_            _    _        _         _
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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-planets 0.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=planets
Licenses: Expat
Build system: r
Synopsis: Simple and Accessible Data from all Known Planets
Description:

The goal of planets is to provide of very simple and accessible data containing basic information from all known planets.

r-peacock-test 1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=Peacock.test
Licenses: GPL 2
Build system: r
Synopsis: Two and Three Dimensional Kolmogorov-Smirnov Two-Sample Tests
Description:

The original definition of the two and three dimensional Kolmogorov-Smirnov two-sample test statistics given by Peacock (1983) is implemented. Two R-functions: peacock2 and peacock3, are provided to compute the test statistics in two and three dimensional spaces, respectively. Note the Peacock test is different from the Fasano and Franceschini test (1987). The latter is a variant of the Peacock test.

r-pss-health 1.1.5
Propagated dependencies: r-writexl@1.5.4 r-shinyhelper@0.3.2 r-shinyfeedback@0.4.0 r-shinycssloaders@1.1.0 r-shiny@1.11.1 r-pwr2@1.0 r-pwr@1.3-0 r-proc@1.19.0.1 r-presize@0.3.9 r-powersurvepi@0.1.5 r-powermediation@0.3.4 r-plotly@4.11.0 r-longpower@1.0.27 r-kappasize@1.2 r-icc-sample-size@1.0 r-ggplot2@4.0.1 r-epir@2.0.91 r-envstats@3.1.0 r-easypower@1.0.2 r-dt@0.34.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://hcpa-unidade-bioestatistica.shinyapps.io/PSS_Health/
Licenses: GPL 2+
Build system: r
Synopsis: Power and Sample Size for Health Researchers via Shiny
Description:

Power and Sample Size for Health Researchers is a Shiny application that brings together a series of functions related to sample size and power calculations for common analysis in the healthcare field. There are functionalities to calculate the power, sample size to estimate or test hypotheses for means and proportions (including test for correlated groups, equivalence, non-inferiority and superiority), association, correlations coefficients, regression coefficients (linear, logistic, gamma, and Cox), linear mixed model, Cronbach's alpha, interobserver agreement, intraclass correlation coefficients, limit of agreement on Bland-Altman plots, area under the curve, sensitivity and specificity incorporating the prevalence of disease. You can also use the online version at <https://hcpa-unidade-bioestatistica.shinyapps.io/PSS_Health/>.

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-ppitables 0.6.1
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/katilingban/ppitables
Licenses: Expat
Build system: r
Synopsis: Lookup Tables to Generate Poverty Likelihoods and Rates using the Poverty Probability Index (PPI)
Description:

The Poverty Probability Index (PPI) is a poverty measurement tool for organizations and businesses with a mission to serve the poor. The PPI is statistically-sound, yet simple to use: the answers to 10 questions about a household's characteristics and asset ownership are scored to compute the likelihood that the household is living below the poverty line - or above by only a narrow margin. This package contains country-specific lookup data tables used as reference to determine the poverty likelihood of a household based on their score from the country-specific PPI questionnaire. These lookup tables have been extracted from documentation of the PPI found at <https://www.povertyindex.org> and managed by Innovations for Poverty Action <https://poverty-action.org/>.

r-phscs 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-stringr@1.6.0 r-purrr@1.2.0 r-jsonlite@2.0.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://yng-me.github.io/phscs/
Licenses: Expat
Build system: r
Synopsis: Philippine Statistical Classification Systems
Description:

This package provides a unified interface to access and manipulate various Philippine statistical classifications. It allows users to retrieve, filter, and harmonize classification data, making it easier to work with Philippine statistical data in R.

r-parfm 2.7.8
Propagated dependencies: r-survival@3.8-3 r-sn@2.1.1 r-optimx@2025-4.9 r-msm@1.8.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=parfm
Licenses: GPL 2
Build system: r
Synopsis: Parametric Frailty Models
Description:

Fits Parametric Frailty Models by maximum marginal likelihood. Possible baseline hazards: exponential, Weibull, inverse Weibull (Fréchet), Gompertz, lognormal, log-skew-normal, and loglogistic. Possible Frailty distributions: gamma, positive stable, inverse Gaussian and lognormal.

r-provdebugr 1.0.1
Propagated dependencies: r-textutils@0.4-3 r-provparser@1.0 r-provgraphr@1.0.1 r-jsonlite@2.0.0 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=provDebugR
Licenses: GPL 3
Build system: r
Synopsis: Time-Travelling Debugger
Description:

Uses provenance post-execution to help the user understand and debug their script by providing functions to look at intermediate steps and data values, their forwards and backwards lineage, and to understand the steps leading up to warning and error messages. provDebugR uses provenance produced by rdtLite (available on CRAN), stored in PROV-JSON format.

