_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
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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-plac 0.1.3
Propagated dependencies: r-survival@3.8-3 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/942kid/plac
Licenses: GPL 3+
Build system: r
Synopsis: Pairwise Likelihood Augmented Cox Estimator for Left-Truncated Data
Description:

This package provides a semi-parametric estimation method for the Cox model with left-truncated data using augmented information from the marginal of truncation times.

r-pcds-ugraph 0.1.1
Propagated dependencies: r-rdpack@2.6.4 r-pcds@0.1.8 r-interp@1.1-6
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pcds.ugraph
Licenses: GPL 2
Build system: r
Synopsis: Underlying Graphs of Proximity Catch Digraphs and Their Applications
Description:

This package contains the functions for construction and visualization of underlying and reflexivity graphs of the three families of the proximity catch digraphs (PCDs), see (Ceyhan (2005) ISBN:978-3-639-19063-2), and for computing the edge density of these PCD-based graphs which are then used for testing the patterns of segregation and association against complete spatial randomness (CSR)) or uniformity in one and two dimensional cases. The PCD families considered are Arc-Slice PCDs, Proportional-Edge (PE) PCDs (Ceyhan et al. (2006) <doi:10.1016/j.csda.2005.03.002>) and Central Similarity PCDs (Ceyhan et al. (2007) <doi:10.1002/cjs.5550350106>). See also (Ceyhan (2016) <doi:10.1016/j.stamet.2016.07.003>) for edge density of the underlying and reflexivity graphs of PE-PCDs. The package also has tools for visualization of PCD-based graphs for one, two, and three dimensional data.

r-pathfindr-data 2.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/egeulgen/pathfindR.data
Licenses: Expat
Build system: r
Synopsis: Data Package for 'pathfindR'
Description:

This is a data-only package, containing data needed to run the CRAN package pathfindR', a package for enrichment analysis utilizing active subnetworks. This package contains protein-protein interaction network data, data related to gene sets and example input/output data.

r-prioritizr 8.1.0
Propagated dependencies: r-withr@3.0.2 r-units@1.0-0 r-tibble@3.3.0 r-terra@1.8-86 r-sf@1.0-23 r-rlang@1.1.6 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-raster@3.6-32 r-r6@2.6.1 r-matrix@1.7-4 r-magrittr@2.0.4 r-igraph@2.2.1 r-exactextractr@0.10.0 r-cli@3.6.5 r-bh@1.87.0-1 r-assertthat@0.2.1 r-ape@5.8-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://prioritizr.net
Licenses: GPL 3
Build system: r
Synopsis: Systematic Conservation Prioritization in R
Description:

Systematic conservation prioritization using mixed integer linear programming (MILP). It provides a flexible interface for building and solving conservation planning problems. Once built, conservation planning problems can be solved using a variety of commercial and open-source exact algorithm solvers. By using exact algorithm solvers, solutions can be generated that are guaranteed to be optimal (or within a pre-specified optimality gap). Furthermore, conservation problems can be constructed to optimize the spatial allocation of different management actions or zones, meaning that conservation practitioners can identify solutions that benefit multiple stakeholders. To solve large-scale or complex conservation planning problems, users should install the Gurobi optimization software (available from <https://www.gurobi.com/>) and the gurobi R package (see Gurobi Installation Guide vignette for details). Users can also install the IBM CPLEX software (<https://www.ibm.com/products/ilog-cplex-optimization-studio/cplex-optimizer>) and the cplexAPI R package (available at <https://github.com/cran/cplexAPI>). Additionally, the rcbc R package (available at <https://github.com/dirkschumacher/rcbc>) can be used to generate solutions using the CBC optimization software (<https://github.com/coin-or/Cbc>). For further details, see Hanson et al. (2025) <doi:10.1111/cobi.14376>.

