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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-vecdep 0.1.3
Propagated dependencies: r-sets@1.0-25 r-rmpfr@1.1-2 r-reticulate@1.44.1 r-pbapply@1.7-4 r-magic@1.6-1 r-hash@2.2.6.3 r-hac@1.1-2 r-gtools@3.9.5 r-expm@1.0-0 r-elliptcopulas@0.1.4.1 r-covglasso@1.0.3
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://github.com/StevenDeKeyser98/VecDep
Licenses: GPL 3
Build system: r
Synopsis: Measuring Copula-Based Dependence Between Random Vectors
Description:

This package provides functions for estimation (parametric, semi-parametric and non-parametric) of copula-based dependence coefficients between a finite collection of random vectors, including phi-dependence measures and Bures-Wasserstein dependence measures. An algorithm for agglomerative hierarchical variable clustering is also implemented. Following the articles De Keyser & Gijbels (2024) <doi:10.1016/j.jmva.2024.105336>, De Keyser & Gijbels (2024) <doi:10.1016/j.ijar.2023.109090>, and De Keyser & Gijbels (2024) <doi:10.48550/arXiv.2404.07141>.

r-vcmeta 1.5.0
Propagated dependencies: r-rdpack@2.6.4 r-mathjaxr@1.8-0 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://github.com/dgbonett/vcmeta/
Licenses: GPL 3
Build system: r
Synopsis: Varying Coefficient Meta-Analysis
Description:

This package implements functions for varying coefficient meta-analysis methods. These methods do not assume effect size homogeneity. Subgroup effect size comparisons, general linear effect size contrasts, and linear models of effect sizes based on varying coefficient methods can be used to describe effect size heterogeneity. Varying coefficient meta-analysis methods do not require the unrealistic assumptions of the traditional fixed-effect and random-effects meta-analysis methods. For details see: Statistical Methods for Psychologists, Volume 5, <https://dgbonett.sites.ucsc.edu/>.

r-virtualpop 2.1.0
Propagated dependencies: r-msm@1.8.2 r-hmdhfdplus@2.0.8
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=VirtualPop
Licenses: GPL 2
Build system: r
Synopsis: Simulation of Populations by Sampling Waiting-Time Distributions
Description:

Constructs a virtual population from fertility and mortality rates for any country, calendar year and birth cohort in the Human Mortality Database <https://www.mortality.org> and the Human Fertility Database <https://www.humanfertility.org>. Fertility histories are simulated for every individual and their offspring, producing a multi-generation virtual population.

r-valottery 0.0.1
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=valottery
Licenses: CC0
Build system: r
Synopsis: Results from the Virginia Lottery Draw Games
Description:

Historical results for the state of Virginia lottery draw games. Data were downloaded from https://www.valottery.com/.

r-vmsae 0.1.2
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://github.com/zhenhua-wang/vmsae
Licenses: Expat
Build system: r
Synopsis: Variational Multivariate Spatial Small Area Estimation
Description:

Variational Autoencoded Multivariate Spatial Fay-Herriot models are designed to efficiently estimate population parameters in small area estimation. This package implements the variational generalized multivariate spatial Fay-Herriot model (VGMSFH) using NumPyro and PyTorch backends, as demonstrated by Wang, Parker, and Holan (2025) <doi:10.48550/arXiv.2503.14710>. The vmsae package provides utility functions to load weights of the pretrained variational autoencoders (VAEs) as well as tools to train custom VAEs tailored to users specific applications.

r-vazul 1.1.0
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://nthun.github.io/vazul/
Licenses: Expat
Build system: r
Synopsis: Analysis Blinding Tools
Description:

This package provides tools for analysis blinding in confirmatory research contexts by masking and scrambling test-relevant aspects of data. Vector-, data frame-, and row-wise operations support blinding for hierarchical and repeated-measures designs. For more details see MacCoun and Perlmutter (2015) <doi:10.1038/526187a> and Dutilh, Sarafoglou, and Wagenmakers (2019) <doi:10.1007/s11229-019-02456-7>.

r-viztest 0.7
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=VizTest
Licenses: Expat
Build system: r
Synopsis: Optimal Confidence Intervals for Visual Testing
Description:

Identifies the optimal confidence level to represent the results of a set of pairwise tests as suggested by Armstrong and Poirier (2025) <doi:10.1017/pan.2024.24>.

r-verbalisr 0.7.2
Propagated dependencies: r-ribd@1.7.1 r-pedtools@2.10.0
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://github.com/magnusdv/verbalisr
Licenses: GPL 3
Build system: r
Synopsis: Describe Pedigree Relationships in Words
Description:

Describe in words the genealogical relationship between two members of a given pedigree, using the algorithm in Vigeland (2022) <doi:10.1186/s12859-022-04759-y>. verbalisr is part of the pedsuite collection of packages for pedigree analysis. For a demonstration of verbalisr', see the online app QuickPed at <https://magnusdv.shinyapps.io/quickped>.

r-vhica 0.2.9
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=vhica
Licenses: GPL 2
Build system: r
Synopsis: Vertical and Horizontal Inheritance Consistence Analysis
Description:

The "Vertical and Horizontal Inheritance Consistence Analysis" method is described in the following publication: "VHICA: a new method to discriminate between vertical and horizontal transposon transfer: application to the mariner family within Drosophila" by G. Wallau. et al. (2016) <DOI:10.1093/molbev/msv341>. The purpose of the method is to detect horizontal transfers of transposable elements, by contrasting the divergence of transposable element sequences with that of regular genes.

r-vdpo 0.1.0
Propagated dependencies: r-sop@1.0-1 r-matrix@1.7-4
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://pavel-hernadez-amaro.github.io/VDPO/
Licenses: Expat
Build system: r
Synopsis: Working with and Analyzing Functional Data of Varying Lengths
Description:

Comprehensive set of tools for analyzing and manipulating functional data with non-uniform lengths. This package addresses two common scenarios in functional data analysis: Variable Domain Data, where the observation domain differs across samples, and Partially Observed Data, where observations are incomplete over the domain of interest. VDPO enhances the flexibility and applicability of functional data analysis in R'. See Amaro et al. (2024) <doi:10.48550/arXiv.2401.05839>.

r-vbtree 0.1.1
Propagated dependencies: r-tensora@0.36.2.1
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://github.com/CubicZebra/VBTree
Licenses: GPL 3
Build system: r
Synopsis: Vector Binary Tree to Make Your Data Management More Efficient
Description:

Vector binary tree provides a new data structure, to make your data visiting and management more efficient. If the data has structured column names, it can read these names and factorize them through specific split pattern, then build the mappings within double list, vector binary tree, array and tensor mutually, through which the batched data processing is achievable easily. The methods of array and tensor are also applicable. Detailed methods are described in Chen Zhang et al. (2020) <doi:10.35566/isdsa2019c8>.

r-vegtable 0.1.10
Propagated dependencies: r-vegdata@1.9.15 r-taxlist@0.3.5 r-stringi@1.8.7 r-sp@2.2-0 r-qdapregex@0.7.10 r-foreign@0.8-90
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://github.com/kamapu/vegtable
Licenses: GPL 2+
Build system: r
Synopsis: Handling Vegetation Data Sets
Description:

Import and handling data from vegetation-plot databases, especially data stored in Turboveg 2 (<https://www.synbiosys.alterra.nl/turboveg/>). Also import/export routines for exchange of data with Juice (<https://www.sci.muni.cz/botany/juice/>) are implemented.

r-variantspark 0.1.1
Propagated dependencies: r-sparklyr@1.9.3
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=variantspark
Licenses: ASL 2.0 FSDG-compatible
Build system: r
Synopsis: 'Sparklyr' Extension for 'VariantSpark'
Description:

This is a sparklyr extension integrating VariantSpark and R. VariantSpark is a framework based on scala and spark to analyze genome datasets, see <https://bioinformatics.csiro.au/>. It was tested on datasets with 3000 samples each one containing 80 million features in either unsupervised clustering approaches and supervised applications, like classification and regression. The genome datasets are usually writing in VCF, a specific text file format used in bioinformatics for storing gene sequence variations. So, VariantSpark is a great tool for genome research, because it is able to read VCF files, run analyses and return the output in a spark data frame.

r-vimean 0.1.0
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=VIMean
Licenses: GPL 3
Build system: r
Synopsis: Variability Independent of Mean
Description:

To computed the variability independent of mean (VIM) or variation independent of mean (VIM). The methodology can be found at Peter M Rothwell et al. (2010) <doi:10.1016/S1474-4422(10)70067-3>.

r-vistla 2.1.2
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://gitlab.com/mbq/vistla
Licenses: GPL 3+
Build system: r
Synopsis: Detecting Influence Paths with Information Theory
Description:

Traces information spread through interactions between features, utilising information theory measures and a higher-order generalisation of the concept of widest paths in graphs. In particular, vistla can be used to better understand the results of high-throughput biomedical experiments, by organising the effects of the investigated intervention in a tree-like hierarchy from direct to indirect ones, following the plausible information relay circuits. Due to its higher-order nature, vistla can handle multi-modality and assign multiple roles to a single feature.