r-plrmodels 1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PLRModels
Licenses: GPL 3
Build system: r
Synopsis: Statistical Inference in Partial Linear Regression Models
Description:

This package contains statistical inference tools applied to Partial Linear Regression (PLR) models. Specifically, point estimation, confidence intervals estimation, bandwidth selection, goodness-of-fit tests and analysis of covariance are considered. Kernel-based methods, combined with ordinary least squares estimation, are used and time series errors are allowed. In addition, these techniques are also implemented for both parametric (linear) and nonparametric regression models.

r-pewdata 0.3.2
Propagated dependencies: r-stringr@1.6.0 r-rselenium@1.7.9 r-rio@1.2.4 r-purrr@1.2.0 r-magrittr@2.0.4 r-foreign@0.8-90
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/fsolt/pewdata
Licenses: Expat
Build system: r
Synopsis: Reproducible Retrieval of Pew Research Center Datasets
Description:

Reproducible, programmatic retrieval of survey datasets from the Pew Research Center.

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-pmparser 1.0.25
Dependencies: unzip@6.0 sqlite@3.39.3
Propagated dependencies: r-xml2@1.5.0 r-withr@3.0.2 r-rcurl@1.98-1.17 r-r-utils@2.13.0 r-jsonlite@2.0.0 r-iterators@1.0.14 r-glue@1.8.0 r-foreach@1.5.2 r-dbi@1.2.3 r-data-table@1.17.8 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://pmparser.hugheylab.org
Licenses: GPL 2
Build system: r
Synopsis: Create and Maintain a Relational Database of Data from PubMed/MEDLINE
Description:

This package provides a simple interface for extracting various elements from the publicly available PubMed XML files, incorporating PubMed's regular updates, and combining the data with the NIH Open Citation Collection. See Schoenbachler and Hughey (2021) <doi:10.7717/peerj.11071>.

r-plsmselect 0.2.0
Propagated dependencies: r-survival@3.8-3 r-mgcv@1.9-4 r-glmnet@4.1-10 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=plsmselect
Licenses: GPL 2
Build system: r
Synopsis: Linear and Smooth Predictor Modelling with Penalisation and Variable Selection
Description:

Fit a model with potentially many linear and smooth predictors. Interaction effects can also be quantified. Variable selection is done using penalisation. For l1-type penalties we use iterative steps alternating between using linear predictors (lasso) and smooth predictors (generalised additive model).

r-pdmif 0.1.0
Propagated dependencies: r-quantreg@6.1 r-ncvreg@3.16.0 r-diagonals@6.4.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PDMIF
Licenses: Expat
Build system: r
Synopsis: Fits Heterogeneous Panel Data Models
Description:

Fits heterogeneous panel data models with interactive effects for linear regression, logistic, count, probit, quantile, and clustering. Based on Ando, T. and Bai, J. (2015) "A simple new test for slope homogeneity in panel data models with interactive effects" <doi: 10.1016/j.econlet.2015.09.019>, Ando, T. and Bai, J. (2015) "Asset Pricing with a General Multifactor Structure" <doi: 10.1093/jjfinex/nbu026> , Ando, T. and Bai, J. (2016) "Panel data models with grouped factor structure under unknown group membership" <doi: 10.1002/jae.2467>, Ando, T. and Bai, J. (2017) "Clustering huge number of financial time series: A panel data approach with high-dimensional predictors and factor structures" <doi: 10.1080/01621459.2016.1195743>, Ando, T. and Bai, J. (2020) "Quantile co-movement in financial markets" <doi: 10.1080/01621459.2018.1543598>, Ando, T., Bai, J. and Li, K. (2021) "Bayesian and maximum likelihood analysis of large-scale panel choice models with unobserved heterogeneity" <doi: 10.1016/j.jeconom.2020.11.013.>.

r-platformdesign 2.1.4
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=PlatformDesign
Licenses: GPL 3+
Build system: r
Synopsis: Optimal Two-Period Multiarm Platform Design with New Experimental Arms Added During the Trial
Description:

Design parameters of the optimal two-period multiarm platform design (controlling for either family-wise error rate or pair-wise error rate) can be calculated using this package, allowing pre-planned deferred arms to be added during the trial. More details about the design method can be found in the paper: Pan, H., Yuan, X. and Ye, J. (2022) "An optimal two-period multiarm platform design with new experimental arms added during the trial". Manuscript submitted for publication. For additional references: Dunnett, C. W. (1955) <doi:10.2307/2281208>.

r-persdx 0.5.0
Propagated dependencies: r-survivalroc@1.0.3.1 r-proc@1.19.0.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=persDx
Licenses: GPL 2+
Build system: r
Synopsis: Personalized Diagnostics Rules for Subgroup Identification and Personalized Biomarker Discovery
Description:

Tailoring the optimal biomarker(s) for disease screening or diagnosis based on subjects individual characteristics.

r-phsmethods 1.0.2
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-scales@1.4.0 r-rlang@1.1.6 r-readr@2.1.6 r-magrittr@2.0.4 r-lubridate@1.9.4 r-lifecycle@1.0.4 r-dplyr@1.1.4 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/Public-Health-Scotland/phsmethods
Licenses: GPL 2+
Build system: r
Synopsis: Standard Methods for Use in Public Health Scotland
Description:

This package provides a collection of methods for commonly undertaken analytical tasks, primarily developed for Public Health Scotland (PHS) analysts, but the package is also generally useful to others working in the healthcare space, particularly since it has functions for working with Community Health Index (CHI) numbers. The package can help to make data manipulation and analysis more efficient and reproducible.

r-pensim 1.3.6
Propagated dependencies: r-penalized@0.9-53 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://waldronlab.io/pensim/
Licenses: GPL 2+
Build system: r
Synopsis: Simulation of High-Dimensional Data and Parallelized Repeated Penalized Regression
Description:

Simulation of continuous, correlated high-dimensional data with time to event or binary response, and parallelized functions for Lasso, Ridge, and Elastic Net penalized regression with repeated starts and two-dimensional tuning of the Elastic Net.

r-phylotop 2.1.3
Propagated dependencies: r-phylobase@0.8.12 r-nhpoisson@3.4 r-igraph@2.2.1 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://michellekendall.github.io/phyloTop/
Licenses: GPL 2
Build system: r
Synopsis: Calculating Topological Properties of Phylogenies
Description:

This package provides tools for calculating and viewing topological properties of phylogenetic trees.

r-powdist 0.1.4
Propagated dependencies: r-rmutil@1.1.10 r-normalp@0.7.2.1 r-gamlss-dist@6.1-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=powdist
Licenses: GPL 3
Build system: r
Synopsis: Power and Reversal Power Distributions
Description:

Density, distribution function, quantile function and random generation for the family of power and reversal power distributions.

r-philipshue 1.0.0
Propagated dependencies: r-yaml@2.3.10 r-purrr@1.2.0 r-pkgload@1.4.1 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://fascinatingfingers.gitlab.io/philipshue
Licenses: GPL 3+
Build system: r
Synopsis: R Interface to the Philips Hue API
Description:

Control Philips Hue smart lighting. Use this package to connect to a Hue bridge on your local network (remote authentication not yet supported) and control your smart lights through the Philips Hue API. All API V1 endpoints are supported. See API documentation at <https://developers.meethue.com/>.

r-poismf 0.4.0-4
Propagated dependencies: r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/david-cortes/poismf
Licenses: FreeBSD
Build system: r
Synopsis: Factorization of Sparse Counts Matrices Through Poisson Likelihood
Description:

This package creates a non-negative low-rank approximate factorization of a sparse counts matrix by maximizing Poisson likelihood with L1/L2 regularization (e.g. for implicit-feedback recommender systems or bag-of-words-based topic modeling) (Cortes, (2018) <arXiv:1811.01908>), which usually leads to very sparse user and item factors (over 90% zero-valued). Similar to hierarchical Poisson factorization (HPF), but follows an optimization-based approach with regularization instead of a hierarchical prior, and is fit through gradient-based methods instead of variational inference.

r-phyr 1.1.3
Propagated dependencies: r-tidyr@1.3.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-nloptr@2.2.1 r-mvtnorm@1.3-3 r-matrix@1.7-4 r-lme4@1.1-37 r-latticeextra@0.6-31 r-gridextra@2.3 r-dplyr@1.1.4 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://daijiang.github.io/phyr/
Licenses: GPL 3
Build system: r
Synopsis: Model Based Phylogenetic Analysis
Description:

This package provides a collection of functions to do model-based phylogenetic analysis. It includes functions to calculate community phylogenetic diversity, to estimate correlations among functional traits while accounting for phylogenetic relationships, and to fit phylogenetic generalized linear mixed models. The Bayesian phylogenetic generalized linear mixed models are fitted with the INLA package (<https://www.r-inla.org>).

r-ph2mult 0.1.1
Propagated dependencies: r-clinfun@1.1.5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=ph2mult
Licenses: GPL 2+
Build system: r
Synopsis: Phase II Clinical Trial Design for Multinomial Endpoints
Description:

Provide multinomial design methods under intersection-union test (IUT) and union-intersection test (UIT) scheme for Phase II trial. The design types include : Minimax (minimize the maximum sample size), Optimal (minimize the expected sample size), Admissible (minimize the Bayesian risk) and Maxpower (maximize the exact power level).

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Total results: 69112