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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-riskregression 2025.09.17
Propagated dependencies: r-timereg@2.0.7 r-survival@3.8-3 r-rms@8.1-0 r-rcpparmadillo@15.2.2-1 r-rcpp@1.1.0 r-ranger@0.17.0 r-publish@2025.07.24 r-prodlim@2025.04.28 r-plotrix@3.8-13 r-mvtnorm@1.3-3 r-mets@1.3.9 r-lava@1.8.2 r-lattice@0.22-7 r-glmnet@4.1-10 r-ggplot2@4.0.1 r-foreach@1.5.2 r-doparallel@1.0.17 r-data-table@1.17.8 r-cmprsk@2.2-12
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/tagteam/riskRegression
Licenses: GPL 2+
Build system: r
Synopsis: Risk Regression Models and Prediction Scores for Survival Analysis with Competing Risks
Description:

Implementation of the following methods for event history analysis. Risk regression models for survival endpoints also in the presence of competing risks are fitted using binomial regression based on a time sequence of binary event status variables. A formula interface for the Fine-Gray regression model and an interface for the combination of cause-specific Cox regression models. A toolbox for assessing and comparing performance of risk predictions (risk markers and risk prediction models). Prediction performance is measured by the Brier score and the area under the ROC curve for binary possibly time-dependent outcome. Inverse probability of censoring weighting and pseudo values are used to deal with right censored data. Lists of risk markers and lists of risk models are assessed simultaneously. Cross-validation repeatedly splits the data, trains the risk prediction models on one part of each split and then summarizes and compares the performance across splits.

r-resi 1.3.2
Propagated dependencies: r-sandwich@3.1-1 r-nlme@3.1-168 r-lmtest@0.9-40 r-ggplot2@4.0.1 r-clubsandwich@0.6.1 r-car@3.1-3 r-boot@1.3-32 r-aod@1.3.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://statimagcoll.github.io/RESI/
Licenses: GPL 3
Build system: r
Synopsis: Robust Effect Size Index (RESI) Estimation
Description:

Summarize model output using a robust effect size index. The index is introduced in Vandekar, Tao, & Blume (2020, <doi:10.1007/s11336-020-09698-2>). Software paper available at <doi:10.18637/jss.v112.i03>.

r-rapport 1.2
Propagated dependencies: r-yaml@2.3.10 r-stringr@1.6.0 r-rapportools@1.2 r-pander@0.6.6
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://rapporter.github.io/rapport/
Licenses: AGPL 3
Build system: r
Synopsis: Report Templating System
Description:

Facilitating the creation of reproducible statistical report templates. Once created, rapport templates can be exported to various external formats (HTML, LaTeX, PDF, ODT etc.) with pandoc as the converter backend.

r-require 1.0.1
Propagated dependencies: r-sys@3.4.3 r-data-table@1.17.8
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://Require.predictiveecology.org
Licenses: GPL 3
Build system: r
Synopsis: Installing and Loading R Packages for Reproducible Workflows
Description:

This package provides a single key function, Require that makes rerun-tolerant versions of install.packages and `require` for CRAN packages, packages no longer on CRAN (i.e., archived), specific versions of packages, and GitHub packages. This approach is developed to create reproducible workflows that are flexible and fast enough to use while in development stages, while able to build snapshots once a stable package collection is found. As with other functions in a reproducible workflow, this package emphasizes functions that return the same result whether it is the first or subsequent times running the function, with subsequent times being sufficiently fast that they can be run every time without undue waiting burden on the user or developer.

r-redisbasecontainer 1.0.1
Propagated dependencies: r-dockerparallel@1.0.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RedisBaseContainer
Licenses: GPL 3
Build system: r
Synopsis: The Container for the DockerParallel Package
Description:

Providing the container for the DockerParallel package.

r-redas 0.9.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=REdaS
Licenses: GPL 2
Build system: r
Synopsis: Companion Package to the Book 'R: Einführung durch angewandte Statistik'
Description:

This package provides functions used in the R: Einführung durch angewandte Statistik (second edition).

r-rasterdiv 0.3.8
Propagated dependencies: r-viridis@0.6.5 r-twdtw@1.0-1 r-terra@1.8-86 r-proxy@0.4-27 r-progress@1.2.3 r-ggplot2@4.0.1 r-ggforce@0.5.0 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://mattmar.github.io/rasterdiv/
Licenses: GPL 2+
Build system: r
Synopsis: Diversity Indices for Numerical Matrices
Description:

This package provides methods for calculating diversity indices on numerical matrices, based on information theory, following Rocchini, Marcantonio and Ricotta (2017) <doi:10.1016/j.ecolind.2016.07.039> and Rocchini et al. (2021) <doi:10.1101/2021.01.23.427872>.

