_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
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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-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-prioriactions 0.5.0
Propagated dependencies: r-tidyr@1.3.1 r-rlang@1.1.6 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-proto@1.0.0 r-matrix@1.7-4 r-magrittr@2.0.4 r-dplyr@1.1.4 r-bh@1.87.0-1 r-assertthat@0.2.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://prioriactions.github.io/prioriactions/
Licenses: GPL 2+
Build system: r
Synopsis: Multi-Action Conservation Planning
Description:

This uses a mixed integer mathematical programming (MIP) approach for building and solving multi-action planning problems, where the goal is to find an optimal combination of management actions that abate threats, in an efficient way while accounting for spatial aspects. Thus, optimizing the connectivity and conservation effectiveness of the prioritized units and of the deployed actions. The package is capable of handling different commercial (gurobi, CPLEX) and non-commercial (symphony, CBC) MIP solvers. Gurobi optimization solver can be installed using comprehensive instructions in the gurobi installation vignette of the prioritizr package (available in <https://prioritizr.net/articles/gurobi_installation_guide.html>). Instead, CPLEX optimization solver can be obtain from IBM CPLEX web page (available here <https://www.ibm.com/es-es/products/ilog-cplex-optimization-studio>). Additionally, the rcbc R package (available at <https://github.com/dirkschumacher/rcbc>) can be used to obtain solutions using the CBC optimization software (<https://github.com/coin-or/Cbc>). Methods used in the package refers to Salgado-Rojas et al. (2020) <doi:10.1016/j.ecolmodel.2019.108901>, Beyer et al. (2016) <doi:10.1016/j.ecolmodel.2016.02.005>, Cattarino et al. (2015) <doi:10.1371/journal.pone.0128027> and Watts et al. (2009) <doi:10.1016/j.envsoft.2009.06.005>. See the prioriactions website for more information, documentations and examples.

r-pimeta 1.1.3
Propagated dependencies: r-scales@1.4.0 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 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=pimeta
Licenses: GPL 3
Build system: r
Synopsis: Prediction Intervals for Random-Effects Meta-Analysis
Description:

An implementation of prediction intervals for random-effects meta-analysis: Higgins et al. (2009) <doi:10.1111/j.1467-985X.2008.00552.x>, Partlett and Riley (2017) <doi:10.1002/sim.7140>, and Nagashima et al. (2019) <doi:10.1177/0962280218773520>, <arXiv:1804.01054>.

r-plde 0.1.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=plde
Licenses: GPL 2+
Build system: r
Synopsis: Penalized Log-Density Estimation Using Legendre Polynomials
Description:

We present a penalized log-density estimation method using Legendre polynomials with lasso penalty to adjust estimate's smoothness. Re-expressing the logarithm of the density estimator via a linear combination of Legendre polynomials, we can estimate parameters by maximizing the penalized log-likelihood function. Besides, we proposed an implementation strategy that builds on the coordinate decent algorithm, together with the Bayesian information criterion (BIC).

r-phonevalidator 1.0.1
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://github.com/GenderAPI/PhoneValidator-R
Licenses: Expat
Build system: r
Synopsis: Client for 'GenderAPI.io' Phone Number Validation and Formatter API
Description:

This package provides an interface to the GenderAPI.io Phone Number Validation & Formatter API (<https://www.genderapi.io>) for validating international phone numbers, detecting number type (mobile, landline, Voice over Internet Protocol (VoIP)), retrieving region and country metadata, and formatting numbers to E.164 or national format. Designed to simplify integration into R workflows for data validation, Customer Relationship Management (CRM) data cleaning, and analytics tasks. Full documentation is available at <https://www.genderapi.io/docs-phone-validation-formatter-api>.

r-polarzonoid 0.3-0
Propagated dependencies: r-logger@0.4.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/glenndavis52/polarzonoid
Licenses: GPL 2+
Build system: r
Synopsis: Compute Maps and Properties of Polar Zonoids
Description:

In each odd dimension is a convex body - the polar zonoid - whose generating functions are trigonometric polynomials. The polar zonoid is a straightforward generalization of the polar zonohedron in dimension 3, as defined by Chilton and Coxeter (1963) <doi:10.2307/2313051>. The package has some applications of the polar zonoid, including the properties of configuration spaces of arcs on the circle and 3x3 rotation matrices. There is also a root solver for trigonometric polynomials.

