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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-psim 0.1.0
Propagated dependencies: r-tidyverse@2.0.0 r-matrixstats@1.5.0 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://github.com/luana1909/PSIM
Licenses: GPL 3
Build system: r
Synopsis: Preference Selection Index Method (PSIM)
Description:

The Preference Selection Index Method was created in (2010) and provides an innovative approach to determining the relative importance of criteria without pairwise comparisons, unlike the Analytic Hierarchy Process. The Preference Selection Index Method uses statistical methods to calculate the criteria weights and reflects their relative importance in the final decision-making process, offering an objective and non-subjective solution. This method is beneficial in multi-criteria decision analysis. The PSIM package provides a practical and accessible tool for implementing the Preference Selection Index Method in R. It calculates the weights of criteria and makes the method available to researchers, analysts, and professionals without the need to develop complex calculations manually. More details about the Preference Selection Index Method can be found in Maniya K. and Bhatt M. G.(2010) <doi:10.1016/j.matdes.2009.11.020>.

r-psd 2.1.2
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-rcolorbrewer@1.1-3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/abarbour/psd
Licenses: GPL 2+
Build system: r
Synopsis: Adaptive, Sine-Multitaper Power Spectral Density and Cross Spectrum Estimation
Description:

This package produces power spectral density estimates through iterative refinement of the optimal number of sine-tapers at each frequency. This optimization procedure is based on the method of Riedel and Sidorenko (1995), which minimizes the Mean Square Error (sum of variance and bias) at each frequency, but modified for computational stability. The same procedure can now be used to calculate the cross spectrum (multivariate analyses).

r-posi 1.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PoSI
Licenses: GPL 3
Build system: r
Synopsis: Valid Post-Selection Inference for Linear LS Regression
Description:

In linear LS regression, calculate for a given design matrix the multiplier K of coefficient standard errors such that the confidence intervals [b - K*SE(b), b + K*SE(b)] have a guaranteed coverage probability for all coefficient estimates b in any submodels after performing arbitrary model selection.

r-packagefinder 0.3.5
Propagated dependencies: r-tidyr@1.3.1 r-textutils@0.4-3 r-stringr@1.6.0 r-shinyjs@2.1.0 r-shinybusy@0.3.3 r-shiny@1.11.1 r-reactable@0.4.5 r-pander@0.6.6 r-lubridate@1.9.4 r-jsonlite@2.0.0 r-httr@1.4.7 r-htmltable@2.4.3 r-formattable@0.2.1 r-crayon@1.5.3 r-clipr@0.8.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/jsugarelli/packagefinder/
Licenses: GPL 3
Build system: r
Synopsis: Comfortable Search for R Packages on CRAN, Either Directly from the R Console or with an R Studio Add-in
Description:

Search for R packages on CRAN directly from the R console, based on the packages titles, short and long descriptions, or other fields. Combine multiple keywords with logical operators ('and', or'), view detailed information on any package and keep track of the latest package contributions to CRAN. If you don't want to search from the R console, use the comfortable R Studio add-in.

r-pottsutils 0.3-3.1
Propagated dependencies: r-miscf@0.1-5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PottsUtils
Licenses: GPL 2
Build system: r
Synopsis: Utility Functions of the Potts Models
Description:

There are three sets of functions. The first produces basic properties of a graph and generates samples from multinomial distributions to facilitate the simulation functions (they maybe used for other purposes as well). The second provides various simulation functions for a Potts model in Potts, R. B. (1952) <doi:10.1017/S0305004100027419>. The third currently includes only one function which computes the normalizing constant of a Potts model based on simulation results.

r-pluscode 0.1.0
Propagated dependencies: 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=pluscode
Licenses: GPL 2
Build system: r
Synopsis: Encoder for Google 'Pluscodes'
Description:

Retrieves a pluscode by inputting latitude and longitude. Includes additional functions to retrieve neighbouring pluscodes'.

r-permubiome 1.3.2
Propagated dependencies: r-rlang@1.1.6 r-matrix@1.7-4 r-gridextra@2.3 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-dabestr@2025.3.15
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=permubiome
Licenses: GPL 3
Build system: r
Synopsis: Permutation Based Test for Biomarker Discovery in Microbiome Data
Description:

The permubiome R package was created to perform a permutation-based non-parametric analysis on microbiome data for biomarker discovery aims. This test executes thousands of comparisons in a pairwise manner, after a random shuffling of data into the different groups of study with a prior selection of the microbiome features with the largest variation among groups. Previous to the permutation test itself, data can be normalized according to different methods proposed to handle microbiome data ('proportions or Anders'). The median-based differences between groups resulting from the multiple simulations are fitted to a normal distribution with the aim to calculate their significance. A multiple testing correction based on Benjamini-Hochberg method (fdr) is finally applied to extract the differentially presented features between groups of your dataset. LATEST UPDATES: v1.1 and olders incorporates function to parse COLUMN format; v1.2 and olders incorporates -optimize- function to maximize evaluation of features with largest inter-class variation; v1.3 and olders includes the -size.effect- function to perform estimation statistics using the bootstrap-coupled approach implemented in the dabestr (>=0.3.0) R package. Current v1.3.2 fixed bug with "Class" recognition and updated dabestr functions.

