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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-rutifier 1.0.4
Propagated dependencies: r-r-utils@2.13.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rutifier
Licenses: Expat
Build system: r
Synopsis: Chilean Rol Unico Tributario
Description:

This package provides a RUT (Rol Unico Tributario) is an unique and personal identification number implemented in Chile to identify citizens and taxpayers. Rutifier allows to validate if a RUT exist or not and change between the different formats a RUT can have.

r-rankinma 0.2.2
Propagated dependencies: r-netmeta@3.3-1 r-mvtnorm@1.3-3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://rankinma.shinyapps.io/rankinma/
Licenses: GPL 3+
Build system: r
Synopsis: Rank in Network Meta-Analysis
Description:

This package provides a supportive collection of functions for gathering and plotting treatment ranking metrics after network meta-analysis.

r-relsim 1.0.0
Propagated dependencies: r-xtable@1.8-4 r-xml2@1.5.0 r-stringr@1.6.0 r-rvest@1.0.5 r-rcpp@1.1.0 r-multicool@1.0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=relSim
Licenses: GPL 2+
Build system: r
Synopsis: Relative Simulator
Description:

This package provides a set of tools to explore the behaviour statistics used for forensic DNA interpretation when close relatives are involved. The package also offers some useful tools for exploring other forensic DNA situations.

r-restorenet 1.0.1
Propagated dependencies: r-xtable@1.8-4 r-stringr@1.6.0 r-scatterpie@0.2.6 r-scales@1.4.0 r-rcolorbrewer@1.1-3 r-matrix@1.7-4 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RestoreNet
Licenses: GPL 3
Build system: r
Synopsis: Random-Effects Stochastic Reaction Networks
Description:

This package provides a random-effects stochastic model that allows quick detection of clonal dominance events from clonal tracking data collected in gene therapy studies. Starting from the Ito-type equation describing the dynamics of cells duplication, death and differentiation at clonal level, we first considered its local linear approximation as the base model. The parameters of the base model, which are inferred using a maximum likelihood approach, are assumed to be shared across the clones. Although this assumption makes inference easier, in some cases it can be too restrictive and does not take into account possible scenarios of clonal dominance. Therefore we extended the base model by introducing random effects for the clones. In this extended formulation the dynamic parameters are estimated using a tailor-made expectation maximization algorithm. Further details on the methods can be found in L. Del Core et al., (2022) <doi:10.1101/2022.05.31.494100>.

r-radialvisgadgets 0.2.0
Propagated dependencies: r-tidyr@1.3.1 r-shinyscreenshot@0.2.1 r-shinyjs@2.1.0 r-shiny@1.11.1 r-rlang@1.1.6 r-miniui@0.1.2 r-import@1.3.4 r-ggplot2@4.0.1 r-dplyr@1.1.4 r-caret@7.0-1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/jmatute/RadialShinyGadgets
Licenses: Expat
Build system: r
Synopsis: Interactive Gadgets for Radial Visualization Approaches
Description:

Shiny-based interactive gadgets of radial visualization methods and extensions thereof.

r-rivernet 1.2.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=rivernet
Licenses: GPL 3
Build system: r
Synopsis: Read, Analyze and Plot River Networks
Description:

This package provides functions for reading, analysing and plotting river networks. For this package, river networks consist of sections and nodes with associated attributes, e.g. to characterise their morphological, chemical and biological state. The package provides functions to read this data from text files, to analyse the network structure and network paths and regions consisting of sections and nodes that fulfill prescribed criteria, and to plot the river network and associated properties.

r-reliar 0.2
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=reliaR
Licenses: GPL 2
Build system: r
Synopsis: Comprehensive Tools for some Probability Distributions
Description:

This package provides a comprehensive suite of utilities for univariate continuous probability distributions and reliability models. Includes functions to compute the probability density, cumulative distribution, quantile, reliability, and hazard functions, along with random variate generation. Also offers diagnostic and model assessment tools such as Quantile-Quantile (Q-Q) and Probability-Probability (P-P) plots, the Kolmogorov-Smirnov goodness-of-fit test, and model selection criteria including the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). Currently implements the following distributions: Burr X, Chen, Exponential Extension, Exponentiated Logistic, Exponentiated Weibull, Exponential Power, Flexible Weibull, Generalized Exponential, Gompertz, Generalized Power Weibull, Gumbel, Inverse Generalized Exponential, Linear Failure Rate, Log-Gamma, Logistic-Exponential, Logistic-Rayleigh, Log-log, Marshall-Olkin Extended Exponential, Marshall-Olkin Extended Weibull, and Weibull Extension distributions. Serves as a valuable resource for teaching and research in probability theory, reliability analysis, and applied statistical modeling.

r-rjuliabugs 0.1.0
Propagated dependencies: r-posterior@1.6.1 r-juliacall@0.17.6 r-coda@0.19-4.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://mateusmaiads.github.io/rjuliabugs/
Licenses: Expat
Build system: r
Synopsis: Interface to 'JuliaBUGS.jl' from R
Description:

This package provides an R interface to the JuliaBUGS.jl package (<https://github.com/TuringLang/JuliaBUGS.jl>) for Bayesian inference using the BUGS modeling language. Allows R users to run models in Julia and return results as familiar R objects. Visualization and posterior analysis are supported via the bayesplot and posterior packages.

r-rsqlite-toolkit 0.1.1
Propagated dependencies: r-rsqlite@2.4.4 r-openxlsx2@1.25 r-dbi@1.2.3 r-arrow@22.0.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/fab-algo/RSQLite.toolkit
Licenses: GPL 3+
Build system: r
Synopsis: Load Data in SQLite from Tabular Files
Description:

This package provides a lightweight wrapper around the RSQLite package for streamlined loading of data from tabular files (i,e. text delimited files like Comma Separated Values and Tab Separated Values, Microsoft Excel, and Arrow Inter-process Communication files) in SQLite databases. Includes helper functions for inspecting the structure of the input files, and some functions to simplify activities on the SQLite tables.

r-rationalexp 0.2.2
Propagated dependencies: r-snowfall@1.84-6.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RationalExp
Licenses: GPL 3
Build system: r
Synopsis: Rationalizing Rational Expectations. Tests and Deviations
Description:

We implement a test of the rational expectations hypothesis based on the marginal distributions of realizations and subjective beliefs from D'Haultfoeuille, Gaillac, and Maurel (2018) <doi:10.3386/w25274>. This test can be used in cases where realizations and subjective beliefs are observed in two different datasets that cannot be matched, or when they are observed in the same dataset. The package also computes the estimator of the minimal deviations from rational expectations than can be rationalized by the data.

r-ryacas 1.1.6
Propagated dependencies: r-rcpp@1.1.0 r-magrittr@2.0.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/r-cas/ryacas
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: R Interface to the 'Yacas' Computer Algebra System
Description:

Interface to the yacas computer algebra system (<http://www.yacas.org/>).

r-rdistance 4.3.1
Propagated dependencies: r-withr@3.0.2 r-units@1.0-0 r-tidyselect@1.2.1 r-tidyr@1.3.1 r-tibble@3.3.0 r-progress@1.2.3 r-multidplyr@0.1.4 r-expint@0.1-9 r-dplyr@1.1.4 r-dfoptim@2023.1.0 r-crayon@1.5.3
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://mcdonalddata.science/Rdistance.html
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Density and Abundance from Distance-Sampling Surveys
Description:

Distance-sampling (<doi:10.1007/978-3-319-19219-2>) is a field survey and analytical method that estimates density and abundance of survey targets (e.g., animals) when detection probability declines with observation distance. Distance-sampling is popular in ecology, especially when survey targets are observed from aerial platforms (e.g., airplane or drone), surface vessels (e.g., boat or truck), or along walking transects. Analysis involves fitting smooth (parametric) curves to histograms of observation distances and using those functions to adjust density estimates for missed targets. Routines included here fit curves to observation distance histograms, estimate effective sampling area, density of targets in surveyed areas, and the abundance of targets in a surrounding study area. Confidence interval estimation uses built-in bootstrap resampling. Help files are extensive and have been vetted by multiple authors. Many tutorials are available on the package's website (URL below).

r-radir 1.0.4
Propagated dependencies: r-hermite@1.1.2
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=radir
Licenses: GPL 2+
Build system: r
Synopsis: Inverse-Regression Estimation of Radioactive Doses
Description:

Radioactive doses estimation using individual chromosomal aberrations information. See Higueras M, Puig P, Ainsbury E, Rothkamm K. (2015) <doi:10.1088/0952-4746/35/3/557>.

r-r2mlm 0.3.8
Propagated dependencies: r-tidyselect@1.2.1 r-stringr@1.6.0 r-rockchalk@1.8.157 r-rlang@1.1.6 r-nlme@3.1-168 r-magrittr@2.0.4 r-lme4@1.1-37 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/mkshaw/r2mlm
Licenses: GPL 3
Build system: r
Synopsis: R-Squared Measures for Multilevel Models
Description:

Generates both total- and level-specific R-squared measures from Rights and Sterbaâ s (2019) <doi:10.1037/met0000184> framework of R-squared measures for multilevel models with random intercepts and/or slopes, which is based on a complete decomposition of variance. Additionally generates graphical representations of these R-squared measures to allow visualizing and interpreting all measures in the framework together as an integrated set. This framework subsumes 10 previously-developed R-squared measures for multilevel models as special cases of 5 measures from the framework, and it also includes several newly-developed measures. Measures in the framework can be used to compute R-squared differences when comparing multilevel models (following procedures in Rights & Sterba (2020) <doi:10.1080/00273171.2019.1660605>). Bootstrapped confidence intervals can also be calculated. To use the confidence interval functionality, download bootmlm from <https://github.com/marklhc/bootmlm>.

r-robustbayesiancopas 2.0
Propagated dependencies: r-statip@0.2.3 r-rjags@4-17
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RobustBayesianCopas
Licenses: GPL 3
Build system: r
Synopsis: Robust Bayesian Copas Selection Model
Description:

Fits the robust Bayesian Copas (RBC) selection model of Bai et al. (2020) <arXiv:2005.02930> for correcting and quantifying publication bias in univariate meta-analysis. Also fits standard random effects meta-analysis and the Copas-like selection model of Ning et al. (2017) <doi:10.1093/biostatistics/kxx004>.