r-rsurveillance 0.2.1
Propagated dependencies: r-mc2d@0.2.1 r-epitools@0.5-10.1 r-epir@2.0.90
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/roStats/RSurveillance
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Design and Analysis of Disease Surveillance Activities
Description:

This package provides a range of functions for the design and analysis of disease surveillance activities. These functions were originally developed for animal health surveillance activities but can be equally applied to aquatic animal, wildlife, plant and human health surveillance activities. Utilities are included for sample size calculation and analysis of representative surveys for disease freedom, risk-based studies for disease freedom and for prevalence estimation. This package is based on Cameron A., Conraths F., Frohlich A., Schauer B., Schulz K., Sergeant E., Sonnenburg J., Staubach C. (2015). R package of functions for risk-based surveillance. Deliverable 6.24, WP 6 - Decision making tools for implementing risk-based surveillance, Grant Number no. 310806, RISKSUR (<https://www.fp7-risksur.eu/sites/default/files/documents/Deliverables/RISKSUR_%28310806%29_D6.24.pdf>). Many of the RSurveillance functions are incorporated into the epitools website: Sergeant, ESG, 2019. Epitools epidemiological calculators. Ausvet Pty Ltd. Available at: <http://epitools.ausvet.com.au>.

r-rbranding 0.1.1
Propagated dependencies: r-yaml@2.3.10 r-ggplot2@4.0.1 r-credentials@2.0.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://epiforesite.github.io/rbranding/
Licenses: Expat
Build system: r
Synopsis: Manage Branding and Accessibility of R Projects
Description:

This package provides a tool for building projects that are visually consistent, accessible, and easy to maintain. It provides functions for managing branding assets, applying organization-wide themes using brand.yml', and setting up new projects with accessibility features and correct branding. It supports quarto', shiny', and rmarkdown projects, and integrates with ggplot2'. The accessibility features are based on the Web Content Accessibility Guidelines <https://www.w3.org/WAI/WCAG22/quickref/?versions=2.1> and Accessible Rich Internet Applications (ARIA) specifications <https://www.w3.org/WAI/ARIA/apg/>. The branding framework implements the brand.yml specification <https://posit-dev.github.io/brand-yml/>.

r-redcapapi 2.11.5
Propagated dependencies: r-shelter@0.2.1 r-mime@0.13 r-lubridate@1.9.4 r-labelvector@0.1.2 r-jsonlite@2.0.0 r-curl@7.0.0 r-chron@2.3-62 r-checkmate@2.3.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/vubiostat/redcapAPI
Licenses: GPL 2
Build system: r
Synopsis: Interface to 'REDCap'
Description:

Access data stored in REDCap databases using the Application Programming Interface (API). REDCap (Research Electronic Data CAPture; <https://projectredcap.org>, Harris, et al. (2009) <doi:10.1016/j.jbi.2008.08.010>, Harris, et al. (2019) <doi:10.1016/j.jbi.2019.103208>) is a web application for building and managing online surveys and databases developed at Vanderbilt University. The API allows users to access data and project meta data (such as the data dictionary) from the web programmatically. The redcapAPI package facilitates the process of accessing data with options to prepare an analysis-ready data set consistent with the definitions in a database's data dictionary.

r-rocnp 0.1.0
Propagated dependencies: r-tibble@3.3.0 r-stringr@1.6.0 r-rlang@1.1.6 r-purrr@1.2.0 r-magrittr@2.0.4 r-glue@1.8.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/dragosmg/rocnp
Licenses: Expat
Build system: r
Synopsis: Work with Romanian Personal Numeric Codes PNC / CNP
Description:

This package provides a set of tools for working with Romanian personal numeric codes. The core is a validation function which applies several verification criteria to assess the validity of numeric codes. This is accompanied by functionality for extracting the different components of a personal numeric code. A personal numeric code is issued to all Romanian residents either at birth or when they obtain a residence permit.

r-rootsextremainflections 1.2.5
Propagated dependencies: r-iterators@1.0.14 r-inflection@1.3.7 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RootsExtremaInflections
Licenses: GPL 2
Build system: r
Synopsis: Finds Roots, Extrema and Inflection Points of a Curve
Description:

Implementation of Taylor Regression Estimator (TRE), Tulip Extreme Finding Estimator (TEFE), Bell Extreme Finding Estimator (BEFE), Integration Extreme Finding Estimator (IEFE) and Integration Root Finding Estimator (IRFE) for roots, extrema and inflections of a curve . Christopoulos, DT (2019) <doi:10.13140/RG.2.2.17158.32324> . Christopoulos, DT (2016) <doi:10.2139/ssrn.3043076> . Christopoulos, DT (2016) <https://demovtu.veltech.edu.in/wp-content/uploads/2016/04/Paper-04-2016.pdf> . Christopoulos, DT (2014) <doi:10.48550/arXiv.1206.5478> .