r-poisson-glm-mix 1.4
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=poisson.glm.mix
Licenses: GPL 2
Build system: r
Synopsis: Fit High Dimensional Mixtures of Poisson GLMs
Description:

Mixtures of Poisson Generalized Linear Models for high dimensional count data clustering. The (multivariate) responses can be partitioned into set of blocks. Three different parameterizations of the linear predictor are considered. The models are estimated according to the EM algorithm with an efficient initialization scheme <doi:10.1016/j.csda.2014.07.005>.

r-phylolm-hp 0.0-4
Propagated dependencies: r-vegan@2.7-2 r-rr2@1.1.1 r-phylolm@2.6.5 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/laijiangshan/phylolm.hp
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Hierarchical Partitioning of R2 for Phylogenetic Linear Regression
Description:

Conducts hierarchical partitioning to calculate individual contributions of phylogenetic tree and predictors (groups) towards total R2 for phylogenetic linear regression models.

r-pssmcool 0.2.4
Propagated dependencies: r-phontools@0.2-2.2 r-infotheo@1.2.0.1 r-gtools@3.9.5 r-dtt@0.1-2.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/BioCool-Lab/PSSMCOOL
Licenses: GPL 3
Build system: r
Synopsis: Features Extracted from Position Specific Scoring Matrix (PSSM)
Description:

Returns almost all features that has been extracted from Position Specific Scoring Matrix (PSSM) so far, which is a matrix of L rows (L is protein length) and 20 columns produced by PSI-BLAST which is a program to produce PSSM Matrix from multiple sequence alignment of proteins see <https://www.ncbi.nlm.nih.gov/books/NBK2590/> for mor details. some of these features are described in Zahiri, J., et al.(2013) <DOI:10.1016/j.ygeno.2013.05.006>, Saini, H., et al.(2016) <DOI:10.17706/jsw.11.8.756-767>, Ding, S., et al.(2014) <DOI:10.1016/j.biochi.2013.09.013>, Cheng, C.W., et al.(2008) <DOI:10.1186/1471-2105-9-S12-S6>, Juan, E.Y., et al.(2009) <DOI:10.1109/CISIS.2009.194>.

r-prana 1.0.6
Propagated dependencies: r-robustbase@0.99-6 r-minet@3.68.0 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=PRANA
Licenses: GPL 3
Build system: r
Synopsis: Pseudo-Value Regression Approach for Network Analysis (PRANA)
Description:

This package provides a novel pseudo-value regression approach for the differential co-expression network analysis in expression data, which can incorporate additional clinical variables in the model. This is a direct regression modeling for the differential network analysis, and it is therefore computationally amenable for the most users. The full methodological details can be found in Ahn S et al (2023) <doi:10.1186/s12859-022-05123-w>.

r-pivmet 0.6.0
Dependencies: pandoc@2.19.2 pandoc@2.19.2
Propagated dependencies: r-scales@1.4.0 r-runjags@2.2.2-5 r-rstan@2.32.7 r-rjags@4-17 r-mvtnorm@1.3-3 r-mclust@6.1.2 r-mass@7.3-65 r-corpcor@1.6.10 r-cluster@2.1.8.1 r-bayesplot@1.14.0 r-bayesmix@0.7-6
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/leoegidi/pivmet
Licenses: GPL 2
Build system: r
Synopsis: Pivotal Methods for Bayesian Relabelling and k-Means Clustering
Description:

Collection of pivotal algorithms for: relabelling the MCMC chains in order to undo the label switching problem in Bayesian mixture models; fitting sparse finite mixtures; initializing the centers of the classical k-means algorithm in order to obtain a better clustering solution. For further details see Egidi, Pappadà , Pauli and Torelli (2018b)<ISBN:9788891910233>.

r-pkgverse 0.0.1
Propagated dependencies: r-usethis@3.2.1 r-devtools@2.4.6
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://pkgverse.mikewk.com
Licenses: CC0
Build system: r
Synopsis: Build a Meta-Package Universe
Description:

Build your own universe of packages similar to the tidyverse package <https://tidyverse.org/> with this meta-package creator. Create a package-verse, or meta package, by supplying a custom name for the collection of packages and the vector of desired package names to includeâ and optionally supply a destination directory, an indicator of whether to keep the created package directory, and/or a vector of verbs implement via the usethis <http://usethis.r-lib.org/> package.

r-perarma 1.7
Propagated dependencies: r-signal@1.8-1 r-matrix@1.7-4 r-matlab@1.0.4.1 r-gnm@1.1-5 r-corpcor@1.6.10
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=perARMA
Licenses: GPL 2+
Build system: r
Synopsis: Periodic Time Series Analysis
Description:

Identification, model fitting and estimation for time series with periodic structure. Additionally, procedures for simulation of periodic processes and real data sets are included. Hurd, H. L., Miamee, A. G. (2007) <doi:10.1002/9780470182833> Box, G. E. P., Jenkins, G. M., Reinsel, G. (1994) <doi:10.1111/jtsa.12194> Brockwell, P. J., Davis, R. A. (1991, ISBN:978-1-4419-0319-8) Bretz, F., Hothorn, T., Westfall, P. (2010, ISBN: 9780429139543) Westfall, P. H., Young, S. S. (1993, ISBN:978-0-471-55761-6) Bloomfield, P., Hurd, H. L.,Lund, R. (1994) <doi:10.1111/j.1467-9892.1994.tb00181.x> Dehay, D., Hurd, H. L. (1994, ISBN:0-7803-1023-3) Vecchia, A. (1985) <doi:10.1080/00401706.1985.10488076> Vecchia, A. (1985) <doi:10.1111/j.1752-1688.1985.tb00167.x> Jones, R., Brelsford, W. (1967) <doi:10.1093/biomet/54.3-4.403> Makagon, A. (1999) <https://www.math.uni.wroc.pl/~pms/files/19.2/Article/19.2.5.pdf> Sakai, H. (1989) <doi:10.1111/j.1467-9892.1991.tb00069.x> Gladyshev, E. G. (1961) <https://www.mathnet.ru/php/archive.phtml?wshow=paper&jrnid=dan&paperid=24851> Ansley (1979) <doi:10.1093/biomet/66.1.59> Hurd, H. L., Gerr, N. L. (1991) <doi:10.1111/j.1467-9892.1991.tb00088.x>.

r-plumbertableau 0.1.1
Propagated dependencies: r-urltools@1.7.3.1 r-stringi@1.8.7 r-rlang@1.1.6 r-promises@1.5.0 r-plumber@1.3.0 r-markdown@2.0 r-magrittr@2.0.4 r-later@1.4.4 r-knitr@1.50 r-jsonlite@2.0.0 r-httr@1.4.7 r-httpuv@1.6.16 r-htmltools@0.5.8.1 r-debugme@1.2.0 r-curl@7.0.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://rstudio.github.io/plumbertableau/
Licenses: Expat
Build system: r
Synopsis: Turn 'Plumber' APIs into 'Tableau' Extensions
Description:

Build Plumber APIs that can be used in Tableau workbooks. Annotations in R comments allow APIs to conform to the Tableau Analytics Extension specification, so that R code can be used to power Tableau workbooks.

r-precisesums 0.7
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/nlmixr2/PreciseSums
Licenses: GPL 2+
Build system: r
Synopsis: Accurate Floating Point Sums and Products
Description:

Most of the time floating point arithmetic does approximately the right thing. When adding sums or having products of numbers that greatly differ in magnitude, the floating point arithmetic may be incorrect. This package implements the Kahan (1965) sum <doi:10.1145/363707.363723>, Neumaier (1974) sum <doi:10.1002/zamm.19740540106>, pairwise-sum (adapted from NumPy', See Castaldo (2008) <doi:10.1137/070679946> for a discussion of accuracy), and arbitrary precision sum (adapted from the fsum in Python ; Shewchuk (1997) <https://people.eecs.berkeley.edu/~jrs/papers/robustr.pdf>). In addition, products are changed to long double precision for accuracy, or changed into a log-sum for accuracy.