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-parqr 0.1.0
Propagated dependencies: r-purrr@1.2.0 r-magrittr@2.0.4 r-arrow@22.0.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/jhnwllr/parqr
Licenses: CC0
Build system: r
Synopsis: Read in Multi-Part Parquet Files
Description:

Reads in multi-part parquet files. Will read in parquet files that have not been previously coalesced into one file. Convenient for reading in moderately sized, but split files.

r-portion 0.1.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/loelschlaeger/portion
Licenses: GPL 3+
Build system: r
Synopsis: Extracting a Data Portion
Description:

This package provides simple methods to extract data portions from various objects. The relative portion size and the way the portion is selected can be chosen.

r-plink 1.5-1
Propagated dependencies: r-statmod@1.5.1 r-mass@7.3-65 r-lattice@0.22-7
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=plink
Licenses: GPL 2+
Build system: r
Synopsis: IRT Separate Calibration Linking Methods
Description:

Item response theory based methods are used to compute linking constants and conduct chain linking of unidimensional or multidimensional tests for multiple groups under a common item design. The unidimensional methods include the Mean/Mean, Mean/Sigma, Haebara, and Stocking-Lord methods for dichotomous (1PL, 2PL and 3PL) and/or polytomous (graded response, partial credit/generalized partial credit, nominal, and multiple-choice model) items. The multidimensional methods include the least squares method and extensions of the Haebara and Stocking-Lord method using single or multiple dilation parameters for multidimensional extensions of all the unidimensional dichotomous and polytomous item response models. The package also includes functions for importing item and/or ability parameters from common IRT software, conducting IRT true score and observed score equating, and plotting item response curves/surfaces, vector plots, information plots, and comparison plots for examining parameter drift.

r-pencoxfrail 2.0.1
Propagated dependencies: r-survival@3.8-3 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrix@1.7-4 r-coxme@2.2-22
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PenCoxFrail
Licenses: GPL 2+
Build system: r
Synopsis: Regularization in Cox Frailty Models
Description:

Different regularization approaches for Cox Frailty Models by penalization methods are provided. see Groll et al. (2017) <doi:10.1111/biom.12637> for effects selection. See also Groll and Hohberg (2024) <doi:10.1002/bimj.202300020> for classical LASSO approach.

r-polite 0.1.3
Propagated dependencies: r-usethis@3.2.1 r-rvest@1.0.5 r-robotstxt@0.7.15 r-ratelimitr@0.4.2 r-memoise@2.0.1 r-magrittr@2.0.4 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/dmi3kno/polite
Licenses: Expat
Build system: r
Synopsis: Be Nice on the Web
Description:

Be responsible when scraping data from websites by following polite principles: introduce yourself, ask for permission, take slowly and never ask twice.

r-paireddata 1.1.1
Propagated dependencies: r-mvtnorm@1.3-3 r-mass@7.3-65 r-lattice@0.22-7 r-gld@2.6.8 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=PairedData
Licenses: GPL 2+
Build system: r
Synopsis: Paired Data Analysis
Description:

Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis tests are provided for analysing paired data with S4 class.

r-pseudobiber 1.2
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-quanteda-textstats@0.97.2 r-quanteda@4.3.1 r-purrr@1.2.0 r-magrittr@2.0.4 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=pseudobibeR
Licenses: Expat
Build system: r
Synopsis: Aggregate Counts of Linguistic Features
Description:

Calculates the lexicogrammatical and functional features described by Biber (1985) <doi:10.1515/ling.1985.23.2.337> and widely used for text-type, register, and genre classification tasks.

r-phylometrics 0.0.1
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=phylometrics
Licenses: GPL 2+
Build system: r
Synopsis: Estimating Statistical Errors of Phylogenetic Metrics
Description:

This package provides functions to estimate statistical errors of phylogenetic metrics particularly to detect binary trait influence on diversification, as well as a function to simulate trees with fixed number of sampled taxa and trait prevalence.

r-proporz 1.5.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://polettif.github.io/proporz/
Licenses: GPL 3+
Build system: r
Synopsis: Proportional Apportionment
Description:

Calculate seat apportionment for legislative bodies with various methods. The algorithms include divisor or highest averages methods (e.g. Jefferson, Webster or Adams), largest remainder methods and biproportional apportionment. Gaffke, N. & Pukelsheim, F. (2008) <doi:10.1016/j.mathsocsci.2008.01.004> Oelbermann, K. F. (2016) <doi:10.1016/j.mathsocsci.2016.02.003>.

