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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.

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r-poppyramid 0.1.1
Propagated dependencies: r-tibble@3.3.0 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://github.com/musajajorge/popPyramid
Licenses: GPL 3
Build system: r
Synopsis: Population Pyramids
Description:

This package provides functions that facilitate the elaboration of population pyramids.

r-publish 2025.07.24
Propagated dependencies: r-survival@3.8-3 r-prodlim@2025.04.28 r-multcomp@1.4-29 r-lava@1.8.2 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=Publish
Licenses: GPL 2+
Build system: r
Synopsis: Format Output of Various Routines in a Suitable Way for Reports and Publication
Description:

This package provides a bunch of convenience functions that transform the results of some basic statistical analyses into table format nearly ready for publication. This includes descriptive tables, tables of logistic regression and Cox regression results as well as forest plots.

r-parsim 0.3.1
Propagated dependencies: r-parabar@1.4.2 r-dplyr@1.1.4 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/SachaEpskamp/parSim
Licenses: GPL 2
Build system: r
Synopsis: Parallel Simulator
Description:

Perform flexible simulation studies using one or multiple computer cores. The package is set up to be usable on high-performance clusters in addition to being run locally (i.e., see the package vignettes for more information).

r-p3state-msm 1.3.3
Propagated dependencies: r-survival@3.8-3
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=p3state.msm
Licenses: GPL 3
Build system: r
Synopsis: Analyzing Survival Data from an Illness-Death Model
Description:

This package contains functions for data preparation, prediction of transition probabilities, estimating semi-parametric regression models and for implementing nonparametric estimators for other quantities. See Meira-Machado and Roca-Pardiñas (2011) <doi:10.18637/jss.v038.i03>.

r-precast 1.8
Propagated dependencies: r-seurat@5.3.1 r-scater@1.38.0 r-scales@1.4.0 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-purrr@1.2.0 r-pbapply@1.7-4 r-patchwork@1.3.2 r-mclust@6.1.2 r-matrix@1.7-4 r-mass@7.3-65 r-irlba@2.3.5.1 r-harmony@1.2.4 r-gtools@3.9.5 r-ggthemes@5.1.0 r-ggpubr@0.6.2 r-ggplot2@4.0.1 r-dr-sc@3.7 r-dplyr@1.1.4 r-cowplot@1.2.0 r-colorspace@2.1-2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/feiyoung/PRECAST
Licenses: GPL 3
Build system: r
Synopsis: Embedding and Clustering with Alignment for Spatial Omics Datasets
Description:

An efficient data integration method is provided for multiple spatial transcriptomics data with non-cluster-relevant effects such as the complex batch effects. It unifies spatial factor analysis simultaneously with spatial clustering and embedding alignment, requiring only partially shared cell/domain clusters across datasets. More details can be referred to Wei Liu, et al. (2023) <doi:10.1038/s41467-023-35947-w>.

r-pecora 0.1.2
Propagated dependencies: r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-matrixstats@1.5.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pecora
Licenses: GPL 2+
Build system: r
Synopsis: Permutation Conditional Random Tests
Description:

It provides functions to perform permutation conditional random one-sample and two-samples t-tests in a multivariate framework.

r-pspearman 0.3-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pspearman
Licenses: GPL 3
Build system: r
Synopsis: Spearman's Rank Correlation Test
Description:

Spearman's rank correlation test with precomputed exact null distribution for n <= 22.

r-pmultinom 1.0.0
Propagated dependencies: r-fftw@1.0-9
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=pmultinom
Licenses: AGPL 3
Build system: r
Synopsis: One-Sided Multinomial Probabilities
Description:

This package implements multinomial CDF (P(N1<=n1, ..., Nk<=nk)) and tail probabilities (P(N1>n1, ..., Nk>nk)), as well as probabilities with both constraints (P(l1<N1<=u1, ..., lk<Nk<=uk)). Uses a method suggested by Bruce Levin (1981) <doi:10.1214/aos/1176345593>.

r-podbay 1.4.3
Propagated dependencies: r-rcpp@1.1.0 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=PoDBAY
Licenses: GPL 3
Build system: r
Synopsis: Vaccine Efficacy Estimation Package
Description:

Set of functions that implement the PoDBAY method, described in the publication A method to estimate probability of disease and vaccine efficacy from clinical trial immunogenicity data by Julie Dudasova, Regina Laube, Chandni Valiathan, Matthew C. Wiener, Ferdous Gheyas, Pavel Fiser, Justina Ivanauskaite, Frank Liu and Jeffrey R. Sachs (NPJ Vaccines, 2021), <doi:10.1038/s41541-021-00377-6>.

r-periscope2 0.3.0
Propagated dependencies: r-yaml@2.3.10 r-writexl@1.5.4 r-shinywidgets@0.9.0 r-shinyfeedback@0.4.0 r-shiny@1.11.1 r-reactable@0.4.5 r-lubridate@1.9.4 r-lifecycle@1.0.4 r-fresh@0.2.2 r-dt@0.34.0 r-bs4dash@2.3.5
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/Aggregate-Genius/periscope2
Licenses: GPL 3
Build system: r
Synopsis: Enterprise Streamlined 'shiny' Application Framework Using 'bs4Dash'
Description:

This package provides a framework for building enterprise, scalable and UI-standardized shiny applications. It brings enhanced features such as bootstrap v4 <https://getbootstrap.com/docs/4.0/getting-started/introduction/>, additional and enhanced shiny modules, customizable UI features, as well as an enhanced application file organization paradigm. This update allows developers to harness the ability to build powerful applications and enriches the shiny developers experience when building and maintaining applications.

r-ptinpoly 2.8
Propagated dependencies: r-misc3d@0.9-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: http://ptinpoly.pbworks.com
Licenses: GPL 2
Build system: r
Synopsis: Point-in-Polyhedron Test (2D and 3D)
Description:

Function pip3d() tests whether a point in 3D space is within, exactly on, or outside an enclosed surface defined by a triangular mesh. Function pip2d() tests whether a point in 2D space is within, exactly on, or outside a polygon. For a reference, see: Liu et al., A new point containment test algorithm based on preprocessing and determining triangles, Computer-Aided Design 42(12):1143-1150.

r-partools 1.1.7
Propagated dependencies: r-regtools@1.7.0 r-pdist@1.2.1 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/matloff/partools
Licenses: GPL 2+
Build system: r
Synopsis: Tools for the 'Parallel' Package
Description:

Miscellaneous utilities for parallelizing large computations. Alternative to MapReduce. File splitting and distributed operations such as sort and aggregate. "Software Alchemy" method for parallelizing most statistical methods, presented in N. Matloff, Parallel Computation for Data Science, Chapman and Hall, 2015. Includes a debugging aid.

r-prophet 1.1.7
Propagated dependencies: r-xts@0.14.1 r-tidyr@1.3.1 r-stanheaders@2.32.10 r-scales@1.4.0 r-rstantools@2.5.0 r-rstan@2.32.7 r-rlang@1.1.6 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-lubridate@1.9.4 r-ggplot2@4.0.1 r-extradistr@1.10.0 r-dygraphs@1.1.1.6 r-dplyr@1.1.4 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/facebook/prophet
Licenses: Expat
Build system: r
Synopsis: Automatic Forecasting Procedure
Description:

This package implements a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well.

r-phylin 2.0.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://www.r-project.org
Licenses: GPL 2+
Build system: r
Synopsis: Spatial Interpolation of Genetic Data
Description:

The spatial interpolation of genetic distances between samples is based on a modified kriging method that accepts a genetic distance matrix and generates a map of probability of lineage presence. This package also offers tools to generate a map of potential contact zones between groups with user-defined thresholds in the tree to account for old and recent divergence. Additionally, it has functions for IDW interpolation using genetic data and midpoints.

r-pcsinr 0.1.0
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://github.com/felixhenninger/PCSinR
Licenses: GPL 3+
Build system: r
Synopsis: Parallel Constraint Satisfaction Networks in R
Description:

Parallel Constraint Satisfaction (PCS) models are an increasingly common class of models in Psychology, with applications to reading and word recognition (McClelland & Rumelhart, 1981), judgment and decision making (Glöckner & Betsch, 2008; Glöckner, Hilbig, & Jekel, 2014), and several other fields (e.g. Read, Vanman, & Miller, 1997). In each of these fields, they provide a quantitative model of psychological phenomena, with precise predictions regarding choice probabilities, decision times, and often the degree of confidence. This package provides the necessary functions to create and simulate basic Parallel Constraint Satisfaction networks within R.

r-pssubpathway 0.1.3
Propagated dependencies: r-pheatmap@1.0.13 r-mpmi@0.43.2.1 r-igraph@2.2.1 r-gsva@2.4.1
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=psSubpathway
Licenses: GPL 2+
Build system: r
Synopsis: Flexible Identification of Phenotype-Specific Subpathways
Description:

This package provides a network-based systems biology tool for flexible identification of phenotype-specific subpathways in the cancer gene expression data with multiple categories (such as multiple subtype or developmental stages of cancer). Subtype Set Enrichment Analysis (SubSEA) and Dynamic Changed Subpathway Analysis (DCSA) are developed to flexible identify subtype specific and dynamic changed subpathways respectively. The operation modes include extraction of subpathways from biological pathways, inference of subpathway activities in the context of gene expression data, identification of subtype specific subpathways with SubSEA, identification of dynamic changed subpathways associated with the cancer developmental stage with DCSA, and visualization of the activities of resulting subpathways by using box plots and heat maps. Its capabilities render the tool could find the specific abnormal subpathways in the cancer dataset with multi-phenotype samples.

r-plgraphics 1.3
Propagated dependencies: r-survival@3.8-3 r-mass@7.3-65 r-lme4@1.1-37 r-chron@2.3-62
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://regdevelop.r-forge.r-project.org/
Licenses: GPL 2
Build system: r
Synopsis: User Oriented Plotting Functions
Description:

Plots with high flexibility and easy handling, including informative regression diagnostics for many models.

