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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-petfinder 2.1.0
Propagated dependencies: r-r6@2.6.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/aschleg/PetfindeR
Licenses: Expat
Build system: r
Synopsis: 'Petfinder' API Wrapper
Description:

Wrapper of the Petfinder API <https://www.petfinder.com/developers/v2/docs/> that implements methods for interacting with and extracting data from the Petfinder database. The Petfinder REST API allows access to the Petfinder database, one of the largest online databases of adoptable animals and animal welfare organizations across North America.

r-prepplot 1.0-2
Propagated dependencies: r-shape@1.4.6.1 r-plotrix@3.8-13
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=prepplot
Licenses: GPL 2+
Build system: r
Synopsis: Prepare Figure Region for Base Graphics
Description:

This package provides a figure region is prepared, creating a plot region with suitable background color, grid lines or shadings, and providing axes and labeling if not suppressed. Subsequently, information carrying graphics elements can be added (points, lines, barplot with add=TRUE and so forth).

r-pepsavims 0.9.1
Propagated dependencies: r-elasticnet@1.3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/dpritchLibre/PepSAVIms
Licenses: FSDG-compatible
Build system: r
Synopsis: PepSAVI-MS Data Analysis
Description:

An implementation of the data processing and data analysis portion of a pipeline named the PepSAVI-MS which is currently under development by the Hicks laboratory at the University of North Carolina. The statistical analysis package presented herein provides a collection of software tools used to facilitate the prioritization of putative bioactive peptides from a complex biological matrix. Tools are provided to deconvolute mass spectrometry features into a single representation for each peptide charge state, filter compounds to include only those possibly contributing to the observed bioactivity, and prioritize these remaining compounds for those most likely contributing to each bioactivity data set.

r-preventr 0.11.0
Propagated dependencies: r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://martingmayer.com/preventr
Licenses: Expat
Build system: r
Synopsis: An Implementation of the PREVENT and Pooled Cohort Equations
Description:

This package implements the American Heart Association Predicting Risk of cardiovascular disease EVENTs (PREVENT) equations from Khan SS, Matsushita K, Sang Y, and colleagues (2023) <doi:10.1161/CIRCULATIONAHA.123.067626>, with optional comparison with their de facto predecessor, the Pooled Cohort Equations from the American Heart Association and American College of Cardiology (2013) <doi:10.1161/01.cir.0000437741.48606.98> and the revision to the Pooled Cohort Equations from Yadlowsky and colleagues (2018) <doi:10.7326/M17-3011>.

r-proae 1.0.4
Propagated dependencies: r-magrittr@2.0.4 r-kableextra@1.4.0 r-hmisc@5.2-4 r-gridextra@2.3 r-ggtext@0.1.2 r-ggplot2@4.0.1 r-ggpattern@1.2.1 r-ggnewscale@0.5.2 r-dplyr@1.1.4 r-desctools@0.99.60
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=ProAE
Licenses: GPL 3
Build system: r
Synopsis: PRO-CTCAE Scoring, Analysis, and Graphical Tools
Description:

This package provides a collection of tools to facilitate standardized analysis and graphical procedures when using the National Cancer Instituteâ s Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) and other PRO measurements.

r-poissonbinomial 1.2.8
Dependencies: fftw@3.3.10
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/fj86/PoissonBinomial
Licenses: GPL 3
Build system: r
Synopsis: Efficient Computation of Ordinary and Generalised Poisson Binomial Distributions
Description:

Efficient implementations of multiple exact and approximate methods as described in Hong (2013) <doi:10.1016/j.csda.2012.10.006>, Biscarri, Zhao & Brunner (2018) <doi:10.1016/j.csda.2018.01.007> and Zhang, Hong & Balakrishnan (2018) <doi:10.1080/00949655.2018.1440294> for computing the probability mass, cumulative distribution and quantile functions, as well as generating random numbers for both the ordinary and generalised Poisson binomial distribution.

r-pbir 0.1-0
Propagated dependencies: r-survival@3.8-3 r-cmprsk@2.2-12
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PBIR
Licenses: GPL 2+
Build system: r
Synopsis: Estimating the Probability of Being in Response and Related Outcomes
Description:

Make statistical inference on the probability of being in response, the duration of response, and the cumulative response rate up to a given time point. The method can be applied to analyze phase II randomized clinical trials with the endpoints being time to treatment response and time to progression or death.

r-panelmatch 3.1.3
Propagated dependencies: r-rcppeigen@0.3.4.0.2 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrix@1.7-4 r-mass@7.3-65 r-ggplot2@4.0.1 r-foreach@1.5.2 r-doparallel@1.0.17 r-data-table@1.17.8 r-cbps@0.24
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PanelMatch
Licenses: GPL 3+
Build system: r
Synopsis: Matching Methods for Causal Inference with Time-Series Cross-Sectional Data
Description:

This package implements a set of methodological tools that enable researchers to apply matching methods to time-series cross-sectional data. Imai, Kim, and Wang (2023) <http://web.mit.edu/insong/www/pdf/tscs.pdf> proposes a nonparametric generalization of the difference-in-differences estimator, which does not rely on the linearity assumption as often done in practice. Researchers first select a method of matching each treated observation for a given unit in a particular time period with control observations from other units in the same time period that have a similar treatment and covariate history. These methods include standard matching methods based on propensity score and Mahalanobis distance, as well as weighting methods. Once matching and refinement is done, treatment effects can be estimated with standard errors. The package also offers diagnostics for researchers to assess the quality of their results.

r-pdt 0.0.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pdt
Licenses: GPL 3
Build system: r
Synopsis: Permutation Distancing Test
Description:

Permutation (randomisation) test for single-case phase design data with two phases (e.g., pre- and post-treatment). Correction for dependency of observations is done through stepwise resampling the time series while varying the distance between observations. The required distance 0,1,2,3.. is determined based on repeated dependency testing while stepwise increasing the distance. In preparation: Vroegindeweij et al. "A Permutation distancing test for single-case observational AB phase design data: A Monte Carlo simulation study".

r-prepost 0.3.0
Propagated dependencies: r-rglpk@0.6-5.1 r-progress@1.2.3 r-lpsolve@5.6.23 r-gtools@3.9.5 r-bayeslogit@2.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/mattblackwell/prepost
Licenses: Expat
Build system: r
Synopsis: Non-Parametric Bounds and Gibbs Sampler for Assessing Priming and Post-Treatment Bias
Description:

This package provides a set of tools to implement the non-parametric bounds and Bayesian methods for assessing post-treatment bias developed in Blackwell, Brown, Hill, Imai, and Yamamoto (2025) <doi:10.1017/pan.2025.3>.

r-pcfactorstan 1.5.4
Propagated dependencies: r-stanheaders@2.32.10 r-rstantools@2.5.0 r-rstan@2.32.7 r-reshape2@1.4.5 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-mvtnorm@1.3-3 r-loo@2.8.0 r-lifecycle@1.0.4 r-igraph@2.2.1 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/jpritikin/pcFactorStan
Licenses: GPL 3+
Build system: r
Synopsis: Stan Models for the Paired Comparison Factor Model
Description:

This package provides convenience functions and pre-programmed Stan models related to the paired comparison factor model. Its purpose is to make fitting paired comparison data using Stan easy. This package is described in Pritikin (2020) <doi:10.1016/j.heliyon.2020.e04821>.

r-powriclpm 0.2.1
Propagated dependencies: r-rlang@1.1.6 r-progressr@0.18.0 r-lifecycle@1.0.4 r-lavaan@0.6-20 r-ggplot2@4.0.1 r-future-apply@1.20.0 r-future@1.68.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://jeroendmulder.github.io/powRICLPM/
Licenses: Expat
Build system: r
Synopsis: Perform Power Analysis for the RI-CLPM and STARTS Model
Description:

Perform user-friendly power analyses for the random intercept cross-lagged panel model (RI-CLPM) and the bivariate stable trait autoregressive trait state (STARTS) model. The strategy as proposed by Mulder (2023) <doi:10.1080/10705511.2022.2122467> is implemented. Extensions include the use of parameter constraints over time, bounded estimation, generation of data with skewness and kurtosis, and the option to setup the power analysis for Mplus.

r-passed 1.2-2
Propagated dependencies: r-rootsolve@1.8.2.4 r-betareg@3.2-4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PASSED
Licenses: GPL 2+
Build system: r
Synopsis: Calculate Power and Sample Size for Two Sample Mean Tests
Description:

Power calculations are a critical component of any research study to determine the minimum sample size necessary to detect differences between multiple groups. Here we present an R package, PASSED', that performs power and sample size calculations for the test of two-sample means or ratios with data following beta, gamma (Chang et al. (2011), <doi:10.1007/s00180-010-0209-1>), normal, Poisson (Gu et al. (2008), <doi:10.1002/bimj.200710403>), binomial, geometric, and negative binomial (Zhu and Lakkis (2014), <doi:10.1002/sim.5947>) distributions.

r-ppdiag 0.1.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://owenward.github.io/ppdiag/
Licenses: Expat
Build system: r
Synopsis: Diagnosis and Visualizations Tools for Temporal Point Processes
Description:

This package provides a suite of diagnostic tools for univariate point processes. This includes tools for simulating and fitting both common and more complex temporal point processes. We also include functions to visualise these point processes and collect existing diagnostic tools of Brown et al. (2002) <doi:10.1162/08997660252741149> and Wu et al. (2021) <doi:10.1002/9781119821588.ch7>, which can be used to assess the fit of a chosen point process model.

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-powertools 1.0.0
Propagated dependencies: r-powertost@1.5-7 r-mvtnorm@1.3-3 r-knitr@1.50 r-hmisc@5.2-4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/powerandsamplesize/powertools
Licenses: Expat
Build system: r
Synopsis: Power and Sample Size Tools
Description:

Power and sample size calculations for a variety of study designs and outcomes. Methods include t tests, ANOVA (including tests for interactions, simple effects and contrasts), proportions, categorical data (chi-square tests and proportional odds), linear, logistic and Poisson regression, alternative and coprimary endpoints, power for confidence intervals, correlation coefficient tests, cluster randomized trials, individually randomized group treatment trials, multisite trials, treatment-by-covariate interaction effects and nonparametric tests of location. Utilities are provided for computing various effect sizes. Companion package to the book "Power and Sample Size in R", Crespi (2025, ISBN:9781138591622). Further resources available at <https://powerandsamplesize.org/>.

r-profileglmm 1.1.0
Propagated dependencies: r-spectrum@1.1 r-rcppdist@0.1.1.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mvtnorm@1.3-3 r-mcmcpack@1.7-1 r-matrix@1.7-4 r-laplacesdemon@16.1.6
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/MatteoAmestoy/ProfileGLMM-package
Licenses: GPL 2
Build system: r
Synopsis: Bayesian Profile Regression using Generalised Linear Mixed Models
Description:

This package implements a Bayesian profile regression using a generalized linear mixed model as output model. The package allows for binary (probit mixed model) and continuous (linear mixed model) outcomes and both continuous and categorical clustering variables. The package utilizes RcppArmadillo and RcppDist for high-performance statistical computing in C++. For more details see Amestoy & al. (2025) <doi:10.48550/arXiv.2510.08304>.

r-photobiologylamps 0.5.3
Propagated dependencies: r-photobiology@0.14.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://docs.r4photobiology.info/photobiologyLamps/
Licenses: GPL 2+
Build system: r
Synopsis: Spectral Irradiance Data for Lamps
Description:

Spectral emission data for some frequently used lamps including bulbs and flashlights based on led emitting diodes (LEDs) but excluding LEDs available as electronic components. Original spectral irradiance data for incandescent-, LED- and discharge lamps are included. They are complemented by data on the effect of temperature on the emission by fluorescent tubes. Part of the r4photobiology suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.

r-polycrossdesigns 1.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PolycrossDesigns
Licenses: GPL 2+
Build system: r
Synopsis: Polycross Designs ("PolycrossDesigns")
Description:

This package provides a polycross is the pollination by natural hybridization of a group of genotypes, generally selected, grown in isolation from other compatible genotypes in such a way to promote random open pollination. A particular practical application of the polycross method occurs in the production of a synthetic variety resulting from cross-pollinated plants. Laying out these experiments in appropriate designs, known as polycross designs, would not only save experimental resources but also gather more information from the experiment. Different experimental situations may arise in polycross nurseries which may be requiring different polycross designs (Varghese et. al. (2015) <doi:10.1080/02664763.2015.1043860>. " Experimental designs for open pollination in polycross trials"). This package contains a function named PD() which generates nine types of polycross designs suitable for various experimental situations.