r-pcvr 1.3.1
Propagated dependencies: r-viridis@0.6.5 r-survival@3.8-3 r-scales@1.4.0 r-rlang@1.1.6 r-quantreg@6.1 r-patchwork@1.3.2 r-nlme@3.1-168 r-mgcv@1.9-4 r-lmesplines@1.1.20 r-lme4@1.1-37 r-jsonlite@2.0.0 r-igraph@2.2.1 r-ggridges@0.5.7 r-ggplot2@4.0.1 r-factominer@2.12 r-extradistr@1.10.0 r-data-table@1.17.8 r-car@3.1-3 r-bayestestr@0.17.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/danforthcenter/pcvr
Licenses: GPL 2
Build system: r
Synopsis: Plant Phenotyping and Bayesian Statistics
Description:

Analyse common types of plant phenotyping data, provide a simplified interface to longitudinal growth modeling and select Bayesian statistics, and streamline use of PlantCV output. Several Bayesian methods and reporting guidelines for Bayesian methods are described in Kruschke (2018) <doi:10.1177/2515245918771304>, Kruschke (2013) <doi:10.1037/a0029146>, and Kruschke (2021) <doi:10.1038/s41562-021-01177-7>.

r-prithulib 1.0.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=prithulib
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Perform Random Experiments
Description:

Enables user to perform the following: 1. Roll n number of die/dice (roll()). 2. Toss n number of coin(s) (toss()). 3. Play the game of Rock, Paper, Scissors. 4. Choose n number of card(s) from a pack of 52 playing cards (Joker optional).

r-panelhetero 1.0.1
Propagated dependencies: r-rearrangement@2.1 r-kernsmooth@2.23-26 r-ggplot2@4.0.1 r-boot@1.3-32
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://tkhdyanagi.github.io/panelhetero/
Licenses: Expat
Build system: r
Synopsis: Panel Data Analysis with Heterogeneous Dynamics
Description:

Understanding the dynamics of potentially heterogeneous variables is important in statistical applications. This package provides tools for estimating the degree of heterogeneity across cross-sectional units in the panel data analysis. The methods are developed by Okui and Yanagi (2019) <doi:10.1016/j.jeconom.2019.04.036> and Okui and Yanagi (2020) <doi:10.1093/ectj/utz019>.

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-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-pkgdown-offline 0.1.2
Propagated dependencies: r-pkgdown@2.2.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://nanx.me/pkgdown.offline/
Licenses: Expat
Build system: r
Synopsis: Build 'pkgdown' Websites Offline
Description:

This package provides support for building pkgdown websites without an internet connection. Works by bundling cached dependencies and implementing drop-in replacements for key pkgdown functions. Enables package documentation websites to be built in environments where internet access is unavailable or restricted. For more details on generating pkgdown websites, see Wickham et al. (2025) <doi:10.32614/CRAN.package.pkgdown>.

r-phia 0.3-2
Propagated dependencies: r-matrix@1.7-4 r-car@3.1-3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/heliosdrm/phia
Licenses: GPL 3+
Build system: r
Synopsis: Post-Hoc Interaction Analysis
Description:

Analysis of terms in linear, generalized and mixed linear models, on the basis of multiple comparisons of factor contrasts. Specially suited for the analysis of interaction terms.

r-ptak 2.0.0
Propagated dependencies: r-tensor@1.5.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://www.GeotRYcs.com
Licenses: GPL 2+
Build system: r
Synopsis: Principal Tensor Analysis on k Modes
Description:

This package provides a multiway method to decompose a tensor (array) of any order, as a generalisation of SVD also supporting non-identity metrics and penalisations. 2-way SVD with these extensions is also available. The package includes also some other multiway methods: PCAn (Tucker-n) and PARAFAC/CANDECOMP with these extensions.

r-plotbart 0.1.7
Propagated dependencies: r-tidyr@1.3.1 r-rpart@4.1.24 r-ggplot2@4.0.1 r-ggdendro@0.2.0 r-dplyr@1.1.4 r-bartcause@1.0-10
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://priism-center.github.io/plotBart/
Licenses: Expat
Build system: r
Synopsis: Diagnostic and Plotting Functions to Supplement 'bartCause'
Description:

This package provides functions to assist in diagnostics and plotting during the causal inference modeling process. Supplements the bartCause package.

r-plordprob 1.1
Propagated dependencies: r-mnormt@2.1.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PLordprob
Licenses: GPL 2
Build system: r
Synopsis: Multivariate Ordered Probit Model via Pairwise Likelihood
Description:

Multivariate ordered probit model, i.e. the extension of the scalar ordered probit model where the observed variables have dimension greater than one. Estimation of the parameters is done via maximization of the pairwise likelihood, a special case of the composite likelihood obtained as product of bivariate marginal distributions. The package uses the Fortran 77 subroutine SADMVN by Alan Genz, with minor adaptations made by Adelchi Azzalini in his "mvnormt" package for evaluating the two-dimensional Gaussian integrals involved in the pairwise log-likelihood. Optimization of the latter objective function is performed via quasi-Newton box-constrained optimization algorithm, as implemented in nlminb.

r-plotprotein 1.0
Propagated dependencies: r-xml@3.99-0.20 r-seqinr@4.2-36 r-plyr@1.8.9 r-plotrix@3.8-13 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=plotprotein
Licenses: GPL 3
Build system: r
Synopsis: Development of Visualization Tools for Protein Sequence
Description:

The image of the amino acid transform on the protein level is drawn, and the automatic routing of the functional elements such as the domain and the mutation site is completed.

r-peppm 0.0.1
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/fndemarqui/peppm
Licenses: GPL 2+
Build system: r
Synopsis: Piecewise Exponential Distribution with Random Time Grids
Description:

Fits the Piecewise Exponential distribution with random time grids using the clustering structure of the Product Partition Models. Details of the implemented model can be found in Demarqui et al. (2008) <doi:10.1007/s10985-008-9086-0>.

r-podes 0.1.0
Propagated dependencies: r-readxl@1.4.5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PODES
Licenses: GPL 3
Build system: r
Synopsis: Village Potential Statistics of Indonesia
Description:

Village potential statistics (PODES) collects various information on village potential and challenges faced by villages in Indonesia. Information related to village potential includes economy, security, health, employment, communication and information, sports, entertainment, development, community empowerment, education, socio-culture, transportation in the village. Information related to challenges includes natural disasters, public health, environmental pollution, social problems and security disturbances that occur in the village.

r-pegs 0.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pegs
Licenses: GPL 3
Build system: r
Synopsis: Pseudo-Expectation Gauss-Seidel
Description:

This package provides a lightweight, dependency-free, and simplified implementation of the Pseudo-Expectation Gauss-Seidel (PEGS) algorithm. It fits the multivariate ridge regression model for genomic prediction Xavier and Habier (2022) <doi:10.1186/s12711-022-00730-w> and Xavier et al. (2025) <doi:10.1093/genetics/iyae179>, providing heritability estimates, genetic correlations, breeding values, and regression coefficient estimates for prediction. This package provides an alternative to the bWGR package by Xavier et al. (2019) <doi:10.1093/bioinformatics/btz794> by using LAPACK for its algebraic operations.

r-paramlink 1.1-6
Propagated dependencies: r-maxlik@1.5-2.1 r-kinship2@1.9.6.2 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/magnusdv/paramlink
Licenses: GPL 2+
Build system: r
Synopsis: Parametric Linkage and Other Pedigree Analysis in R
Description:

NOTE: PARAMLINK HAS BEEN SUPERSEDED BY THE PEDSUITE PACKAGES (<https://magnusdv.github.io/pedsuite/>). PARAMLINK IS MAINTAINED ONLY FOR LEGACY PURPOSES AND SHOULD NOT BE USED IN NEW PROJECTS. A suite of tools for analysing pedigrees with marker data, including parametric linkage analysis, forensic computations, relatedness analysis and marker simulations. The core of the package is an implementation of the Elston-Stewart algorithm for pedigree likelihoods, extended to allow mutations as well as complex inbreeding. Features for linkage analysis include singlepoint LOD scores, power analysis, and multipoint analysis (the latter through a wrapper to the MERLIN software). Forensic applications include exclusion probabilities, genotype distributions and conditional simulations. Data from the Familias software can be imported and analysed in paramlink'. Finally, paramlink offers many utility functions for creating, manipulating and plotting pedigrees with or without marker data (the actual plotting is done by the kinship2 package).

r-pgdraw 1.1
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=pgdraw
Licenses: GPL 3+
Build system: r
Synopsis: Generate Random Samples from the Polya-Gamma Distribution
Description:

Generates random samples from the Polya-Gamma distribution using an implementation of the algorithm described in J. Windle's PhD thesis (2013) <https://repositories.lib.utexas.edu/bitstream/handle/2152/21842/WINDLE-DISSERTATION-2013.pdf>. The underlying implementation is in C.

r-posologyr 1.2.8
Propagated dependencies: r-rxode2@5.0.1 r-mvtnorm@1.3-3 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://levenc.github.io/posologyr/
Licenses: AGPL 3
Build system: r
Synopsis: Individual Dose Optimization using Population Pharmacokinetics
Description:

Personalize drug regimens using individual pharmacokinetic (PK) and pharmacokinetic-pharmacodynamic (PK-PD) profiles. By combining therapeutic drug monitoring (TDM) data with a population model, posologyr offers accurate posterior estimates and helps compute optimal individualized dosing regimens. The empirical Bayes estimates are computed following the method described by Kang et al. (2012) <doi:10.4196/kjpp.2012.16.2.97>.

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