r-plsrcox 1.8.0
Propagated dependencies: r-survival@3.8-3 r-survcomp@1.60.0 r-survauc@1.4-0 r-rms@8.1-0 r-risksetroc@1.0.4.1 r-plsrglm@1.6.0 r-pls@2.8-5 r-mixomics@6.34.0 r-lars@1.3 r-kernlab@0.9-33
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://fbertran.github.io/plsRcox/
Licenses: GPL 3
Build system: r
Synopsis: Partial Least Squares Regression for Cox Models and Related Techniques
Description:

This package provides Partial least squares Regression and various regular, sparse or kernel, techniques for fitting Cox models in high dimensional settings <doi:10.1093/bioinformatics/btu660>, Bastien, P., Bertrand, F., Meyer N., Maumy-Bertrand, M. (2015), Deviance residuals-based sparse PLS and sparse kernel PLS regression for censored data, Bioinformatics, 31(3):397-404. Cross validation criteria were studied in <doi:10.48550/arXiv.1810.02962>, Bertrand, F., Bastien, Ph. and Maumy-Bertrand, M. (2018), Cross validating extensions of kernel, sparse or regular partial least squares regression models to censored data.

r-palr 0.4.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/AustralianAntarcticDivision/palr
Licenses: GPL 3
Build system: r
Synopsis: Colour Palettes for Data
Description:

Colour palettes for data, based on some well known public data sets. Includes helper functions to map absolute values to known palettes, and capture the work of image colour mapping as raster data sets.

r-patterns 1.7
Propagated dependencies: r-wgcna@1.73 r-vgam@1.1-13 r-tnet@3.0.16 r-selectboost@2.3.0 r-plotrix@3.8-13 r-nnls@1.6 r-movmf@0.2-9 r-mfuzz@2.70.0 r-limma@3.66.0 r-lattice@0.22-7 r-lars@1.3 r-igraph@2.2.1 r-gplots@3.2.0 r-e1071@1.7-16 r-cluster@2.1.8.1 r-abind@1.4-8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://fbertran.github.io/Patterns/
Licenses: GPL 2+
Build system: r
Synopsis: Deciphering Biological Networks with Patterned Heterogeneous Measurements
Description:

This package provides a modeling tool dedicated to biological network modeling (Bertrand and others 2020, <doi:10.1093/bioinformatics/btaa855>). It allows for single or joint modeling of, for instance, genes and proteins. It starts with the selection of the actors that will be the used in the reverse engineering upcoming step. An actor can be included in that selection based on its differential measurement (for instance gene expression or protein abundance) or on its time course profile. Wrappers for actors clustering functions and cluster analysis are provided. It also allows reverse engineering of biological networks taking into account the observed time course patterns of the actors. Many inference functions are provided and dedicated to get specific features for the inferred network such as sparsity, robust links, high confidence links or stable through resampling links. Some simulation and prediction tools are also available for cascade networks (Jung and others 2014, <doi:10.1093/bioinformatics/btt705>). Example of use with microarray or RNA-Seq data are provided.

r-pasensewear 1.0
Propagated dependencies: 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=PASenseWear
Licenses: GPL 2
Build system: r
Synopsis: Summarize Daily Physical Activity from 'SenseWear' Accelerometer Data
Description:

Provide summary table of daily physical activity and per-person/grouped heat map for accelerometer data from SenseWear Armband. See <https://templehealthcare.wordpress.com/the-sensewear-armband/> for more information about SenseWear Armband.

r-pnd 0.1.1
Propagated dependencies: r-rdpack@2.6.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/Fifis/pnd
Licenses: FSDG-compatible
Build system: r
Synopsis: Parallel Numerical Derivatives, Gradients, Jacobians, and Hessians of Arbitrary Accuracy Order
Description:

Numerical derivatives through finite-difference approximations can be calculated using the pnd package with parallel capabilities and optimal step-size selection to improve accuracy. These functions facilitate efficient computation of derivatives, gradients, Jacobians, and Hessians, allowing for more evaluations to reduce the mathematical and machine errors. Designed for compatibility with the numDeriv package, which has not received updates in several years, it introduces advanced features such as computing derivatives of arbitrary order, improving the accuracy of Hessian approximations by avoiding repeated differencing, and parallelising slow functions on Windows, Mac, and Linux.

