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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-vsusp 1.0.0
Propagated dependencies: r-bayesreg@1.3
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://github.com/nilson01/VsusP-variable-selection-using-shrinkage-priors
Licenses: GPL 3+
Build system: r
Synopsis: Variable Selection using Shrinkage Priors
Description:

Bayesian variable selection using shrinkage priors to identify significant variables in high-dimensional datasets. The package includes methods for determining the number of significant variables through innovative clustering techniques of posterior distributions, specifically utilizing the 2-Means and Sequential 2-Means (S2M) approaches. The package aims to simplify the variable selection process with minimal tuning required in statistical analysis.

r-vared 1.0.0
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=VarED
Licenses: GPL 2
Build system: r
Synopsis: Variance Estimation using Difference-Based Methods
Description:

Generating functions for both optimal and ordinary difference sequences, and the difference-based estimation functions.

r-vhcub 1.0.0
Propagated dependencies: r-stringr@1.6.0 r-seqinr@4.2-36 r-ggplot2@4.0.1 r-biostrings@2.78.0
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=vhcub
Licenses: GPL 3
Build system: r
Synopsis: Virus-Host Codon Usage Co-Adaptation Analysis
Description:

Analyze the co-adaptation of codon usage between a virus and its host, calculate various codon usage bias measurements as: effective number of codons (ENc) Novembre (2002) <doi:10.1093/oxfordjournals.molbev.a004201>, codon adaptation index (CAI) Sharp and Li (1987) <doi:10.1093/nar/15.3.1281>, relative codon deoptimization index (RCDI) Puigbò et al (2010) <doi:10.1186/1756-0500-3-87>, similarity index (SiD) Zhou et al (2013) <doi:10.1371/journal.pone.0077239>, synonymous codon usage orderliness (SCUO) Wan et al (2004) <doi:10.1186/1471-2148-4-19> and, relative synonymous codon usage (RSCU) Sharp et al (1986) <doi:10.1093/nar/14.13.5125>. Also, it provides a statistical dinucleotide over- and underrepresentation with three different models. Implement several methods for visualization of codon usage as ENc.GC3plot() and PR2.plot().

r-validmind 0.1.2
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://github.com/validmind/developer-framework
Licenses: AGPL 3
Build system: r
Synopsis: Interface to the 'ValidMind' Platform
Description:

Deploy, execute, and analyze the results of models hosted on the ValidMind platform <https://validmind.com>. This package interfaces with the Python client library in order to allow advanced diagnostics and insight into trained models all from an R environment.

r-vctsfr 0.1.1
Propagated dependencies: r-shiny@1.11.1 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://github.com/franciscomartinezdelrio/vctsfr
Licenses: Expat
Build system: r
Synopsis: Visualizing Collections of Time Series Forecasts
Description:

This package provides a way of visualizing collections of time series and, optionally their future values, forecasts for their future values and prediction intervals for the forecasts. A web-based GUI can be used to display the information in a collection of time series.

r-viewpoly 0.4.1
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://github.com/mmollina/viewpoly
Licenses: GPL 3+
Build system: r
Synopsis: Shiny App to Visualize Genetic Maps and QTL Analysis in Polyploid Species
Description:

This package provides a graphical user interface to integrate, visualize and explore results from linkage and quantitative trait loci analysis, together with genomic information for autopolyploid species. The app is meant for interactive use and allows users to optionally upload different sources of information, including gene annotation and alignment files, enabling the exploitation and search for candidate genes in a genome browser. In its current version, VIEWpoly supports inputs from MAPpoly', polymapR', diaQTL', QTLpoly', polyqtlR', GWASpoly', and HIDECAN packages.

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-vc2copula 0.1.6
Propagated dependencies: r-vinecopula@2.6.1 r-copula@1.1-7
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://github.com/tnagler/VC2copula
Licenses: GPL 3
Build system: r
Synopsis: Extend the 'copula' Package with Families and Models from 'VineCopula'
Description:

This package provides new classes for (rotated) BB1, BB6, BB7, BB8, and Tawn copulas, extends the existing Gumbel and Clayton families with rotations, and allows to set up a vine copula model using the copula API. Corresponding objects from the VineCopula API can easily be converted.

r-vegawidget 0.5.0
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://vegawidget.github.io/vegawidget/
Licenses: Expat
Build system: r
Synopsis: 'Htmlwidget' for 'Vega' and 'Vega-Lite'
Description:

Vega and Vega-Lite parse text in JSON notation to render chart-specifications into HTML'. This package is used to facilitate the rendering. It also provides a means to interact with signals, events, and datasets in a Vega chart using JavaScript or Shiny'.