r-pchc 1.3
Propagated dependencies: r-robustbase@0.99-6 r-rfast2@0.1.5.6 r-rfast@2.1.5.2 r-foreach@1.5.2 r-doparallel@1.0.17 r-dcov@0.1.1 r-bnlearn@5.1 r-bigstatsr@1.6.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pchc
Licenses: GPL 2+
Build system: r
Synopsis: Bayesian Network Learning with the PCHC and Related Algorithms
Description:

Bayesian network learning using the PCHC, FEDHC, MMHC and variants of these algorithms. PCHC stands for PC Hill-Climbing, a new hybrid algorithm that uses PC to construct the skeleton of the BN and then applies the Hill-Climbing greedy search. More algorithms and variants have been added, such as MMHC, FEDHC, and the Tabu search variants, PCTABU, MMTABU and FEDTABU. The relevant papers are: a) Tsagris M. (2021). "A new scalable Bayesian network learning algorithm with applications to economics". Computational Economics, 57(1): 341-367. <doi:10.1007/s10614-020-10065-7>. b) Tsagris M. (2022). "The FEDHC Bayesian Network Learning Algorithm". Mathematics 2022, 10(15): 2604. <doi:10.3390/math10152604>.

r-pdfestimator 4.5
Propagated dependencies: r-plot3d@1.4.2 r-multirng@1.2.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PDFEstimator
Licenses: GPL 2+
Build system: r
Synopsis: Multivariate Nonparametric Probability Density Estimator
Description:

Farmer, J., D. Jacobs (2108) <DOI:10.1371/journal.pone.0196937>. A multivariate nonparametric density estimator based on the maximum-entropy method. Accurately predicts a probability density function (PDF) for random data using a novel iterative scoring function to determine the best fit without overfitting to the sample.

r-perk 0.0.9.2
Propagated dependencies: r-zoo@1.8-14 r-viridis@0.6.5 r-tidyr@1.3.1 r-tibble@3.3.0 r-shinywidgets@0.9.0 r-shinyjs@2.1.0 r-shiny@1.11.1 r-readr@2.1.6 r-plotly@4.11.0 r-magrittr@2.0.4 r-golem@0.5.1 r-ggplot2@4.0.1 r-forcats@1.0.1 r-dt@0.34.0 r-dplyr@1.1.4 r-config@0.3.2 r-colourpicker@1.3.0 r-bs4dash@2.3.5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/jkkishore85/PERK/
Licenses: GPL 3+
Build system: r
Synopsis: Predicting Environmental Concentration and Risk
Description:

This package provides a Shiny Web Application to predict and visualize concentrations of pharmaceuticals in the aqueous environment. Jagadeesan K., Barden R. and Kasprzyk-Hordern B. (2022) <https://www.ssrn.com/abstract=4306129>.

r-piggyback 0.1.5
Propagated dependencies: r-memoise@2.0.1 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-glue@1.8.0 r-gh@1.5.0 r-fs@1.6.6 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/ropensci/piggyback
Licenses: GPL 3
Build system: r
Synopsis: Managing Larger Data on a GitHub Repository
Description:

Because larger (> 50 MB) data files cannot easily be committed to git, a different approach is required to manage data associated with an analysis in a GitHub repository. This package provides a simple work-around by allowing larger (up to 2 GB) data files to piggyback on a repository as assets attached to individual GitHub releases. These files are not handled by git in any way, but instead are uploaded, downloaded, or edited directly by calls through the GitHub API. These data files can be versioned manually by creating different releases. This approach works equally well with public or private repositories. Data can be uploaded and downloaded programmatically from scripts. No authentication is required to download data from public repositories.

r-pop-wolf 1.0
Propagated dependencies: r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pop.wolf
Licenses: GPL 3
Build system: r
Synopsis: Models for Simulating Wolf Populations
Description:

Simulate the dynamic of wolf populations using a specific Individual-Based Model (IBM) compiled in C, see Chapron et al. (2016) <doi:10.1016/j.ecolmodel.2016.08.012>.

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