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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-preknitposthtmlrender 0.1.0
Propagated dependencies: r-xml@3.99-0.20 r-rmarkdown@2.30 r-knitr@1.50
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/chinsoon12/PreKnitPostHTMLRender
Licenses: GPL 2+ FSDG-compatible
Build system: r
Synopsis: Pre-Knitting Processing and Post HTML-Rendering Processing
Description:

Dynamize headers or R code within Rmd files to prevent proliferation of Rmd files for similar reports. Add in external HTML document within rmarkdown rendered HTML doc.

r-preprocess 3.1.9
Propagated dependencies: r-oompabase@3.2.10
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: http://oompa.r-forge.r-project.org/
Licenses: ASL 2.0
Build system: r
Synopsis: Basic Functions for Pre-Processing Microarrays
Description:

This package provides classes to pre-process microarray gene expression data as part of the OOMPA collection of packages described at <http://oompa.r-forge.r-project.org/>.

r-polished 0.8.1
Propagated dependencies: r-yaml@2.3.10 r-uuid@1.2-1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-shinywidgets@0.9.0 r-shinyjs@2.1.0 r-shinyfeedback@0.4.0 r-shinydashboard@0.7.3 r-shinycssloaders@1.1.0 r-shiny@1.11.1 r-rmarkdown@2.30 r-rlang@1.1.6 r-purrr@1.2.0 r-otp@0.1.1 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-jose@1.2.1 r-httr@1.4.7 r-htmltools@0.5.8.1 r-dt@0.34.0 r-dplyr@1.1.4 r-digest@0.6.39 r-desc@1.4.3 r-automagic@0.5.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/tychobra/polished
Licenses: Expat
Build system: r
Synopsis: Authentication and Hosting for 'shiny' Apps
Description:

Authentication, user administration, hosting, and additional infrastructure for shiny apps. See <https://polished.tech> for additional documentation and examples.

r-pgagev 0.1.0
Propagated dependencies: r-lambertw@0.6.9-2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PGaGEV
Licenses: GPL 3
Build system: r
Synopsis: Power Garima-Generalized Extreme Value Distribution
Description:

Density, distribution function, quantile function, and random generation function based on Kittipong Klinjan,Tipat Sottiwan and Sirinapa Aryuyuen (2024)<DOI:10.28919/cmbn/8833>.

r-propublicar 1.1.4
Propagated dependencies: r-stringr@1.6.0 r-lubridate@1.9.4 r-httr@1.4.7 r-dplyr@1.1.4 r-config@0.3.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=ProPublicaR
Licenses: GPL 3 FSDG-compatible
Build system: r
Synopsis: Access Functions for ProPublica's APIs
Description:

This package provides wrapper functions to access the ProPublica's Congress and Campaign Finance APIs. The Congress API provides near real-time access to legislative data from the House of Representatives, the Senate and the Library of Congress. The Campaign Finance API provides data from United States Federal Election Commission filings and other sources. The API covers summary information for candidates and committees, as well as certain types of itemized data. For more information about these APIs go to: <https://www.propublica.org/datastore/apis>.

r-pct 0.10.0
Propagated dependencies: r-stplanr@1.2.3 r-sf@1.0-23 r-readr@2.1.6 r-crul@1.6.0 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://itsleeds.github.io/pct/
Licenses: GPL 3
Build system: r
Synopsis: Propensity to Cycle Tool
Description:

This package provides functions and example data to teach and increase the reproducibility of the methods and code underlying the Propensity to Cycle Tool (PCT), a research project and web application hosted at <https://www.pct.bike/>. For an academic paper on the methods, see Lovelace et al (2017) <doi:10.5198/jtlu.2016.862>.

r-prettycols 1.1.0
Propagated dependencies: r-lifecycle@1.0.4 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://nrennie.rbind.io/PrettyCols/
Licenses: CC0
Build system: r
Synopsis: Pretty Colour Palettes
Description:

Defines aesthetically pleasing colour palettes.

r-pooledpeaks 1.2.2
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-rlang@1.1.6 r-qpdf@1.4.1 r-pdftools@3.6.0 r-magrittr@2.0.4 r-fragman@1.0.9 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://github.com/kmkuesters/pooledpeaks
Licenses: GPL 3+
Build system: r
Synopsis: Genetic Analysis of Pooled Samples
Description:

Analyzing genetic data obtained from pooled samples. This package can read in Fragment Analysis output files, process the data, and score peaks, as well as facilitate various analyses, including cluster analysis, calculation of genetic distances and diversity indices, as well as bootstrap resampling for statistical inference. Specifically tailored to handle genetic data efficiently, researchers can explore population structure, genetic differentiation, and genetic relatedness among samples. We updated some functions from Covarrubias-Pazaran et al. (2016) <doi:10.1186/s12863-016-0365-6> to allow for the use of new file formats and referenced the following to write our genetic analysis functions: Long et al. (2022) <doi:10.1038/s41598-022-04776-0>, Jost (2008) <doi:10.1111/j.1365-294x.2008.03887.x>, Nei (1973) <doi:10.1073/pnas.70.12.3321>, Foulley et al. (2006) <doi:10.1016/j.livprodsci.2005.10.021>, Chao et al. (2008) <doi:10.1111/j.1541-0420.2008.01010.x>.

