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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-prodigenr 0.7.0
Propagated dependencies: r-withr@3.0.2 r-whisker@0.4.1 r-rprojroot@2.1.1 r-rlang@1.1.6 r-gert@2.2.0 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/rostools/prodigenr
Licenses: Expat
Build system: r
Synopsis: Research Project Directory Generator
Description:

Create a project directory structure, along with typical files for that project. This allows projects to be quickly and easily created, as well as for them to be standardized. Designed specifically with scientists in mind (mainly bio-medical researchers, but likely applies to other fields).

r-partiallyoverlapping 2.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=Partiallyoverlapping
Licenses: GPL 3
Build system: r
Synopsis: Partially Overlapping Samples Tests
Description:

Tests for a comparison of two partially overlapping samples. A comparison of means using the partially overlapping samples t-test: See Derrick, Russ, Toher and White (2017), Test statistics for the comparison of means for two samples which include both paired observations and independent observations, Journal of Modern Applied Statistical Methods, 16(1). A comparison of proportions using the partially overlapping samples z-test: See Derrick, Dobson-Mckittrick, Toher and White (2015), Test statistics for comparing two proportions with partially overlapping samples. Journal of Applied Quantitative Methods, 10(3).

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-persuade 0.1.2
Propagated dependencies: r-survminer@0.5.1 r-survival@3.8-3 r-sft@2.4 r-rms@8.1-0 r-rmarkdown@2.30 r-muhaz@1.2.6.4 r-ggplot2@4.0.1 r-flexsurvcure@1.3.3 r-flexsurv@2.3.2 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/Bram-R/PERSUADE
Licenses: GPL 3+
Build system: r
Synopsis: Parametric Survival Model Selection for Decision-Analytic Models
Description:

This package provides a standardized framework to support the selection and evaluation of parametric survival models for time-to-event data. Includes tools for visualizing survival data, checking proportional hazards assumptions (Grambsch and Therneau, 1994, <doi:10.1093/biomet/81.3.515>), comparing parametric (Ishak and colleagues, 2013, <doi:10.1007/s40273-013-0064-3>), spline (Royston and Parmar, 2002, <doi:10.1002/sim.1203>) and cure models, examining hazard functions, and evaluating model extrapolation. Methods are consistent with recommendations in the NICE Decision Support Unit Technical Support Documents (14 and 21 <https://sheffield.ac.uk/nice-dsu/tsds/survival-analysis>). Results are structured to facilitate integration into decision-analytic models, and reports can be generated with rmarkdown'. The package builds on existing tools including flexsurv (Jackson, 2016, <doi:10.18637/jss.v070.i08>)) and flexsurvcure for estimating cure models.

r-pelvis 2.0.4
Propagated dependencies: r-shiny@1.11.1 r-mass@7.3-65 r-htmlwidgets@1.6.4 r-dt@0.34.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://gitlab.com/f-santos/pelvis/
Licenses: FSDG-compatible FSDG-compatible
Build system: r
Synopsis: Probabilistic Sex Estimate using Logistic Regression, Based on VISual Traits of the Human Os Coxae
Description:

An R-Shiny application implementing a method of sexing the human os coxae based on logistic regressions and Bruzek's nonmetric traits <doi:10.1002/ajpa.23855>.

r-pmetar 0.7.0
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-rcurl@1.98-1.17 r-magrittr@2.0.4 r-lubridate@1.9.4 r-httr2@1.2.1 r-dplyr@1.1.4 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/prcwiek/pmetar
Licenses: GPL 3+
Build system: r
Synopsis: Processing METAR Weather Reports
Description:

Allows to download current and historical METAR weather reports extract and parse basic parameters and present main weather information. Current reports are downloaded from Aviation Weather Center <https://aviationweather.gov/data/metar/> and historical reports from Iowa Environmental Mesonet web page of Iowa State University ASOS-AWOS-METAR <http://mesonet.agron.iastate.edu/AWOS/>.