r-peramo 0.1.5
Propagated dependencies: r-parameters@0.28.3 r-magrittr@2.0.4 r-lme4@1.1-37 r-emmeans@2.0.0 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=peramo
Licenses: GPL 3
Build system: r
Synopsis: Permutation Tests for Randomization Model
Description:

Perform permutation-based hypothesis testing for randomized experiments as suggested in Ludbrook & Dudley (1998) <doi:10.2307/2685470> and Ernst (2004) <doi:10.1214/088342304000000396>, introduced in Pham et al. (2022) <doi:10.1016/j.chemosphere.2022.136736>.

r-prepdesigns 1.2.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pRepDesigns
Licenses: GPL 2+
Build system: r
Synopsis: Partially Replicated (p-Rep) Designs
Description:

Early generation breeding trials are to be conducted in multiple environments where it may not be possible to replicate all the lines in each environment due to scarcity of resources. For such situations, partially replicated (p-Rep) designs have wide application potential as only a proportion of the test lines are replicated at each environment. A collection of several utility functions related to p-Rep designs have been developed. Here, the package contains six functions for a complete stepwise analytical study of these designs. Five functions pRep1(), pRep2(), pRep3(), pRep4() and pRep5(), are used to generate five new series of p-Rep designs and also compute average variance factors and canonical efficiency factors of generated designs. A fourth function NCEV() is used to generate incidence matrix (N), information matrix (C), canonical efficiency factor (E) and average variance factor (V). This function is general in nature and can be used for studying the characterization properties of any block design. A construction procedure for p-Rep designs was given by Williams et al.(2011) <doi:10.1002/bimj.201000102> which was tedious and time consuming. Here, in this package, five different methods have been given to generate p-Rep designs easily.

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-pervasive 1.0
Propagated dependencies: r-tibble@3.3.0 r-psych@2.5.6 r-dplyr@1.1.4 r-arules@1.7-11
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pervasive
Licenses: Expat
Build system: r
Synopsis: Pervasiveness Functions for Correlational Data
Description:

Analysis of pervasiveness of effects in correlational data. The Observed Proportion (or Percentage) of Concordant Pairs (OPCP) is Kendall's Tau expressed on a 0 to 1 metric instead of the traditional -1 to 1 metric to facilitate interpretation. As its name implies, it represents the proportion of concordant pairs in a sample (with an adjustment for ties). Pairs are concordant when a participant who has a larger value on a variable than another participant also has a larger value on a second variable. The OPCP is therefore an easily interpretable indicator of monotonicity. The pervasive functions are essentially wrappers for the arules package by Hahsler et al. (2025)<doi:10.32614/CRAN.package.arules> and serve to count individuals who actually display the pattern(s) suggested by a regression. For more details, see the paper "Considering approaches to pervasiveness in the context of personality psychology" now accepted at the journal Personality Science.

r-pez 1.2-5
Propagated dependencies: r-vegan@2.7-2 r-quantreg@6.1 r-picante@1.8.2 r-phytools@2.5-2 r-mvtnorm@1.3-3 r-matrix@1.7-4 r-fd@1.0-12.3 r-caper@1.0.4 r-ape@5.8-1 r-animation@2.8 r-ade4@1.7-23
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pez
Licenses: GPL 3
Build system: r
Synopsis: Phylogenetics for the Environmental Sciences
Description:

Eco-phylogenetic and community phylogenetic analyses. Keeps community ecological and phylogenetic data matched up and comparable using comparative.comm objects. Wrappers for common community phylogenetic indices ('pez.shape', pez.evenness', pez.dispersion', and pez.dissimilarity metrics). Implementation of Cavender-Bares (2004) correlation of phylogenetic and ecological matrices ('fingerprint.regression'). Phylogenetic Generalised Linear Mixed Models (PGLMMs; pglmm') following Ives & Helmus (2011) and Rafferty & Ives (2013). Simulation of null assemblages, traits, and phylogenies ('scape', sim.meta.comm').

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