r-prop-comb-rr 1.2
Propagated dependencies: r-rootsolve@1.8.2.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=prop.comb.RR
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Analyzing Combination of Proportions and Relative Risk
Description:

Carrying out inferences about any linear combination of proportions and the ratio of two proportions.

r-pairwiseci 0.1-27
Propagated dependencies: r-mcprofile@1.0-1 r-mcpan@1.1-21 r-mass@7.3-65 r-coin@1.4-3 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pairwiseCI
Licenses: GPL 2
Build system: r
Synopsis: Confidence Intervals for Two Sample Comparisons
Description:

Calculation of the parametric, nonparametric confidence intervals for the difference or ratio of location parameters, nonparametric confidence interval for the Behrens-Fisher problem and for the difference, ratio and odds-ratio of binomial proportions for comparison of independent samples. Common wrapper functions to split data sets and apply confidence intervals or tests to these subsets. A by-statement allows calculation of CI separately for the levels of further factors. CI are not adjusted for multiplicity.

r-powerest 0.1.2
Propagated dependencies: r-xgboost@1.7.11.1 r-scam@1.2-21 r-resample@0.6 r-magrittr@2.0.4 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=PoweREST
Licenses: Expat
Build system: r
Synopsis: Bootstrap-Based Power Estimation Tool for Spatial Transcriptomics
Description:

Power estimation and sample size calculation for 10X Visium Spatial Transcriptomics data to detect differential expressed genes between two conditions based on bootstrap resampling. See Shui et al. (2025) <doi:10.1371/journal.pcbi.1013293> for method details.

r-paramhetero 1.0.0
Propagated dependencies: r-mass@7.3-65 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=paramhetero
Licenses: GPL 3
Build system: r
Synopsis: Numeric and Visual Comparisons of Heterogeneity in Parametric Models
Description:

This package performs statistical tests to compare coefficients and residual variance across models. Also provides graphical methods for assessing heterogeneity in coefficients and residuals. Currently supports linear and generalized linear models.

r-postcard 1.1.0
Propagated dependencies: r-yardstick@1.3.2 r-xgboost@1.7.11.1 r-workflowsets@1.1.1 r-tune@2.0.1 r-stringr@1.6.0 r-scales@1.4.0 r-rsample@1.3.1 r-rlang@1.1.6 r-parsnip@1.3.3 r-options@0.3.1 r-ggplot2@4.0.1 r-gggrid@0.2-0 r-generics@0.1.4 r-earth@5.3.4 r-dplyr@1.1.4 r-deriv@4.2.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://novonordisk-opensource.github.io/postcard/
Licenses: Expat
Build system: r
Synopsis: Estimating Marginal Effects with Prognostic Covariate Adjustment
Description:

Conduct power analyses and inference of marginal effects. Uses plug-in estimation and influence functions to perform robust inference, optionally leveraging historical data to increase precision with prognostic covariate adjustment. The methods are described in Højbjerre-Frandsen et al. (2025) <doi:10.48550/arXiv.2503.22284>.

r-pubrplot 0.0.1
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-rstatix@0.7.3 r-rlang@1.1.6 r-purrr@1.2.0 r-ggthemes@5.1.0 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-broom@1.0.10
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pubrplot
Licenses: Expat
Build system: r
Synopsis: Publication-Ready Plots and Statistical Visualizations
Description:

This package provides functions to create high-quality, publication-ready plots for numeric and categorical data, including bar plots, violin plots, boxplots, line plots, error bars, correlation plots, linear model plots, odds ratio plots, and normality plots.

r-pemultinom 0.1.1
Propagated dependencies: r-rcpp@1.1.0 r-nnet@7.3-20 r-magrittr@2.0.4 r-lpsolve@5.6.23 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=pemultinom
Licenses: GPL 2
Build system: r
Synopsis: L1-Penalized Multinomial Regression with Statistical Inference
Description:

We aim for fitting a multinomial regression model with Lasso penalty and doing statistical inference (calculating confidence intervals of coefficients and p-values for individual variables). It implements 1) the coordinate descent algorithm to fit an l1-penalized multinomial regression model (parameterized with a reference level); 2) the debiasing approach to obtain the inference results, which is described in "Tian, Y., Rusinek, H., Masurkar, A. V., & Feng, Y. (2024). L1â Penalized Multinomial Regression: Estimation, Inference, and Prediction, With an Application to Risk Factor Identification for Different Dementia Subtypes. Statistics in Medicine, 43(30), 5711-5747.".

r-pgrdup 0.2.4.0
Propagated dependencies: r-stringi@1.8.7 r-stringdist@0.9.15 r-igraph@2.2.1 r-gridextra@2.3 r-ggplot2@4.0.1 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=PGRdup
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Discover Probable Duplicates in Plant Genetic Resources Collections
Description:

This package provides functions to aid the identification of probable/possible duplicates in Plant Genetic Resources (PGR) collections using passport databases comprising of information records of each constituent sample. These include methods for cleaning the data, creation of a searchable Key Word in Context (KWIC) index of keywords associated with sample records and the identification of nearly identical records with similar information by fuzzy, phonetic and semantic matching of keywords.

r-pspi 1.2
Propagated dependencies: r-stringr@1.6.0 r-rcppprogress@0.4.2 r-rcppdist@0.1.1.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-pg@0.2.4 r-nnet@7.3-20 r-mvtnorm@1.3-3 r-dplyr@1.1.4 r-arm@1.14-4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PSPI
Licenses: GPL 2
Build system: r
Synopsis: Propensity Score Predictive Inference for Generalizability
Description:

This package provides a suite of Propensity Score Predictive Inference (PSPI) methods to generalize treatment effects in trials to target populations. The package includes an existing model Bayesian Causal Forest (BCF) and four PSPI models (BCF-PS, FullBART, SplineBART, DSplineBART). These methods leverage Bayesian Additive Regression Trees (BART) to adjust for high-dimensional covariates and nonlinear associations, while SplineBART and DSplineBART further use propensity score based splines to address covariate shift between trial data and target population.

r-ptwikiwords 0.0.3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/dfalbel/ptwikiwords
Licenses: Expat
Build system: r
Synopsis: Words Used in Portuguese Wikipedia
Description:

This package contains a dataset of words used in 15.000 randomly extracted pages from the Portuguese Wikipedia (<https://pt.wikipedia.org/>).

r-poisbinom 1.0.2
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://cran.r-project.org/package=poisbinom
Licenses: GPL 2+
Build system: r
Synopsis: Faster Implementation of the Poisson-Binomial Distribution
Description:

This package provides the probability, distribution, and quantile functions and random number generator for the Poisson-Binomial distribution. This package relies on FFTW to implement the discrete Fourier transform, so that it is much faster than the existing implementation of the same algorithm in R.

r-plutor 0.1.0
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-scales@1.4.0 r-rlang@1.1.6 r-repr@1.1.7 r-rcolorbrewer@1.1-3 r-purrr@1.2.0 r-magrittr@2.0.4 r-ggsci@4.1.0 r-ggplot2@4.0.1 r-ggh4x@0.3.1 r-dplyr@1.1.4 r-cli@3.6.5 r-baizer@0.8.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/william-swl/plutor
Licenses: Expat
Build system: r
Synopsis: Useful Functions for Visualization
Description:

In ancient Roman mythology, Pluto was the ruler of the underworld and presides over the afterlife. Pluto was frequently conflated with Plutus', the god of wealth, because mineral wealth was found underground. When plotting with R, you try once, twice, practice again and again, and finally you get a pretty figure you want. It's a plot tour', a tour about repetition and reward. Hope plutor helps you on the tour!

r-pod 1.2.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=POD
Licenses: GPL 3
Build system: r
Synopsis: Probability of Detection for Qualitative PCR Methods
Description:

This tool computes the probability of detection (POD) curve and the limit of detection (LOD), i.e. the number of copies of the target DNA sequence required to ensure a 95 % probability of detection (LOD95). Other quantiles of the LOD can be specified. This is a reimplementation of the mathematical-statistical modelling of the validation of qualitative polymerase chain reaction (PCR) methods within a single laboratory as provided by the commercial tool PROLab <http://quodata.de/>. The modelling itself has been described by Uhlig et al. (2015) <doi:10.1007/s00769-015-1112-9>.

r-pop-lion 1.0.1
Propagated dependencies: r-testthat@3.3.0 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.lion
Licenses: GPL 3
Build system: r
Synopsis: Models for Simulating Lion Populations
Description:

Simulate the dynamic of lion populations using a specific Individual-Based Model (IBM) compiled in C.

r-poped 0.7.0
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-purrr@1.2.0 r-mvtnorm@1.3-3 r-mass@7.3-65 r-magrittr@2.0.4 r-gtools@3.9.5 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-codetools@0.2-20 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://andrewhooker.github.io/PopED/
Licenses: LGPL 3+
Build system: r
Synopsis: Population (and Individual) Optimal Experimental Design
Description:

Optimal experimental designs for both population and individual studies based on nonlinear mixed-effect models. Often this is based on a computation of the Fisher Information Matrix. This package was developed for pharmacometric problems, and examples and predefined models are available for these types of systems. The methods are described in Nyberg et al. (2012) <doi:10.1016/j.cmpb.2012.05.005>, and Foracchia et al. (2004) <doi:10.1016/S0169-2607(03)00073-7>.

r-predictionr 1.0-12
Propagated dependencies: r-renext@3.1-5 r-fitdistrplus@1.2-4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PredictionR
Licenses: GPL 2+
Build system: r
Synopsis: Prediction for Future Data from any Continuous Distribution
Description:

This package provides functions to get prediction intervals and prediction points of future observations from any continuous distribution.

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