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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-pedalfast-data 1.0.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pedalfast.data
Licenses: GPL 2
Build system: r
Synopsis: PEDALFAST Data
Description:

Data files and documentation for PEDiatric vALidation oF vAriableS in TBI (PEDALFAST). The data was used in "Functional Status Scale in Children With Traumatic Brain Injury: A Prospective Cohort Study" by Bennett, Dixon, et al (2016) <doi:10.1097/PCC.0000000000000934>.

r-polimetrics 1.2.1.14
Propagated dependencies: r-tidyverse@2.0.0 r-stringr@1.6.0 r-rstatix@0.7.3 r-rlang@1.1.6 r-purrr@1.2.0 r-mass@7.3-65 r-gplots@3.2.0 r-ggplot2@4.0.1 r-formula-tools@1.7.1 r-dplyr@1.1.4 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=polimetrics
Licenses: GPL 3
Build system: r
Synopsis: R Tools for Political Measures
Description:

This is a collection of data and functions for common metrics in political science research. Data measuring ideology, and functions calculating geographical diffusion and ideological diffusion - geog.diffuse() and ideo.dist(), respectively. Functions derived from methods developed in: Soule and King (2006) <doi:10.1086/499908>, Berry et al. (1998) <doi:10.2307/2991759>, Cruz-Aceves and Mallinson (2019) <doi:10.1177/0160323X20902818>, and Grossback et al. (2004) <doi:10.1177/1532673X04263801>.

r-polypharmacy 1.0.0
Propagated dependencies: r-stringr@1.6.0 r-lubridate@1.9.4 r-itertools@0.1-3 r-foreach@1.5.2 r-doparallel@1.0.17 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=polypharmacy
Licenses: Expat
Build system: r
Synopsis: Calculate Several Polypharmacy Indicators
Description:

Analyse prescription drug deliveries to calculate several indicators of polypharmacy corresponding to the various definitions found in the literature. Bjerrum, L., Rosholm, J. U., Hallas, J., & Kragstrup, J. (1997) <doi:10.1007/s002280050329>. Chan, D.-C., Hao, Y.-T., & Wu, S.-C. (2009a) <doi:10.1002/pds.1712>. Fincke, B. G., Snyder, K., Cantillon, C., Gaehde, S., Standring, P., Fiore, L., ... Gagnon, D.R. (2005) <doi:10.1002/pds.966>. Hovstadius, B., Astrand, B., & Petersson, G. (2009) <doi:10.1186/1472-6904-9-11>. Hovstadius, B., Astrand, B., & Petersson, G. (2010) <doi:10.1002/pds.1921>. Kennerfalk, A., Ruigómez, A., Wallander, M.-A., Wilhelmsen, L., & Johansson, S. (2002) <doi:10.1345/aph.1A226>. Masnoon, N., Shakib, S., Kalisch-Ellett, L., & Caughey, G. E. (2017) <doi:10.1186/s12877-017-0621-2>. Narayan, S. W., & Nishtala, P. S. (2015) <doi:10.1007/s40801-015-0020-y>. Nishtala, P. S., & Salahudeen, M. S. (2015) <doi:10.1159/000368191>. Park, H. Y., Ryu, H. N., Shim, M. K., Sohn, H. S., & Kwon, J. W. (2016) <doi:10.5414/cp202484>. Veehof, L., Stewart, R., Haaijer-Ruskamp, F., & Jong, B. M. (2000) <doi:10.1093/fampra/17.3.261>.

r-pk 1.3-6
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PK
Licenses: GPL 2
Build system: r
Synopsis: Basic Non-Compartmental Pharmacokinetics
Description:

Estimation of pharmacokinetic parameters using non-compartmental theory.

r-plreg 0.4.1
Propagated dependencies: r-zipfr@0.6-70 r-vgam@1.1-13 r-nleqslv@3.3.5 r-generalizedhyperbolic@0.8-7 r-gamlss-dist@6.1-1 r-formula@1.2-5 r-envstats@3.1.0 r-bbmisc@1.13
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/ffqueiroz/PLreg
Licenses: GPL 3+
Build system: r
Synopsis: Power Logit Regression for Modeling Bounded Data
Description:

Power logit regression models for bounded continuous data, in which the density generator may be normal, Student-t, power exponential, slash, hyperbolic, sinh-normal, or type II logistic. Diagnostic tools associated with the fitted model, such as the residuals, local influence measures, leverage measures, and goodness-of-fit statistics, are implemented. The estimation process follows the maximum likelihood approach and, currently, the package supports two types of estimators: the usual maximum likelihood estimator and the penalized maximum likelihood estimator. More details about power logit regression models are described in Queiroz and Ferrari (2022) <arXiv:2202.01697>.

r-pharmaverseadam 1.3.0
Propagated dependencies: r-tibble@3.3.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://pharmaverse.github.io/pharmaverseadam/
Licenses: FSDG-compatible
Build system: r
Synopsis: ADaM Test Data for the 'Pharmaverse' Family of Packages
Description:

This package provides a set of Analysis Data Model (ADaM) datasets constructed using the Study Data Tabulation Model (SDTM) datasets contained in the pharmaversesdtm package and the template scripts from the admiral family of packages. ADaM dataset specifications are described in the CDISC ADaM implementation guide, accessible by creating a free account on <https://www.cdisc.org/>.

r-plsdof 0.4-0
Propagated dependencies: r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/fbertran/plsdof/
Licenses: GPL 2+
Build system: r
Synopsis: Degrees of Freedom and Statistical Inference for Partial Least Squares Regression
Description:

The plsdof package provides Degrees of Freedom estimates for Partial Least Squares (PLS) Regression. Model selection for PLS is based on various information criteria (aic, bic, gmdl) or on cross-validation. Estimates for the mean and covariance of the PLS regression coefficients are available. They allow the construction of approximate confidence intervals and the application of test procedures (Kramer and Sugiyama 2012 <doi:10.1198/jasa.2011.tm10107>). Further, cross-validation procedures for Ridge Regression and Principal Components Regression are available.

r-pbiparams 0.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pbiparams
Licenses: Expat
Build system: r
Synopsis: Safe Parameter Extraction for Power BI R Scripts
Description:

Safely extracts and coerces values from a Power BI parameter table (one row, multiple columns) without string concatenation or injection of raw values into scripts.

r-poisbinnonnor 1.3.3
Propagated dependencies: r-mvtnorm@1.3-3 r-matrix@1.7-4 r-corpcor@1.6.10 r-bb@2019.10-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PoisBinNonNor
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Data Generation with Poisson, Binary and Continuous Components
Description:

Generation of multiple count, binary and continuous variables simultaneously given the marginal characteristics and association structure. Throughout the package, the word Poisson is used to imply count data under the assumption of Poisson distribution. The details of the method are explained in Amatya et al. (2015) <DOI:10.1080/00949655.2014.953534>.

r-pdcor 1.2
Propagated dependencies: r-rfast2@0.1.5.6 r-rfast@2.1.5.2 r-dcov@0.1.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pdcor
Licenses: GPL 2+
Build system: r
Synopsis: Fast and Light-Weight Partial Distance Correlation
Description:

Fast and memory-less computation of the partial distance correlation for vectors and matrices. Permutation-based and asymptotic hypothesis testing for zero partial distance correlation are also performed. References include: Szekely G. J. and Rizzo M. L. (2014). "Partial distance correlation with methods for dissimilarities". The Annals Statistics, 42(6): 2382--2412. <doi:10.1214/14-AOS1255>. Shen C., Panda S. and Vogelstein J. T. (2022). "The Chi-Square Test of Distance Correlation". Journal of Computational and Graphical Statistics, 31(1): 254--262. <doi:10.1080/10618600.2021.1938585>. Szekely G. J. and Rizzo M. L. (2023). "The Energy of Data and Distance Correlation". Chapman and Hall/CRC. <ISBN:9781482242744>. Kontemeniotis N., Vargiakakis R. and Tsagris M. (2025). On independence testing using the (partial) distance correlation. <doi:10.48550/arXiv.2506.15659>.