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).

r-presiduals 1.0-2
Propagated dependencies: r-sparsem@1.84-2 r-rms@8.1-0 r-mass@7.3-65 r-formula@1.2-5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PResiduals
Licenses: GPL 2+
Build system: r
Synopsis: Probability-Scale Residuals and Residual Correlations
Description:

Computes probability-scale residuals and residual correlations for continuous, ordinal, binary, count, and time-to-event data Qi Liu, Bryan Shepherd, Chun Li (2020) <doi:10.18637/jss.v094.i12>.

r-pcbn 0.1.1
Propagated dependencies: r-vinecopula@2.6.1 r-r2r@0.1.2 r-igraph@2.2.1 r-bnlearn@5.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/AlexisDerumigny/PCBN
Licenses: GPL 2+
Build system: r
Synopsis: Inference of Pair-Copula Bayesian Networks
Description:

Creates, fits and samples Pair-Copula Bayesian networks (PCBN) under some restrictions on the underlying Directed Acyclic Graph (DAG), that is, no active cycles nor interfering v-structures, following Derumigny, Horsman and Kurowicka (2025) <doi:10.48550/arXiv.2510.03518>.

r-pam 2.0.2
Propagated dependencies: r-rlang@1.1.6 r-minpack-lm@1.2-4 r-metrics@0.1.4 r-gridextra@2.3 r-ggthemes@5.1.0 r-ggplot2@4.0.1 r-data-table@1.17.8 r-cowplot@1.2.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/biotoolbox/pam
Licenses: GPL 3
Build system: r
Synopsis: Fast and Efficient Processing of PAM Data
Description:

Processing Chlorophyll Fluorescence & P700 Absorbance data. Four models are provided for the regression of Pi curves, which can be compared with each other in order to select the most suitable model for the data set. Control plots ensure the successful verification of each regression. Bundled output of alpha, ETRmax, Ik etc. enables fast and reliable further processing of the data.

r-pare 0.1.16
Propagated dependencies: r-stringr@1.6.0 r-rsvg@2.7.0 r-rmarkdown@2.30 r-r6@2.6.1 r-pak@0.9.2 r-magrittr@2.0.4 r-lintr@3.3.0-1 r-igraph@2.2.1 r-glue@1.8.0 r-git2r@0.36.2 r-dplyr@1.1.4 r-diagrammersvg@0.1 r-diagrammer@1.0.11 r-desc@1.4.3 r-cyclocomp@1.1.1 r-cli@3.6.5 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/darwin-eu-dev/PaRe
Licenses: FSDG-compatible
Build system: r
Synopsis: Way to Perform Code Review or QA on Other Packages
Description:

Reviews other packages during code review by looking at their dependencies, code style, code complexity, and how internally defined functions interact with one another.

r-poisbinord 1.4.3
Propagated dependencies: r-mvtnorm@1.3-3 r-matrix@1.7-4 r-genord@2.0.0 r-corpcor@1.6.10
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=PoisBinOrd
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Data Generation with Poisson, Binary and Ordinal Components
Description:

Generation of multiple count, binary and ordinal 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, A. and Demirtas, H. (2015) <DOI:10.1080/00949655.2014.953534>.

r-pointres 2.0.2
Propagated dependencies: r-tripler@1.5.5 r-plyr@1.8.9 r-ggplot2@4.0.1 r-dplr@1.7.8 r-desctools@0.99.60
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pointRes
Licenses: GPL 2+
Build system: r
Synopsis: Analyzing Pointer Years and Components of Resilience
Description:

This package provides functions to calculate and plot event and pointer years as well as resilience indices. Designed for dendroecological applications, but also suitable to analyze patterns in other ecological time series.

r-processmonitr 0.1.0
Propagated dependencies: r-shiny@1.11.1 r-miniui@0.1.2 r-magrittr@2.0.4 r-ggplot2@4.0.1 r-edear@1.0.0 r-dplyr@1.1.4 r-bupar@1.0.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://www.bupar.net
Licenses: Expat
Build system: r
Synopsis: Building Process Monitoring Dashboards
Description:

This package provides functions for constructing dashboards for business process monitoring. Building on the event log objects class from package bupaR'. Allows the use to assemble custom shiny dashboards based on process data.

r-pnd 0.1.2
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.

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