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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-permalgo 1.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PermAlgo
Licenses: GPL 2
Build system: r
Synopsis: Permutational Algorithm to Simulate Survival Data
Description:

This version of the permutational algorithm generates a dataset in which event and censoring times are conditional on an user-specified list of covariates, some or all of which are time-dependent.

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-piecewisesem 2.3.1
Propagated dependencies: r-performance@0.15.2 r-nlme@3.1-168 r-mumin@1.48.11 r-multcomp@1.4-29 r-mass@7.3-65 r-lme4@1.1-37 r-igraph@2.2.1 r-emmeans@2.0.0 r-diagrammer@1.0.11 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/jslefche/
Licenses: GPL 3
Build system: r
Synopsis: Piecewise Structural Equation Modeling
Description:

This package implements piecewise structural equation modeling from a single list of structural equations, with new methods for non-linear, latent, and composite variables, standardized coefficients, query-based prediction and indirect effects. See <http://jslefche.github.io/piecewiseSEM/> for more.

r-peakerror 2023.9.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PeakError
Licenses: GPL 3
Build system: r
Synopsis: Compute the Label Error of Peak Calls
Description:

Chromatin immunoprecipitation DNA sequencing results in genomic tracks that show enriched regions or peaks where proteins are bound. This package implements fast C code that computes the true and false positives with respect to a database of annotated region labels.

r-popreconstruct 1.0-6
Propagated dependencies: r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=popReconstruct
Licenses: GPL 3
Build system: r
Synopsis: Reconstruct Human Populations of the Recent Past
Description:

This package implements the Bayesian hierarchical model described by Wheldon, Raftery, Clark and Gerland (see: <doi:10.1080/01621459.2012.737729>) for simultaneously estimating age-specific population counts, fertility rates, mortality rates and net international migration flows, at the national level.

r-pegrouptesting 1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PEGroupTesting
Licenses: GPL 2
Build system: r
Synopsis: Population Proportion Estimation using Group Testing
Description:

The population proportion using group testing can be estimated by different methods. Four functions including p.mle(), p.gart(), p.burrow() and p.order() are provided to implement four estimating methods including the maximum likelihood estimate, Gart's estimate, Burrow's estimate, and order statistic estimate.

r-pinochet 0.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: http://github.com/danilofreire/pinochet
Licenses: Expat
Build system: r
Synopsis: Data About the Victims of the Pinochet Regime, 1973-1990
Description:

Packages data about the victims of the Pinochet regime as compiled by the Chilean National Commission for Truth and Reconciliation Report (1991, ISBN:9780268016463).

r-pooldilutionr 1.0.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PoolDilutionR
Licenses: Expat
Build system: r
Synopsis: Calculate Gross Biogeochemical Flux Rates from Isotope Pool Dilution Data
Description:

Pool dilution is a isotope tracer technique wherein a biogeochemical pool is artifically enriched with its heavy isotopologue and the gross productive and consumptive fluxes of that pool are quantified by the change in pool size and isotopic composition over time. This package calculates gross production and consumption rates from closed-system isotopic pool dilution time series data. Pool size concentrations and heavy isotope (e.g., 15N) content are measured over time and the model optimizes production rate (P) and the first order rate constant (k) by minimizing error in the model-predicted total pool size, as well as the isotopic signature. The model optimizes rates by weighting information against the signal:noise ratio of concentration and heavy- isotope signatures using measurement precision as well as the magnitude of change over time. The calculations used here are based on von Fischer and Hedin (2002) <doi:10.1029/2001GB001448> with some modifications.

r-primefactr 0.1.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/privefl/primefactr
Licenses: GPL 3
Build system: r
Synopsis: Use Prime Factorization for Computations
Description:

Use Prime Factorization for simplifying computations, for instance for ratios of large factorials.

r-pafit 1.2.11
Propagated dependencies: r-vgam@1.1-13 r-rcpp@1.1.0 r-rcolorbrewer@1.1-3 r-plyr@1.8.9 r-networkdynamic@0.11.5 r-network@1.19.0 r-mass@7.3-65 r-mapproj@1.2.12 r-magicaxis@2.5.1 r-knitr@1.50 r-igraph@2.2.1 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/thongphamthe/PAFit
Licenses: GPL 3
Build system: r
Synopsis: Generative Mechanism Estimation in Temporal Complex Networks
Description:

Statistical methods for estimating preferential attachment and node fitness generative mechanisms in temporal complex networks are provided. Thong Pham et al. (2015) <doi:10.1371/journal.pone.0137796>. Thong Pham et al. (2016) <doi:10.1038/srep32558>. Thong Pham et al. (2020) <doi:10.18637/jss.v092.i03>. Thong Pham et al. (2021) <doi:10.1093/comnet/cnab024>.