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>.

r-reportsubtotal 0.1.2
Propagated dependencies: r-tidyselect@1.2.1 r-magrittr@2.0.4 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=ReportSubtotal
Licenses: Expat
Build system: r
Synopsis: Adds Subtotals to Data Reports
Description:

Adds subtotal rows / sections (a la the SAS Proc Tabulate All option) to a Group By output by running a series of Group By functions with partial sets of the same variables and combining the results with the original. Can be used to add comprehensive information to a data report or to quickly aggregate Group By outputs used to gain a greater understanding of data.

r-rsynthbio 4.1.0
Propagated dependencies: r-keyring@1.4.1 r-jsonlite@2.0.0 r-httr@1.4.7 r-getpass@0.2-4
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/synthesizebio/rsynthbio
Licenses: Expat
Build system: r
Synopsis: Synthesize Bio API Wrapper
Description:

Access Synthesize Bio models from their API <https://app.synthesize.bio/> using this wrapper that provides a convenient interface to the Synthesize Bio API, allowing users to generate realistic gene expression data based on specified biological conditions. This package enables researchers to easily access AI-generated transcriptomic data for various modalities including bulk RNA-seq, single-cell RNA-seq, microarray data, and more.

r-ra4bayesmeta 1.0-8
Propagated dependencies: r-bayesmeta@3.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=ra4bayesmeta
Licenses: GPL 2+
Build system: r
Synopsis: Reference Analysis for Bayesian Meta-Analysis
Description:

Functionality for performing a principled reference analysis in the Bayesian normal-normal hierarchical model used for Bayesian meta-analysis, as described in Ott, Plummer and Roos (2021) <doi:10.1002/sim.9076>. Computes a reference posterior, induced by a minimally informative improper reference prior for the between-study (heterogeneity) standard deviation. Determines additional proper anti-conservative (and conservative) prior benchmarks. Includes functions for reference analyses at both the posterior and the prior level, which, given the data, quantify the informativeness of a heterogeneity prior of interest relative to the minimally informative reference prior and the proper prior benchmarks. The functions operate on data sets which are compatible with the bayesmeta package.

r-rkeajars 5.0-4
Dependencies: openjdk@25
Propagated dependencies: r-rjava@1.0-11
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=RKEAjars
Licenses: GPL 2
Build system: r
Synopsis: R/KEA Interface Jars
Description:

External jars required for package RKEA.

r-roi-models-globalopttests 1.1-2
Propagated dependencies: r-roi@1.0-1 r-globalopttests@1.1
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://cran.r-project.org/package=ROI.models.globalOptTests
Licenses: GPL 3
Build system: r
Synopsis: 'ROI' Optimization Problems Based on 'globalOptTests'
Description:

This package provides a collection of non-linear optimization problems with box bounds transformed into ROI optimization problems. This package provides a wrapper around the globalOptTests which provides a collection of global optimization problems. More information can be found in the README file.

r-r4subcore 0.1.0
Propagated dependencies: r-rlang@1.1.6 r-jsonlite@2.0.0 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/R4SUB/r4subcore
Licenses: Expat
Build system: r
Synopsis: Core Data Contracts, Parsers, and Scoring Primitives for Clinical Submission Readiness
Description:

Foundational package in the R4SUB (R for Regulatory Submission) ecosystem. Defines the core evidence table schema, parsers, indicator abstractions, and scoring primitives needed to quantify clinical submission readiness. Provides a standardized contract for ingesting heterogeneous sources (validation outputs, metadata, traceability) into a single evidence framework.

r-rtmpinv 0.2.0
Propagated dependencies: r-rclsp@0.4.0
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/econcz/rtmpinv
Licenses: Expat
Build system: r
Synopsis: Tabular Matrix Problems via Pseudoinverse Estimation
Description:

The Tabular Matrix Problems via Pseudoinverse Estimation (TMPinv) is a two-stage estimation method that reformulates structured table-based systems - such as allocation problems, transaction matrices, and input-output tables - as structured least-squares problems. Based on the Convex Least Squares Programming (CLSP) framework, TMPinv solves systems with row and column constraints, block structure, and optionally reduced dimensionality by (1) constructing a canonical constraint form and applying a pseudoinverse-based projection, followed by (2) a convex-programming refinement stage to improve fit, coherence, and regularization (e.g., via Lasso, Ridge, or Elastic Net).

r-rfold 0.2.0
Propagated dependencies: r-usethis@3.2.1 r-here@1.0.2 r-glue@1.8.0 r-fs@1.6.6 r-cli@3.6.5
Channel: guix-cran
Location: guix-cran/packages/r.scm (guix-cran packages r)
Home page: https://github.com/feddelegrand7/rfold
Licenses: Expat
Build system: r
Synopsis: Working with many R Folders Within an R Package
Description:

Allows developers to work with many R folders inside a package. It offers functionalities to transfer R scripts (saved outside the R folder) into the R folder while making additional checks.

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