r-ptable 1.0.0
Propagated dependencies: r-rmarkdown@2.30 r-rlang@1.1.6 r-rcolorbrewer@1.1-3 r-nloptr@2.2.1 r-ggplot2@4.0.1 r-flexdashboard@0.6.2 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/sdcTools/ptable
Licenses: FSDG-compatible
Build system: r
Synopsis: Generation of Perturbation Tables for the Cell-Key Method
Description:

Tabular data from statistical institutes and agencies are mostly confidential and must be protected prior to publications. The cell-key method is a post-tabular Statistical Disclosure Control perturbation technique that adds random noise to tabular data. The statistical properties of the perturbations are defined by some noise probability distributions - also referred to as perturbation tables. This tool can be used to create the perturbation tables based on a maximum entropy approach as described for example in Giessing (2016) <doi:10.1007/978-3-319-45381-1_18>. The perturbation tables created can finally be used to apply a cell-key method to frequency count or magnitude tables.

r-properties 0.0-9
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://www.rservicebus.io/
Licenses: GPL 2
Build system: r
Synopsis: Parse 'Java' Properties Files for 'R Service Bus' Applications
Description:

Allows to parse Java properties files in the context of R Service Bus applications.

r-pems-utils 0.3.1.2
Propagated dependencies: r-tibble@3.3.0 r-rlang@1.1.6 r-loa@0.3.1.1 r-lattice@0.22-7 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-baseline@1.3-7
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: http://pems.r-forge.r-project.org/
Licenses: GPL 2+
Build system: r
Synopsis: Portable Emissions (and Other Mobile) Measurement System Utilities
Description:

Utility functions for the handling, analysis and visualisation of data from portable emissions measurement systems ('PEMS') and other similar mobile activity monitoring devices. The package includes a dedicated pems data class that manages many of the quality control, unit handling and data archiving issues that can hinder efforts to standardise PEMS research.

r-polysegratiomm 0.6-5
Propagated dependencies: r-polysegratio@0.2-6 r-lattice@0.22-7 r-gtools@3.9.5 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/petebaker/polysegratiomm
Licenses: GPL 3
Build system: r
Synopsis: Bayesian Mixture Models for Marker Dosage in Autopolyploids
Description:

Fits Bayesian mixture models to estimate marker dosage for dominant markers in autopolyploids using JAGS (1.0 or greater) as outlined in Baker et al "Bayesian estimation of marker dosage in sugarcane and other autopolyploids" (2010, <doi:10.1007/s00122-010-1283-z>). May be used in conjunction with polySegratio for simulation studies and comparison with standard methods.

r-pspline 1.0-21
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pspline
Licenses: FSDG-compatible
Build system: r
Synopsis: Penalized Smoothing Splines
Description:

Smoothing splines with penalties on order m derivatives.

r-profilelikelihood 1.3
Propagated dependencies: r-nlme@3.1-168 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=ProfileLikelihood
Licenses: GPL 3+
Build system: r
Synopsis: Profile Likelihood for a Parameter in Commonly Used Statistical Models
Description:

This package provides profile likelihoods for a parameter of interest in commonly used statistical models. The models include linear models, generalized linear models, proportional odds models, linear mixed-effects models, and linear models for longitudinal responses fitted by generalized least squares. The package also provides plots for normalized profile likelihoods as well as the maximum profile likelihood estimates and the kth likelihood support intervals.

r-phyloregion 1.0.9
Propagated dependencies: r-vegan@2.7-2 r-terra@1.8-86 r-smoothr@1.2.1 r-predicts@0.1-19 r-phangorn@2.12.1 r-matrix@1.7-4 r-maptpx@1.9-7 r-igraph@2.2.1 r-colorspace@2.1-2 r-clustmixtype@0.4-2 r-betapart@1.6.1 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/darunabas/phyloregion
Licenses: AGPL 3
Build system: r
Synopsis: Biogeographic Regionalization and Macroecology
Description:

Computational infrastructure for biogeography, community ecology, and biodiversity conservation (Daru et al. 2020) <doi:10.1111/2041-210X.13478>. It is based on the methods described in Daru et al. (2020) <doi:10.1038/s41467-020-15921-6>. The original conceptual work is described in Daru et al. (2017) <doi:10.1016/j.tree.2017.08.013> on patterns and processes of biogeographical regionalization. Additionally, the package contains fast and efficient functions to compute more standard conservation measures such as phylogenetic diversity, phylogenetic endemism, evolutionary distinctiveness and global endangerment, as well as compositional turnover (e.g., beta diversity).

r-paice 1.0.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: <https://github.com/PAICEcode/PAICE>
Licenses: GPL 2
Build system: r
Synopsis: Phylogeographic Analysis of Island Colonization Events
Description:

Estimation of the number of colonization events between islands of the same archipelago for a species. It uses rarefaction curves to control for both field and genetic sample sizes as it was described in Coello et al. (2022) <doi:10.1111/jbi.14341>.

r-pmwr 1.2-0
Propagated dependencies: r-zoo@1.8-14 r-textutils@0.4-3 r-orgutils@0.5-3 r-nmof@2.11-0 r-fastmatch@1.1-6 r-datetimeutils@0.6-6
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://enricoschumann.net/PMwR/
Licenses: GPL 3
Build system: r
Synopsis: Portfolio Management with R
Description:

This package provides tools for the practical management of financial portfolios: backtesting investment and trading strategies, computing profit/loss and returns, analysing trades, handling lists of transactions, reporting, and more. The package provides a small set of reliable, efficient and convenient tools for processing and analysing trade/portfolio data. The manual provides all the details; it is available from <https://enricoschumann.net/R/packages/PMwR/manual/PMwR.html>. Examples and descriptions of new features are provided at <https://enricoschumann.net/notes/PMwR/>.

r-plinkqc 1.0.1
Dependencies: plink@1.07
Propagated dependencies: r-upsetr@1.4.0 r-tidyr@1.3.1 r-sys@3.4.3 r-randomforest@4.7-1.2 r-r-utils@2.13.0 r-optparse@1.7.5 r-igraph@2.2.1 r-ggrepel@0.9.6 r-ggplot2@4.0.1 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://meyer-lab-cshl.github.io/plinkQC/
Licenses: Expat
Build system: r
Synopsis: Genotype Quality Control with 'PLINK'
Description:

Genotyping arrays enable the direct measurement of an individuals genotype at thousands of markers. plinkQC facilitates genotype quality control for genetic association studies as described by Anderson and colleagues (2010) <doi:10.1038/nprot.2010.116>. It makes PLINK basic statistics (e.g. missing genotyping rates per individual, allele frequencies per genetic marker) and relationship functions accessible from R and generates a per-individual and per-marker quality control report. Individuals and markers that fail the quality control can subsequently be removed to generate a new, clean dataset. Removal of individuals based on relationship status is optimised to retain as many individuals as possible in the study. Additionally, there is a trained classifier to predict genomic ancestry of human samples.

r-phers 1.0.5
Propagated dependencies: r-survival@3.8-3 r-iterators@1.0.14 r-foreach@1.5.2 r-data-table@1.17.8 r-checkmate@2.3.3 r-bedmatrix@2.0.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://phers.hugheylab.org
Licenses: GPL 2
Build system: r
Synopsis: Calculate Phenotype Risk Scores
Description:

Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and rare genetic variants. See Bastarache et al. 2018 <doi:10.1126/science.aal4043>.

r-posetr 1.1.4
Propagated dependencies: r-rdpack@2.6.4 r-rcpp@1.1.0 r-igraph@2.2.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=POSetR
Licenses: GPL 2+
Build system: r
Synopsis: Partially Ordered Sets in R
Description:

This package provides a set of basic tools for generating, analyzing, summarizing and visualizing finite partially ordered sets. In particular, it implements flexible and very efficient algorithms for the extraction of linear extensions and for the computation of mutual ranking probabilities and other user-defined functionals, over them. The package is meant as a computationally efficient "engine", for the implementation of data analysis procedures, on systems of multidimensional ordinal indicators and partially ordered data, in the spirit of Fattore, M. (2016) "Partially ordered sets and the measurement of multidimensional ordinal deprivation", Social Indicators Research <DOI:10.1007/s11205-015-1059-6>, and Fattore M. and Arcagni, A. (2018) "A reduced posetic approach to the measurement of multidimensional ordinal deprivation", Social Indicators Research <DOI:10.1007/s11205-016-1501-4>.

r-plfm 2.2.6
Propagated dependencies: r-sfsmisc@1.1-23 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=plfm
Licenses: GPL 2+
Build system: r
Synopsis: Probabilistic Latent Feature Analysis
Description:

This package provides functions for estimating probabilistic latent feature models with a disjunctive, conjunctive or additive mapping rule on (aggregated) binary three-way data.

r-promotionimpact 0.1.5
Propagated dependencies: r-strucchange@1.5-4 r-stringr@1.6.0 r-scales@1.4.0 r-reshape2@1.4.5 r-rcpp@1.1.0 r-prophet@1.1.7 r-lmtest@0.9-40 r-kernsmooth@2.23-26 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/ncsoft/promotionImpact
Licenses: Modified BSD
Build system: r
Synopsis: Analysis & Measurement of Promotion Effectiveness
Description:

Analysis and measurement of promotion effectiveness on a given target variable (e.g. daily sales). After converting promotion schedule into dummy or smoothed predictor variables, the package estimates the effects of these variables controlled for trend/periodicity/structural change using prophet by Taylor and Letham (2017) <doi:10.7287/peerj.preprints.3190v2> and some prespecified variables (e.g. start of a month).

r-pln 0.2-3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pln
Licenses: GPL 3
Build system: r
Synopsis: Polytomous Logit-Normit (Graded Logistic) Model Estimation
Description:

This package performs bivariate composite likelihood and full information maximum likelihood estimation for polytomous logit-normit (graded logistic) item response theory (IRT) models.

r-polykde 1.1.7
Propagated dependencies: r-sphunif@1.4.3 r-rotasym@1.2.0 r-rcppprogress@0.4.2 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-progressr@0.18.0 r-movmf@0.2-10 r-gsl@2.1-9 r-future@1.68.0 r-foreach@1.5.2 r-dofuture@1.1.2 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/egarpor/polykde
Licenses: GPL 3
Build system: r
Synopsis: Polyspherical Kernel Density Estimation
Description:

Kernel density estimation on the polysphere, (hyper)sphere, and circle. Includes functions for density estimation, regression estimation, ridge estimation, bandwidth selection, kernels, samplers, and homogeneity tests. Companion package to Garcà a-Portugués and Meilán-Vila (2025) <doi:10.1080/01621459.2025.2521898> and Garcà a-Portugués and Meilán-Vila (2023) <doi:10.1007/978-3-031-32729-2_4>.

r-pharmaverseraw 0.1.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://pharmaverse.github.io/pharmaverseraw/
Licenses: ASL 2.0
Build system: r
Synopsis: Raw Data for 'pharmaversesdtm' Package
Description:

This package provides a set of raw datasets used to create SDTM domains in pharmaversesdtm package.

r-pedmut 0.9.0
Propagated dependencies: r-lpsolve@5.6.23
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/magnusdv/pedmut
Licenses: GPL 3
Build system: r
Synopsis: Mutation Models for Pedigree Likelihood Computations
Description:

This package provides a collection of functions for modelling mutations in pedigrees with marker data, as used e.g. in likelihood computations with microsatellite data. Implemented models include equal, proportional and stepwise models, as well as random models for experimental work, and custom models allowing the user to apply any valid mutation matrix. Allele lumping is done following the lumpability criteria of Kemeny and Snell (1976), ISBN:0387901922.

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