r-ppgmmga 1.3.1
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-mclust@6.1.2 r-ggplot2@4.0.1 r-ga@3.2.4 r-crayon@1.5.3 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/luca-scr/ppgmmga
Licenses: GPL 2+
Build system: r
Synopsis: Projection Pursuit Based on Gaussian Mixtures and Evolutionary Algorithms
Description:

Projection Pursuit (PP) algorithm for dimension reduction based on Gaussian Mixture Models (GMMs) for density estimation using Genetic Algorithms (GAs) to maximise an approximated negentropy index. For more details see Scrucca and Serafini (2019) <doi:10.1080/10618600.2019.1598871>.

r-plsmmlasso 1.1.0
Propagated dependencies: r-scalreg@1.0.1 r-rlang@1.1.6 r-mvtnorm@1.3-3 r-mass@7.3-65 r-hdi@0.1-10 r-glmnet@4.1-10 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/Sami-Leon/plsmmLasso
Licenses: GPL 3+
Build system: r
Synopsis: Variable Selection and Inference for Partial Semiparametric Linear Mixed-Effects Model
Description:

This package implements a partial linear semiparametric mixed-effects model (PLSMM) featuring a random intercept and applies a lasso penalty to both the fixed effects and the coefficients associated with the nonlinear function. The model also accommodates interactions between the nonlinear function and a grouping variable, allowing for the capture of group-specific nonlinearities. Nonlinear functions are modeled using a set of bases functions. Estimation is conducted using a penalized Expectation-Maximization algorithm, and the package offers flexibility in choosing between various information criteria for model selection. Post-selection inference is carried out using a debiasing method, while inference on the nonlinear functions employs a bootstrap approach.

r-pharmaverse 0.0.2
Propagated dependencies: r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/pharmaverse/pharmaverse-pkg
Licenses: Expat
Build system: r
Synopsis: Navigate 'Pharmaverse'
Description:

The pharmaverse is a set of packages that compose multiple pathways through clinical data generation and reporting in the pharmaceutical industry. This package is designed to guide users to our work-spaces on GitHub', Slack and LinkedIn as well as our website and examples. Learn more about the pharmaverse at <https://pharmaverse.org>.

r-ppks 1.0
Propagated dependencies: r-rfast@2.1.5.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=ppks
Licenses: GPL 2+
Build system: r
Synopsis: Permutation Based Paired Kolmogorov-Smirnov Test
Description:

Permutation based Kolmogorov-Smirnov test for paired samples. The test was proposed by Wang W.S., Amsler C. and Schmidt, P. (2025) <doi:10.1007/s00181-025-02779-0>.

r-portfolio 0.5-3
Propagated dependencies: r-nlme@3.1-168 r-lattice@0.22-7
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/dgerlanc/portfolio
Licenses: GPL 2+
Build system: r
Synopsis: Analysing Equity Portfolios
Description:

This package provides classes for analysing and implementing equity portfolios, including routines for generating tradelists and calculating exposures to user-specified risk factors.

r-pathwayvote 0.1.3
Propagated dependencies: r-parallelly@1.45.1 r-harmonicmeanp@3.0.1 r-future@1.68.0 r-furrr@0.3.1 r-clusterprofiler@4.18.2 r-annotationdbi@1.72.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PathwayVote
Licenses: Expat
Build system: r
Synopsis: Robust Pathway Enrichment for DNA Methylation Studies Using Ensemble Voting
Description:

This package performs pathway enrichment analysis using a voting-based framework that integrates CpGâ gene regulatory information from expression quantitative trait methylation (eQTM) data. For a grid of top-ranked CpGs and filtering thresholds, gene sets are generated and refined using an entropy-based pruning strategy that balances information richness, stability, and probe bias correction. In particular, gene lists dominated by genes with disproportionately high numbers of CpG mappings are penalized to mitigate active probe biasâ a common artifact in methylation data analysis. Enrichment results across parameter combinations are then aggregated using a voting scheme, prioritizing pathways that are consistently recovered under diverse settings and robust to parameter perturbations.

r-portfoliobacktest 0.4.1
Propagated dependencies: r-zoo@1.8-14 r-xts@0.14.1 r-rlang@1.1.6 r-r-utils@2.13.0 r-quantmod@0.4.28 r-quadprog@1.5-8 r-performanceanalytics@2.0.8 r-pbapply@1.7-4 r-ggplot2@4.0.1 r-evaluate@1.0.5 r-digest@0.6.39
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://CRAN.R-project.org/package=portfolioBacktest
Licenses: GPL 3
Build system: r
Synopsis: Automated Backtesting of Portfolios over Multiple Datasets
Description:

Automated backtesting of multiple portfolios over multiple datasets of stock prices in a rolling-window fashion. Intended for researchers and practitioners to backtest a set of different portfolios, as well as by a course instructor to assess the students in their portfolio design in a fully automated and convenient manner, with results conveniently formatted in tables and plots. Each portfolio design is easily defined as a function that takes as input a window of the stock prices and outputs the portfolio weights. Multiple portfolios can be easily specified as a list of functions or as files in a folder. Multiple datasets can be conveniently extracted randomly from different markets, different time periods, and different subsets of the stock universe. The results can be later assessed and ranked with tables based on a number of performance criteria (e.g., expected return, volatility, Sharpe ratio, drawdown, turnover rate, return on investment, computational time, etc.), as well as plotted in a number of ways with nice barplots and boxplots.

r-propubbills 0.1
Propagated dependencies: r-stringr@1.6.0 r-httr@1.4.7 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=proPubBills
Licenses: Expat
Build system: r
Synopsis: 'ProPublica' U.S. Congress Bills API Wrapper
Description:

An API wrapper around the ProPublica API <https://projects.propublica.org/api-docs/congress-api/> for U.S. Congressional Bills. Users can include their API key, U.S. Congress, branch, and offset ranges, to return a dataframe of all results within those parameters. This package is different from the RPublica package because it is for the ProPublica U.S. Congress data API, and the RPublica package is for the Nonprofit Explorer, Forensics, and Free the Files data APIs.

r-peruse 0.3.1
Propagated dependencies: r-rlang@1.1.6 r-magrittr@2.0.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/jacgoldsm/peruse
Licenses: GPL 2
Build system: r
Synopsis: Tidy API for Sequence Iteration and Set Comprehension
Description:

This package provides a friendly API for sequence iteration and set comprehension.

r-ppmiss 0.1.1
Propagated dependencies: r-zoo@1.8-14 r-pracma@2.4.6 r-copula@1.1-6
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PPMiss
Licenses: GPL 3+
Build system: r
Synopsis: Copula-Based Estimator for Long-Range Dependent Processes under Missing Data
Description:

This package implements the copula-based estimator for univariate long-range dependent processes, introduced in Pumi et al. (2023) <doi:10.1007/s00362-023-01418-z>. Notably, this estimator is capable of handling missing data and has been shown to perform exceptionally well, even when up to 70% of data is missing (as reported in <arXiv:2303.04754>) and has been found to outperform several other commonly applied estimators.

r-planesmuestra 0.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=Planesmuestra
Licenses: GPL 2+
Build system: r
Synopsis: Functions for Calculating Dodge Romig, MIL STD 105E and MIL STD 414 Acceptance Sampling Plan
Description:

Calculates an acceptance sampling plan, (sample size and acceptance number) based in MIL STD 105E, Dodge Romig and MIL STD 414 tables and procedures. The arguments for each function are related to lot size, inspection level and quality level. The specific plan operating curve (OC), is calculated by the binomial distribution.

r-pipe-design 0.5.1
Propagated dependencies: r-xtable@1.8-4 r-gtools@3.9.5 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=pipe.design
Licenses: GPL 2+
Build system: r
Synopsis: Dual-Agent Dose Escalation for Phase I Trials using the PIPE Design
Description:

This package implements the Product of Independent beta Probabilities dose Escalation (PIPE) design for dual-agent Phase I trials as described in Mander AP, Sweeting MJ (2015) <DOI:10.1002/sim.6434>.

r-phenmodel 1.0
Propagated dependencies: r-reshape@0.8.10 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=phenModel
Licenses: GPL 2+
Build system: r
Synopsis: Insect Phenology Model Evaluation Based on Daily Temperatures
Description:

Generates predicted stage change days for an insect, based on daily temperatures and development rate parameters, as developed by Pollard (2014) <http://mural.maynoothuniversity.ie/view/ethesisauthor/Pollard=3ACiaran_P=2E=3A=3A.html>. A few example datasets are included and implemented for P. vulgatissima, the blue willow beetle, but the approach can be readily applied to other species that display similar behaviour.

r-proscorer 0.0.4
Propagated dependencies: r-proscorertools@0.0.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/raybaser/PROscorer
Licenses: Expat
Build system: r
Synopsis: Functions to Score Commonly-Used Patient-Reported Outcome (PRO) Measures and Other Psychometric Instruments
Description:

An extensible repository of accurate, up-to-date functions to score commonly used patient-reported outcome (PRO), quality of life (QOL), and other psychometric and psychological measures. PROscorer', together with the PROscorerTools package, is a system to facilitate the incorporation of PRO measures into research studies and clinical settings in a scientifically rigorous and reproducible manner. These packages and their vignettes are intended to help establish and promote best practices for scoring PRO and PRO-like measures in research. The PROscorer Instrument Descriptions vignette contains descriptions of each instrument scored by PROscorer', complete with references. These instrument descriptions are suitable for inclusion in formal study protocol documents, grant proposals, and manuscript Method sections. Each PROscorer function is composed of helper functions from the PROscorerTools package, and users are encouraged to contribute new functions to PROscorer'. More scoring functions are currently in development and will be added in future updates.

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