r-reliabilitytheory 0.3.1
Propagated dependencies: r-sfsmisc@1.1-23 r-phasetype@0.3.0 r-mcmc@0.9-8 r-igraph@2.2.1 r-fraction@1.1.1 r-combinat@0.0-8 r-actuar@3.3-6
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://www.louisaslett.com/
Licenses: GPL 2 GPL 3
Build system: r
Synopsis: Structural Reliability Analysis
Description:

Perform structural reliability analysis, including computation and simulation with system signatures, Samaniego (2007) <doi:10.1007/978-0-387-71797-5>, and survival signatures, Coolen and Coolen-Maturi (2013) <doi:10.1007/978-3-642-30662-4_8>. Additionally supports parametric and topological inference given system lifetime data, Aslett (2012) <https://www.louisaslett.com/PhD_Thesis.pdf>.

r-randomizebe 0.3-6
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=randomizeBE
Licenses: GPL 2+
Build system: r
Synopsis: Create a Random List for Crossover Studies
Description:

This package contains a function to randomize subjects, patients in groups of sequences (treatment sequences). If a blocksize is given, the randomization will be done within blocks. The randomization may be controlled by a Wald-Wolfowitz runs test. Functions to obtain the p-value of that test are included. The package is mainly intended for randomization of bioequivalence studies but may be used also for other clinical crossover studies. Contains two helper functions sequences() and williams() to get the sequences of commonly used designs in BE studies.

r-rhino 1.11.0
Propagated dependencies: r-yaml@2.3.10 r-withr@3.0.2 r-testthat@3.3.0 r-styler@1.11.0 r-shiny@1.11.1 r-sass@0.4.10 r-rstudioapi@0.17.1 r-renv@1.1.5 r-purrr@1.2.0 r-logger@0.4.1 r-lintr@3.3.0-1 r-glue@1.8.0 r-fs@1.6.6 r-config@0.3.2 r-cli@3.6.5 r-callr@3.7.6 r-box-lsp@0.1.3 r-box-linters@0.10.7 r-box@1.2.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://appsilon.github.io/rhino/
Licenses: LGPL 3
Build system: r
Synopsis: Framework for Enterprise Shiny Applications
Description:

This package provides a framework that supports creating and extending enterprise Shiny applications using best practices.

r-relectoral 0.1.0
Propagated dependencies: r-xlsx@0.6.5 r-sf@1.0-23 r-rmarkdown@2.30 r-readxl@1.4.5 r-ggplot2@4.0.1 r-ggforce@0.5.0 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=Relectoral
Licenses: GPL 2
Build system: r
Synopsis: Electoral Analysis
Description:

This package provides functions to obtain an important number of electoral indicators described in the package, which can be divided into two large sections: The first would be the one containing the indicators of electoral disproportionality, such as, Rae index, Loosemoreâ Hanby index, etc. The second group is intended to study the dimensions of the party system vote, through the indicators of electoral fragmentation, polarization, volatility, etc. Moreover, multiple seat allocation simulations can also be performed based on different allocation systems, such as the D'Hondt method, Sainte-Laguë, etc. Finally, some of these functions have been built so that, if the user wishes, the data provided by the Spanish Ministry of Home Office for different electoral processes held in Spain can be obtained automatically. All the above will allow the users to carry out deep studies on the results obtained in any type of electoral process. The methods are described in: Oñate, Pablo and Ocaña, Francisco A. (1999, ISBN:9788474762815); Ruiz Rodrà guez, Leticia M. and Otero Felipe, Patricia (2011, ISBN:9788474766226).

r-rpinterest 0.3.1
Propagated dependencies: r-rjson@0.2.23 r-magrittr@2.0.4 r-httr@1.4.7
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rpinterest
Licenses: GPL 3
Build system: r
Synopsis: Access Pinterest API
Description:

Get information (boards, pins and users) from the Pinterest <http://www.pinterest.com> API.

r-rdwplus 1.0.1
Propagated dependencies: r-stringr@1.6.0 r-stars@0.6-8 r-sf@1.0-23 r-rgrass@0.5-3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rdwplus
Licenses: GPL 3
Build system: r
Synopsis: Inverse Distance Weighted Percent Land Use for Streams
Description:

Compute spatially explicit land-use metrics for stream survey sites in GRASS GIS and R as an open-source implementation of IDW-PLUS (Inverse Distance Weighted Percent Land Use for Streams). The package includes functions for preprocessing digital elevation and streams data, and one function to compute all the spatially explicit land use metrics described in Peterson et al. (2011) <doi:10.1111/j.1365-2427.2010.02507.x> and previously implemented by Peterson and Pearse (2017) <doi:10.1111/1752-1688.12558> in ArcGIS-Python as IDW-PLUS.