r-vewaningvariant 1.4
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=VEwaningVariant
Licenses: GPL 2
Build system: r
Synopsis: Vaccine Efficacy Over Time - Variant Aware
Description:

This package implements methods for inference on potential waning of vaccine efficacy and for estimation of vaccine efficacy at a user-specified time after vaccination based on data from a randomized, double-blind, placebo-controlled vaccine trial in which participants may be unblinded and placebo subjects may be crossed over to the study vaccine. The methods also for variant stratification and allow adjustment for possible confounding via inverse probability weighting through specification of models for the trial entry process, unblinding mechanisms, and the probability an unblinded placebo participant accepts study vaccine.

r-visreg 2.8.0
Propagated dependencies: r-lattice@0.22-7
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://pbreheny.github.io/visreg/
Licenses: GPL 3
Build system: r
Synopsis: Visualization of Regression Models
Description:

This package provides a convenient interface for constructing plots to visualize the fit of regression models arising from a wide variety of models in R ('lm', glm', coxph', rlm', gam', locfit', lmer', randomForest', etc.).

r-vfprogression 0.7.1
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=vfprogression
Licenses: GPL 2+
Build system: r
Synopsis: Visual Field (VF) Progression Analysis and Plotting Methods
Description:

Realization of published methods to analyze visual field (VF) progression. Introduction to the plotting methods (designed by author TE) for VF output visualization. A sample dataset for two eyes, each with 10 follow-ups is included. The VF analysis methods could be found in -- Musch et al. (1999) <doi:10.1016/S0161-6420(99)90147-1>, Nouri-Mahdavi et at. (2012) <doi:10.1167/iovs.11-9021>, Schell et at. (2014) <doi:10.1016/j.ophtha.2014.02.021>, Aptel et al. (2015) <doi:10.1111/aos.12788>.

r-vaccine 1.3.1
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://avi-kenny.github.io/vaccine/
Licenses: GPL 3
Build system: r
Synopsis: Statistical Tools for Immune Correlates Analysis of Vaccine Clinical Trial Data
Description:

Various semiparametric and nonparametric statistical tools for immune correlates analysis of vaccine clinical trial data. This includes calculation of summary statistics and estimation of risk, vaccine efficacy, controlled effects (controlled risk and controlled vaccine efficacy), and mediation effects (natural direct effect, natural indirect effect, proportion mediated). See Gilbert P, Fong Y, Kenny A, and Carone, M (2022) <doi:10.1093/biostatistics/kxac024> and Fay MP and Follmann DA (2023) <doi:10.48550/arXiv.2208.06465>.

r-virf 0.1.1
Propagated dependencies: r-rmgarch@1.4-2 r-mgarchbekk@0.0.5 r-matrixcalc@1.0-6 r-matlib@1.0.1 r-ks@1.15.1 r-gnm@1.1-5 r-expm@1.0-0 r-bigvar@1.1.4
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=VIRF
Licenses: GPL 2+ GPL 3+
Build system: r
Synopsis: Computation of Volatility Impulse Response Function of Multivariate Time Series
Description:

Computation of volatility impulse response function for multivariate time series model using algorithm by Jin, Lin and Tamvakis (2012) <doi:10.1016/j.eneco.2012.03.003>.

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).

r-vmdecomp 1.0.2
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://github.com/mlampros/VMDecomp
Licenses: GPL 3
Build system: r
Synopsis: Variational Mode Decomposition
Description:

RcppArmadillo implementation for the Matlab code of the Variational Mode Decomposition and Two-Dimensional Variational Mode Decomposition'. For more information, see (i) Variational Mode Decomposition by K. Dragomiretskiy and D. Zosso in IEEE Transactions on Signal Processing, vol. 62, no. 3, pp. 531-544, Feb.1, 2014, <doi:10.1109/TSP.2013.2288675>; (ii) Two-Dimensional Variational Mode Decomposition by Dragomiretskiy, K., Zosso, D. (2015), In: Tai, XC., Bae, E., Chan, T.F., Lysaker, M. (eds) Energy Minimization Methods in Computer Vision and Pattern Recognition. EMMCVPR 2015. Lecture Notes in Computer Science, vol 8932. Springer, <doi:10.1007/978-3-319-14612-6_15>.

r-vfunc 1.0
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=vfunc
Licenses: GPL 2
Build system: r
Synopsis: Manipulate Virtual Functions
Description:

If f <- function(x)x^2 and g <- function(x)x+1 it is a constant source of annoyance that "f+g" is not defined. Package vfunc allows you to do this, and we have (f+g)(2) returning 5. The other arithmetic operators are similarly implemented. A wide class of coding bugs is eliminated.

r-vbms 1.0.0
Propagated dependencies: r-selectiveinference@1.2.5 r-pracma@2.4.6 r-mass@7.3-65
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=VBMS
Licenses: Expat
Build system: r
Synopsis: Variational Bayesian Algorithm for Multi-Source Heterogeneous Models
Description:

This package provides a Variational Bayesian algorithm for high-dimensional multi-source heterogeneous linear models. More details have been written up in a paper submitted to the journal Statistics in Medicine, and the details of variational Bayesian methods can be found in Ray and Szabo (2021) <doi:10.1080/01621459.2020.1847121>. It simultaneously performs parameter estimation and variable selection. The algorithm supports two model settings: (1) local models, where variable selection is only applied to homogeneous coefficients, and (2) global models, where variable selection is also performed on heterogeneous coefficients. Two forms of Spike-and-Slab priors are available: the Laplace distribution and the Gaussian distribution as the Slab component.

r-vegdata 1.9.15
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://git.loe.auf.uni-rostock.de/jansen/vegdata.git
Licenses: GPL 2+
Build system: r
Synopsis: Access Vegetation Databases and Treat Taxonomy
Description:

Handling of vegetation data from different sources ( Turboveg 2.0 <https://www.synbiosys.alterra.nl/turboveg/>; the German national repository <https://www.vegetweb.de> and others. Taxonomic harmonization (given appropriate taxonomic lists, e.g. the Euro+Med list <https://eurosl.infinitenature.org>).

r-varsel 0.2
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=varSel
Licenses: GPL 3
Build system: r
Synopsis: Sequential Forward Floating Selection using Jeffries-Matusita Distance
Description:

Feature selection using Sequential Forward Floating feature Selection and Jeffries-Matusita distance. It returns a suboptimal set of features to use for image classification. Reference: Dalponte, M., Oerka, H.O., Gobakken, T., Gianelle, D. & Naesset, E. (2013). Tree Species Classification in Boreal Forests With Hyperspectral Data. IEEE Transactions on Geoscience and Remote Sensing, 51, 2632-2645, <DOI:10.1109/TGRS.2012.2216272>.

r-vsolassobag 1.0
Propagated dependencies: r-survival@3.8-3 r-summarizedexperiment@1.40.0 r-pot@1.1-11 r-pbapply@1.7-4 r-glmnet@4.1-10 r-ggplot2@4.0.1
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=VSOLassoBag
Licenses: GPL 3
Build system: r
Synopsis: Variable Selection Oriented LASSO Bagging Algorithm
Description:

This package provides a wrapped LASSO approach by integrating an ensemble learning strategy to help select efficient, stable, and high confidential variables from omics-based data. Using a bagging strategy in combination of a parametric method or inflection point search method for cut-off threshold determination. This package can integrate and vote variables generated from multiple LASSO models to determine the optimal candidates. Luo H, Zhao Q, et al (2020) <doi:10.1126/scitranslmed.aax7533> for more details.

r-vandalico 0.2.1
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=vandalico
Licenses: GPL 3
Build system: r
Synopsis: Evaluation of Presence-Absence Models
Description:

Collection of functions to evaluate presence-absence models. It comprises functions to adjust discrimination statistics for the representativeness effect through case-weighting, along with functions for visualizing the outcomes. Originally outlined in: Jiménez-Valverde (2022) The uniform AUC: dealing with the representativeness effect in presence-absence models. Methods Ecol. Evol, 13, 1224-1236.

r-vws 0.3.0
Propagated dependencies: r-rcpp@1.1.0 r-fntl@0.1.2
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://github.com/andrewraim/vws
Licenses: Expat
Build system: r
Synopsis: Vertical Weighted Strips
Description:

This package provides a reference implementation of the Vertical Weighted Strips method explored by Raim, Livsey, and Irimata (2025) <doi:10.48550/arXiv.2401.09696> for rejection sampling.

r-valmetrics 1.0.0
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=valmetrics
Licenses: Expat
Build system: r
Synopsis: Metrics and Plots for Model Evaluation
Description:

This package provides functions for metrics and plots for model evaluation. Based on vectors of observed and predicted values. Method: Kristin Piikki, Johanna Wetterlind, Mats Soderstrom and Bo Stenberg (2021). <doi:10.1111/SUM.12694>.

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