r-phoenics 0.6
Propagated dependencies: r-tidyr@1.3.1 r-tibble@3.3.0 r-lme4@1.1-37 r-factominer@2.12 r-factoextra@1.0.7 r-blme@1.0-6
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://forge.inrae.fr/panoramics/phoenics
Licenses: GPL 3
Build system: r
Synopsis: Pathways Longitudinal and Differential Analysis in Metabolomics
Description:

Perform a differential analysis at pathway level based on metabolite quantifications and information on pathway metabolite composition. The method, described in Guilmineau et al (2025) <doi:10.1186/s12859-025-06118-z> is based on a Principal Component Analysis step and on a linear mixed model. Automatic query of metabolic pathways is also implemented.

r-pkbioanalysis 0.5.0
Dependencies: python@3.11.14
Propagated dependencies: r-yaml@2.3.10 r-xml2@1.5.0 r-writexl@1.5.4 r-uuid@1.2-1 r-units@1.0-0 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-stringr@1.6.0 r-sortable@0.6.0 r-shinywidgets@0.9.0 r-shinyjs@2.1.0 r-shinychat@0.3.0 r-shinyalert@3.1.0 r-shiny@1.11.1 r-scales@1.4.0 r-rtmb@1.8 r-rlang@1.1.6 r-rhandsontable@0.3.8 r-reticulate@1.44.1 r-reactable@0.4.5 r-rams@1.4.3 r-pracma@2.4.6 r-plotly@4.11.0 r-nloptr@2.2.1 r-nlme@3.1-168 r-jsonlite@2.0.0 r-janitor@2.2.1 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-gtools@3.9.5 r-gt@1.3.0 r-glue@1.8.0 r-ggplot2@4.0.1 r-ggiraph@0.9.2 r-ggforce@0.5.0 r-forcats@1.0.1 r-ellmer@0.4.0 r-duckdb@1.4.2 r-dt@0.34.0 r-dplyr@1.1.4 r-diagrammer@1.0.11 r-dbi@1.2.3 r-data-tree@1.2.0 r-cli@3.6.5 r-checkmate@2.3.3 r-bslib@0.9.0 r-bsicons@0.1.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://omarashkar.github.io/PKbioanalysis/
Licenses: AGPL 3+
Build system: r
Synopsis: Pharmacokinetic Bioanalysis Experiments Design and Exploration
Description:

Automate pharmacokinetic/pharmacodynamic bioanalytical procedures based on best practices and regulatory recommendations. The package impose regulatory constrains and sanity checking for common bioanalytical procedures. Additionally, PKbioanalysis provides a relational infrastructure for plate management and injection sequence.

r-plot3drgl 1.0.5
Propagated dependencies: r-rgl@1.3.31 r-plot3d@1.4.2
Channel: guix-cran
Location: guix-cran/packages/p.scm (guix-cran packages p)
Home page: https://cran.r-project.org/package=plot3Drgl
Licenses: GPL 3+
Build system: r
Synopsis: Plotting Multi-Dimensional Data - Using 'rgl'
Description:

The rgl implementation of plot3D functions.

r-pencopulacond 0.2
Propagated dependencies: r-tsp@1.2.6 r-quadprog@1.5-8 r-pacotest@0.4.3 r-latticeextra@0.6-31 r-lattice@0.22-7 r-igraph@2.2.1 r-foreach@1.5.2 r-fda@6.3.0 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=pencopulaCond
Licenses: GPL 2+
Build system: r
Synopsis: Estimating Non-Simplified Vine Copulas Using Penalized Splines
Description:

Estimating Non-Simplified Vine Copulas Using Penalized Splines.

r-panelselect 1.0.0
Propagated dependencies: r-statmod@1.5.1 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-pbv@0.5-47 r-pbivnorm@0.6.0 r-panelcount@2.0.1 r-maxlik@1.5-2.1 r-mass@7.3-65 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=PanelSelect
Licenses: GPL 3+
Build system: r
Synopsis: Panel Sample Selection Models
Description:

Extends the Heckman selection framework to panel data with individual random effects. The first stage models participation via a panel Probit specification, while the second stage can take a panel linear, Probit, Poisson, or Poisson log-normal form. Model details are provided in Bailey and Peng (2025) <doi:10.2139/ssrn.5475626> and Peng and Van den Bulte (2024) <doi:10.1287/mnsc.2019.01897>.

r-polle 1.6.2
Propagated dependencies: r-targeted@0.7.1 r-survival@3.8-3 r-superlearner@2.0-29 r-progressr@0.18.0 r-policytree@1.2.4 r-lava@1.8.2 r-future-apply@1.20.0 r-dyntxregime@4.16 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=polle
Licenses: FSDG-compatible
Build system: r
Synopsis: Policy Learning
Description:

Package for learning and evaluating (subgroup) policies via doubly robust loss functions. Policy learning methods include doubly robust blip/conditional average treatment effect learning and sequential policy tree learning. Methods for (subgroup) policy evaluation include doubly robust cross-fitting and online estimation/sequential validation. See Nordland and Holst (2022) <doi:10.48550/arXiv.2212.02335> for documentation and references.

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>.

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