r-rdhonest 1.0.1
Propagated dependencies: r-withr@3.0.2 r-formula@1.2-5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/kolesarm/RDHonest
Licenses: GPL 3
Build system: r
Synopsis: Honest Inference in Regression Discontinuity Designs
Description:

Honest and nearly-optimal confidence intervals in fuzzy and sharp regression discontinuity designs and for inference at a point based on local linear regression. The implementation is based on Armstrong and Kolesár (2018) <doi:10.3982/ECTA14434>, and Kolesár and Rothe (2018) <doi:10.1257/aer.20160945>. Supports covariates, clustering, and weighting.

r-rrtcs 0.0.4
Propagated dependencies: r-samplingvarest@1.5 r-sampling@2.11
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RRTCS
Licenses: GPL 2+
Build system: r
Synopsis: Randomized Response Techniques for Complex Surveys
Description:

Point and interval estimation of linear parameters with data obtained from complex surveys (including stratified and clustered samples) when randomization techniques are used. The randomized response technique was developed to obtain estimates that are more valid when studying sensitive topics. Estimators and variances for 14 randomized response methods for qualitative variables and 7 randomized response methods for quantitative variables are also implemented. In addition, some data sets from surveys with these randomization methods are included in the package.

r-rgraphics 3.0-2
Propagated dependencies: r-lattice@0.22-7 r-grimport2@0.3-3 r-grimport@0.9-7 r-gridsvg@1.7-7 r-gridgraphics@0.5-1 r-gridbase@0.4-7 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://www.stat.auckland.ac.nz/~paul/RG3e/index.html
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Data and Functions from the Book R Graphics, Third Edition
Description:

Data and Functions from the book R Graphics, Third Edition. There is a function to produce each figure in the book, plus several functions, classes, and methods defined in Chapter 8.

r-rmsb 1.1-2
Propagated dependencies: r-survival@3.8-3 r-stanheaders@2.32.10 r-rstan@2.32.7 r-rms@8.1-0 r-rcppparallel@5.1.11-1 r-rcppeigen@0.3.4.0.2 r-rcpp@1.1.0 r-mass@7.3-65 r-loo@2.8.0 r-knitr@1.50 r-hmisc@5.2-4 r-ggplot2@4.0.1 r-digest@0.6.39 r-cluster@2.1.8.1 r-bh@1.87.0-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://hbiostat.org/R/rmsb/
Licenses: GPL 3+
Build system: r
Synopsis: Bayesian Regression Modeling Strategies
Description:

This package provides a Bayesian companion to the rms package, rmsb provides Bayesian model fitting, post-fit estimation, and graphics. It implements Bayesian regression models whose fit objects can be processed by rms functions such as contrast()', summary()', Predict()', nomogram()', and latex()'. The fitting function currently implemented in the package is blrm() for Bayesian logistic binary and ordinal regression with optional clustering, censoring, and departures from the proportional odds assumption using the partial proportional odds model of Peterson and Harrell (1990) <https://www.jstor.org/stable/2347760>.

r-rldcp 1.0.2
Propagated dependencies: r-xml@3.99-0.20
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: http://phedes.com/rLDCP
Licenses: GPL 2+ FSDG-compatible
Build system: r
Synopsis: Text Generation from Data
Description:

Linguistic Descriptions of Complex Phenomena (LDCP) is an architecture and methodology that allows us to model complex phenomena, interpreting input data, and generating automatic text reports customized to the user needs (see <doi:10.1016/j.ins.2016.11.002> and <doi:10.1007/s00500-016-2430-5>). The proposed package contains a set of methods that facilitates the development of LDCP systems. It main goal is increasing the visibility and practical use of this research line.

r-rbmf 1.1
Propagated dependencies: r-rcpp@1.1.0 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rBMF
Licenses: GPL 3
Build system: r
Synopsis: Boolean Matrix Factorization
Description:

This package provides four boolean matrix factorization (BMF) methods. BMF has many applications like data mining and categorical data analysis. BMF is also known as boolean matrix decomposition (BMD) and was found to be an NP-hard (non-deterministic polynomial-time) problem. Currently implemented methods are Asso Miettinen, Pauli and others (2008) <doi:10.1109/TKDE.2008.53>, GreConD R. Belohlavek, V. Vychodil (2010) <doi:10.1016/j.jcss.2009.05.002> , GreConDPlus R. Belohlavek, V. Vychodil (2010) <doi:10.1016/j.jcss.2009.05.002> , topFiberM A. Desouki, M. Roeder, A. Ngonga (2019) <arXiv:1903.10326>.

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