r-pagenum 1.3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://kwstat.github.io/pagenum/
Licenses: Expat
Build system: r
Synopsis: Put Page Numbers on Graphics
Description:

This package provides a simple way to add page numbers to base/ggplot/lattice graphics.

r-pomp 6.4
Propagated dependencies: r-mvtnorm@1.3-3 r-digest@0.6.39 r-desolve@1.40 r-data-table@1.17.8 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://kingaa.github.io/pomp/
Licenses: GPL 3
Build system: r
Synopsis: Statistical Inference for Partially Observed Markov Processes
Description:

This package provides tools for data analysis with partially observed Markov process (POMP) models (also known as stochastic dynamical systems, hidden Markov models, and nonlinear, non-Gaussian, state-space models). The package provides facilities for implementing POMP models, simulating them, and fitting them to time series data by a variety of frequentist and Bayesian methods. It is also a versatile platform for implementation of inference methods for general POMP models.

r-pmlbr 0.3.0
Propagated dependencies: r-fnn@1.1.4.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/EpistasisLab/pmlbr
Licenses: GPL 2 FSDG-compatible
Build system: r
Synopsis: Interface to the Penn Machine Learning Benchmarks Data Repository
Description:

Check available classification and regression data sets from the PMLB repository and download them. The PMLB repository (<https://github.com/EpistasisLab/pmlbr>) contains a curated collection of data sets for evaluating and comparing machine learning algorithms. These data sets cover a range of applications, and include binary/multi-class classification problems and regression problems, as well as combinations of categorical, ordinal, and continuous features. There are currently over 150 datasets included in the PMLB repository.

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-pldamixture 0.1.1
Propagated dependencies: r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/bpriy/pldamixture
Licenses: GPL 2
Build system: r
Synopsis: Post-Linkage Data Analysis Based on Mixture Modelling
Description:

Perform inference in the secondary analysis setting with linked data potentially containing mismatch errors. Only the linked data file may be accessible and information about the record linkage process may be limited or unavailable. Implements the General Framework for Regression with Mismatched Data developed by Slawski et al. (2023) <doi:10.48550/arXiv.2306.00909>. The framework uses a mixture model for pairs of linked records whose two components reflect distributions conditional on match status, i.e., correct match or mismatch. Inference is based on composite likelihood and the Expectation-Maximization (EM) algorithm. The package currently supports Cox Proportional Hazards Regression (right-censored data only) and Generalized Linear Regression Models (Gaussian, Gamma, Poisson, and Logistic (binary models only)). Information about the underlying record linkage process can be incorporated into the method if available (e.g., assumed overall mismatch rate, safe matches, predictors of match status, or predicted probabilities of correct matches).

r-predint 2.3.0
Propagated dependencies: r-mass@7.3-65 r-lme4@1.1-37 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/MaxMenssen/predint
Licenses: GPL 2+
Build system: r
Synopsis: Prediction Intervals
Description:

An implementation of prediction intervals for overdispersed count data, for overdispersed binomial data and for linear random effects models.

r-poly4at 1.0.2
Propagated dependencies: r-shinydashboard@0.7.3 r-shiny@1.11.1 r-sf@1.0-23 r-readxl@1.4.5 r-leaflet@2.2.3 r-jsonlite@2.0.0 r-httr@1.4.7 r-geojsonsf@2.0.5 r-dt@0.34.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/farmse988/Poly4AT
Licenses: Expat
Build system: r
Synopsis: Access 'INVEKOS' API for Field Polygons
Description:

This package provides a shiny app that allows to access and use the INVEKOS API for field polygons in Austria. API documentation is available at <https://gis.lfrz.gv.at/api/geodata/i009501/ogc/features/v1/>.

r-poseticdataanalysis 1.0.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=poseticDataAnalysis
Licenses: GPL 2+
Build system: r
Synopsis: Posetic Data Analysis
Description:

Build and manipulate partially ordered sets (posets), to perform some data analysis on them and to implement multi-criteria decision making procedures. Several efficient ways for generating linear extensions are implemented, together with functions for building mutual ranking probabilities, incomparability, dominance and separation scores (Fattore, M., De Capitani, L., Avellone, A., Suardi, A. (2024). A fuzzy posetic toolbox for multi-criteria evaluation on ordinal data systems. ANNALS OF OPERATIONS RESEARCH <doi:10.1007/s10479-024-06352-3>).

r-procdata 0.3.2
Dependencies: python@3.11.14
Propagated dependencies: r-rcpp@1.1.0 r-keras@2.16.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=ProcData
Licenses: GPL 2+
Build system: r
Synopsis: Process Data Analysis
Description:

This package provides tools for exploratory process data analysis. Process data refers to the data describing participants problem-solving processes in computer-based assessments. It is often recorded in computer log files. This package provides functions to read, process, and write process data. It also implements two feature extraction methods to compress the information stored in process data into standard numerical vectors. This package also provides recurrent neural network based models that relate response processes with other binary or scale variables of interest. The functions that involve training and evaluating neural networks are wrappers of functions in keras'.

r-pkconverter 1.5
Propagated dependencies: r-shinythemes@1.2.0 r-shinydashboard@0.7.3 r-shiny@1.11.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PKconverter
Licenses: GPL 2+
Build system: r
Synopsis: The Parameter Converter of the Pharmacokinetic Models
Description:

Pharmacokinetics is the study of drug absorption, distribution, metabolism, and excretion. The pharmacokinetics model explains that how the drug concentration change as the drug moves through the different compartments of the body. For pharmacokinetic modeling and analysis, it is essential to understand the basic pharmacokinetic parameters. All parameters are considered, but only some of parameters are used in the model. Therefore, we need to convert the estimated parameters to the other parameters after fitting the specific pharmacokinetic model. This package is developed to help this converting work. For more detailed explanation of pharmacokinetic parameters, see "Gabrielsson and Weiner" (2007), "ISBN-10: 9197651001"; "Benet and Zia-Amirhosseini" (1995) <DOI: 10.1177/019262339502300203>; "Mould and Upton" (2012) <DOI: 10.1038/psp.2012.4>; "Mould and Upton" (2013) <DOI: 10.1038/psp.2013.14>.

r-polyaaeppli 2.0.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=polyaAeppli
Licenses: GPL 2+
Build system: r
Synopsis: Implementation of the Polya-Aeppli Distribution
Description:

This package provides functions for evaluating the mass density, cumulative distribution function, quantile function and random variate generation for the Polya-Aeppli distribution, also known as the geometric compound Poisson distribution. More information on the implementation can be found at Conrad J. Burden (2014) <arXiv:1406.2780>.

r-peiman2 1.0.2
Propagated dependencies: r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-lifecycle@1.0.4 r-glue@1.8.0 r-ggplot2@4.0.1 r-forcats@1.0.1 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=PEIMAN2
Licenses: GPL 3+
Build system: r
Synopsis: Post-Translational Modification Enrichment, Integration, and Matching Analysis
Description:

This package provides functions and mined database from UniProt focusing on post-translational modifications to do single enrichment analysis (SEA) and protein set enrichment analysis (PSEA). Payman Nickchi, Uladzislau Vadadokhau, Mehdi Mirzaie, Marc Baumann, Amir Ata Saei, Mohieddin Jafari (2025) <doi:10.1002/pmic.202400238>.

r-pump 1.0.4
Propagated dependencies: r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-readr@2.1.6 r-randomizr@1.0.0 r-purrr@1.2.0 r-mvtnorm@1.3-3 r-magrittr@2.0.4 r-lme4@1.1-37 r-glue@1.8.0 r-ggthemes@5.1.0 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-future@1.68.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/MDRCNY/PUMP
Licenses: GPL 3
Build system: r
Synopsis: Power Under Multiplicity Project
Description:

Estimates power, minimum detectable effect size (MDES) and sample size requirements. The context is multilevel randomized experiments with multiple outcomes. The estimation takes into account the use of multiple testing procedures. Development of this package was supported by a grant from the Institute of Education Sciences (R305D170030). For a full package description, including a detailed technical appendix, see <doi:10.18637/jss.v108.i06>.

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>.

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