r-vectorialcalculus 1.0.5
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://github.com/JulianFajardo1908/vectorialcalculus
Licenses: Expat
Build system: r
Synopsis: Vector Calculus Tools for Visualization and Analysis
Description:

This package provides pedagogical tools for visualization and numerical computation in vector calculus. Includes functions for parametric curves, scalar and vector fields, gradients, divergences, curls, line and surface integrals, and dynamic 2D/3D graphical analysis to support teaching and learning. The implemented methods follow standard treatments in vector calculus and multivariable analysis as presented in Marsden and Tromba (2011) <ISBN:9781429215084>, Stewart (2015) <ISBN:9781285741550>, Thomas, Weir and Hass (2018) <ISBN:9780134438986>, Larson and Edwards (2016) <ISBN:9781285255869>, Apostol (1969) <ISBN:9780471000051>, Spivak (1971) <ISBN:9780805390216>, Schey (2005) <ISBN:9780071369080>, Colley (2019) <ISBN:9780321982384>, Lizarazo Osorio (2020) <ISBN:9789585450103>, Sievert (2020) <ISBN:9780367180165>, and Borowko (2013) <ISBN:9781439870791>.

r-vartest 1.3
Propagated dependencies: r-suppdists@1.1-9.9 r-psych@2.5.6
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=vartest
Licenses: GPL 2+
Build system: r
Synopsis: Tests for Variance Homogeneity
Description:

This package performs 20 omnibus tests for testing the composite hypothesis of variance homogeneity.

r-villager 2.0.0
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://github.com/zizroc/villager/
Licenses: Expat
Build system: r
Synopsis: Framework for Designing and Running Agent Based Models
Description:

This is a package for creating and running Agent Based Models (ABM). It provides a set of base classes with core functionality to allow bootstrapped models. For more intensive modeling, the supplied classes can be extended to fit researcher needs.

r-visvow 1.3.11
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://www.visiblevowels.org/
Licenses: FSDG-compatible
Build system: r
Synopsis: Visible Vowels: Visualization of Vowel Variation
Description:

Visualizes vowel variation in f0, F1, F2, F3 and duration.

r-veesa 0.1.7
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=veesa
Licenses: Expat
Build system: r
Synopsis: Pipeline for Explainable Machine Learning with Functional Data
Description:

This package implements the Variable importance Explainable Elastic Shape Analysis pipeline for explainable machine learning with functional data inputs. Converts training and testing data functional inputs to elastic shape analysis principal components that account for vertical and/or horizontal variability. Computes feature importance to identify important principal components and visualizes variability captured by functional principal components. See Goode et al. (2025) <doi:10.48550/arXiv.2501.07602> for technical details about the methodology.

r-vivaldi 1.0.1
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://github.com/GreshamLab/vivaldi
Licenses: Expat
Build system: r
Synopsis: Viral Variant Location and Diversity
Description:

Analysis of minor alleles in Illumina sequencing data of viral genomes. Functions in vivaldi primarily operate on vcf files.

r-vares 1.0.2
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=VaRES
Licenses: GPL 2+
Build system: r
Synopsis: Computes Value at Risk and Expected Shortfall for over 100 Parametric Distributions
Description:

Computes Value at risk and expected shortfall, two most popular measures of financial risk, for over one hundred parametric distributions, including all commonly known distributions. Also computed are the corresponding probability density function and cumulative distribution function. See Chan, Nadarajah and Afuecheta (2015) <doi:10.1080/03610918.2014.944658> for more details.

r-vcov 0.0.1
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://github.com/MichaelChirico/vcov
Licenses: GPL 2+ FSDG-compatible
Build system: r
Synopsis: Variance-Covariance Matrices and Standard Errors
Description:

This package provides methods for faster extraction (about 5x faster in a few test cases) of variance-covariance matrices and standard errors from models. Methods in the stats package tend to rely on the summary method, which may waste time computing other summary statistics which are summarily ignored.

r-varimp 0.4
Propagated dependencies: r-party@1.3-18 r-measures@0.3
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=varImp
Licenses: GPL 3
Build system: r
Synopsis: RF Variable Importance for Arbitrary Measures
Description:

Computes the random forest variable importance (VIMP) for the conditional inference random forest (cforest) of the party package. Includes a function (varImp) that computes the VIMP for arbitrary measures from the measures package. For calculating the VIMP regarding the measures accuracy and AUC two extra functions exist (varImpACC and varImpAUC).

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Total results: 69112