.0.4 r-lubridate@1.9.4 r-ggplot2@4.0.1 r-fancova@0.6-1 r-dplyr@1.1.4 r-data-table@1.17.8 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/ropensci/pathviewr/
Licenses: GPL 3
Build system: r
Synopsis: Wrangle, Analyze, and Visualize Animal Movement Data
Description:

This package provides tools to import, clean, and visualize movement data, particularly from motion capture systems such as Optitrack's Motive', the Straw Lab's Flydra', or from other sources. We provide functions to remove artifacts, standardize tunnel position and tunnel axes, select a region of interest, isolate specific trajectories, fill gaps in trajectory data, and calculate 3D and per-axis velocity. For experiments of visual guidance, we also provide functions that use subject position to estimate perception of visual stimuli.

r-pheno 1.7-1
Propagated dependencies: r-sparsem@1.84-2 r-quantreg@6.1 r-nlme@3.1-168
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pheno
Licenses: GPL 2+
Build system: r
Synopsis: Auxiliary Functions for Phenological Data Analysis
Description:

This package provides some easy-to-use functions for time series analyses of (plant-) phenological data sets. These functions mainly deal with the estimation of combined phenological time series and are usually wrappers for functions that are already implemented in other R packages adapted to the special structure of phenological data and the needs of phenologists. Some date conversion functions to handle Julian dates are also provided.

r-pstat 1.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=Pstat
Licenses: GPL 2
Build system: r
Synopsis: Assessing Pst Statistics
Description:

Calculating Pst values to assess differentiation among populations from a set of quantitative traits is the primary purpose of such a package. The bootstrap method provides confidence intervals and distribution histograms of Pst. Variations of Pst in function of the parameter c/h^2 are studied as well. Finally, the package proposes different transformations especially to eliminate any variation resulting from allometric growth (calculation of residuals from linear regressions, Reist standardizations or Aitchison transformation).

r-pso 1.0.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pso
Licenses: LGPL 3
Build system: r
Synopsis: Particle Swarm Optimization
Description:

This package provides an implementation of particle swarm optimisation consistent with the standard PSO 2007/2011 by Maurice Clerc. Additionally a number of ancillary routines are provided for easy testing and graphics.

r-procs 1.0.7
Propagated dependencies: r-tibble@3.3.0 r-saslm@0.10.7 r-reporter@1.4.6 r-fmtr@1.7.2 r-common@1.1.5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://procs.r-sassy.org
Licenses: CC0
Build system: r
Synopsis: Recreates Some 'SAS®' Procedures in 'R'
Description:

This package contains functions to simulate the most commonly used SAS® procedures. Specifically, the package aims to simulate the functionality of proc freq', proc means', proc ttest', proc reg', proc transpose', proc sort', and proc print'. The simulation will include recreating all statistics with the highest fidelity possible.

r-powercomprisk 1.0.1
Propagated dependencies: r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=powerCompRisk
Licenses: GPL 2
Build system: r
Synopsis: Power Analysis Tool for Joint Testing Hazards with Competing Risks Data
Description:

This package provides a power analysis tool for jointly testing the cause-1 cause-specific hazard and the any-cause hazard with competing risks data.

r-pkgdiff 1.0.1
Propagated dependencies: r-rvest@1.0.5 r-crayon@1.5.3 r-cranlogs@2.1.1 r-common@1.1.5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://pkgdiff.r-sassy.org
Licenses: CC0
Build system: r
Synopsis: Identifies Package Differences
Description:

Identifies differences between versions of a package. Specifically, the functions help determine if there are breaking changes from one package version to the next. The package also includes a stability assessment, to help you determine the overall stability of a package, or even an entire repository.

r-power4mome 0.1.1
Propagated dependencies: r-yaml@2.3.10 r-psych@2.5.6 r-pgnorm@2.0.1 r-pbapply@1.7-4 r-manymome@0.3.3 r-lmhelprs@0.4.3 r-lavaan@0.6-20
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://sfcheung.github.io/power4mome/
Licenses: GPL 3+
Build system: r
Synopsis: Power Analysis for Moderation and Mediation
Description:

Power analysis and sample size determination for moderation, mediation, and moderated mediation in models fitted by structural equation modelling using the lavaan package by Rosseel (2012) <doi:10.18637/jss.v048.i02> or by multiple regression. The package manymome by Cheung and Cheung (2024) <doi:10.3758/s13428-023-02224-z> is used to specify the indirect paths or conditional indirect paths to be tested.

r-pensynth 0.8.1
Propagated dependencies: r-matrix@1.7-4 r-lifecycle@1.0.4 r-cli@3.6.5 r-clarabel@0.11.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/vankesteren/pensynth
Licenses: Expat
Build system: r
Synopsis: Penalized Synthetic Control Estimation
Description:

Estimate penalized synthetic control models and perform hold-out validation to determine their penalty parameter. This method is based on the work by Abadie & L'Hour (2021) <doi:10.1080/01621459.2021.1971535>. Penalized synthetic controls smoothly interpolate between one-to-one matching and the synthetic control method.

r-pcplus 1.0.1
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-matrix@1.7-4 r-changepoint@2.3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PCpluS
Licenses: GPL 3
Build system: r
Synopsis: Piecewise Constant Plus Smooth Regression
Description:

Allows for nonparametric regression where one assumes that the signal is given by the sum of a piecewise constant function and a smooth function. More precisely, it implements the estimator PCpluS (piecewise constant plus smooth regression estimator) from Pein and Shah (2025) <doi:10.48550/arXiv.2112.03878>.

r-poisson-glm-mix 1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=poisson.glm.mix
Licenses: GPL 2
Build system: r
Synopsis: Fit High Dimensional Mixtures of Poisson GLMs
Description:

Mixtures of Poisson Generalized Linear Models for high dimensional count data clustering. The (multivariate) responses can be partitioned into set of blocks. Three different parameterizations of the linear predictor are considered. The models are estimated according to the EM algorithm with an efficient initialization scheme <doi:10.1016/j.csda.2014.07.005>.

r-pcv 1.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/svkucheryavski/pcv
Licenses: Expat
Build system: r
Synopsis: Procrustes Cross-Validation
Description:

This package implements Procrustes cross-validation method for Principal Component Analysis, Principal Component Regression and Partial Least Squares regression models. S. Kucheryavskiy (2023) <doi:10.1016/j.aca.2023.341096>.

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