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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-vrtest 1.2
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=vrtest
Licenses: GPL 2
Build system: r
Synopsis: Variance Ratio Tests and Other Tests for Martingale Difference Hypothesis
Description:

This package provides a collection of statistical tests for martingale difference hypothesis, including automatic portmanteau test (Escansiano and Lobato, 2009) <doi:10.1016/j.jeconom.2009.03.001> and automatic variance ratio test (Kim, 2009) <doi:10.1016/j.frl.2009.04.003>.

r-voxr 1.0.0
Propagated dependencies: r-rgl@1.3.31 r-rfast@2.1.5.2 r-raster@3.6-32 r-geometry@0.5.2 r-fnn@1.1.4.1 r-fastcluster@1.3.0 r-dplyr@1.1.4 r-data-table@1.17.8 r-circular@0.5-2
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://github.com/Blecigne/VoxR
Licenses: GPL 3
Build system: r
Synopsis: Trees Geometry and Morphology from Unstructured TLS Data
Description:

This package provides tools for 3D point cloud voxelisation, projection, geometrical and morphological description of trees (DBH, height, volume, crown diameter), analyses of temporal changes between different measurement times, distance based clustering and visualisation of 3D voxel clouds and 2D projection. Most analyses and algorithms provided in the package are based on the concept of space exploration and are described in Lecigne et al. (2018, <doi:10.1093/aob/mcx095>).

r-vetiver 0.2.7
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://vetiver.posit.co
Licenses: Expat
Build system: r
Synopsis: Version, Share, Deploy, and Monitor Models
Description:

The goal of vetiver is to provide fluent tooling to version, share, deploy, and monitor a trained model. Functions handle both recording and checking the model's input data prototype, and predicting from a remote API endpoint. The vetiver package is extensible, with generics that can support many kinds of models.

r-vegalite 0.6.1
Propagated dependencies: r-webshot@0.5.5 r-magrittr@2.0.4 r-jsonlite@2.0.0 r-htmlwidgets@1.6.4 r-htmltools@0.5.8.1 r-digest@0.6.39 r-clipr@0.8.0 r-base64@2.0.2
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: http://github.com/hrbrmstr/vegalite
Licenses: FSDG-compatible
Build system: r
Synopsis: Tools to Encode Visualizations with the 'Grammar of Graphics'-Like 'Vega-Lite' 'Spec'
Description:

The Vega-Lite JavaScript framework provides a higher-level grammar for visual analysis, akin to ggplot or Tableau', that generates complete Vega specifications. Functions exist which enable building a valid spec from scratch or importing a previously created spec file. Functions also exist to export spec files and to generate code which will enable plots to be embedded in properly configured web pages. The default behavior is to generate an htmlwidget'.

r-varycoef 0.3.6
Propagated dependencies: r-spam@2.11-1 r-smoof@1.6.0.3 r-pbapply@1.7-4 r-paramhelpers@1.14.2 r-optimparallel@1.0-2 r-mlrmbo@1.1.5.1 r-mlr@2.19.3 r-lhs@1.2.0 r-glmnet@4.1-10
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://github.com/jakobdambon/varycoef
Licenses: GPL 2
Build system: r
Synopsis: Modeling Spatially Varying Coefficients
Description:

This package implements a maximum likelihood estimation (MLE) method for estimation and prediction of Gaussian process-based spatially varying coefficient (SVC) models (Dambon et al. (2021a) <doi:10.1016/j.spasta.2020.100470>). Covariance tapering (Furrer et al. (2006) <doi:10.1198/106186006X132178>) can be applied such that the method scales to large data. Further, it implements a joint variable selection of the fixed and random effects (Dambon et al. (2021b) <doi:10.1080/13658816.2022.2097684>). The package and its capabilities are described in (Dambon et al. (2021c) <doi:10.48550/arXiv.2106.02364>).

r-vectorforgeml 0.1.0
Propagated dependencies: r-rcpp@1.1.0
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://vectorforgeml.work.gd
Licenses: FSDG-compatible
Build system: r
Synopsis: High-Performance Machine Learning Framework with C++ Acceleration
Description:

Machine learning utilities for fast vectorized model training. Methods are based on standard statistical learning references such as Hastie et al. (2009) <doi:10.1007/978-0-387-84858-7>.

r-viscov 1.6.0
Propagated dependencies: r-trialr@0.1.6 r-scatterplot3d@0.3-44 r-kernsmooth@2.23-26 r-clustergeneration@1.3.8 r-bayesm@3.1-7
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=VisCov
Licenses: GPL 3+
Build system: r
Synopsis: Visualizing of Distributions of Covariance Matrices
Description:

Visualizing of distributions of covariance matrices. The package implements the methodology described in Tokuda, T., Goodrich, B., Van Mechelen, I., Gelman, A., & Tuerlinckx, F. (2012) <https://sites.stat.columbia.edu/gelman/research/unpublished/Visualization.pdf>.

r-vbv 0.6.2
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=VBV
Licenses: GPL 3+
Build system: r
Synopsis: The Generalized Berlin Method for Time Series Decomposition
Description:

Time series decomposition for univariate time series using the "Verallgemeinerte Berliner Verfahren" (Generalized Berlin Method) as described in Kontinuierliche Messgröà en und Stichprobenstrategien in Raum und Zeit mit Anwendungen in den Natur-, Umwelt-, Wirtschafts- und Finanzwissenschaften', by Hebbel and Steuer, Springer Berlin Heidelberg, 2022 <doi:10.1007/978-3-662-65638-9>, or Decomposition of Time Series using the Generalised Berlin Method (VBV) by Hebbel and Steuer, in Jan Beran, Yuanhua Feng, Hartmut Hebbel (Eds.): Empirical Economic and Financial Research - Theory, Methods and Practice, Festschrift in Honour of Prof. Siegfried Heiler. Series: Advanced Studies in Theoretical and Applied Econometrics. Springer 2014, p. 9-40.

r-vowels 1.2-3
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://lingtools.uoregon.edu/norm/
Licenses: GPL 3
Build system: r
Synopsis: Vowel Manipulation, Normalization, and Plotting
Description:

Procedures for the manipulation, normalization, and plotting of phonetic and sociophonetic vowel formant data. vowels is the backend for the NORM website.

r-velociraptr 1.1.0
Propagated dependencies: r-sf@1.0-23
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=velociraptr
Licenses: GPL 3
Build system: r
Synopsis: Fossil Analysis
Description:

This package provides functions for downloading, reshaping, culling, cleaning, and analyzing fossil data from the Paleobiology Database <https://paleobiodb.org>.

r-vancouvr 0.1.9
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://github.com/mountainMath/VancouvR
Licenses: Expat
Build system: r
Synopsis: Access the 'City of Vancouver' Open Data API
Description:

Wrapper around the City of Vancouver Open Data API <https://opendata.vancouver.ca/api/v2/console> to simplify and standardize access to City of Vancouver open data. Functionality to list the data catalogue and access data and geographic records.

r-viscomplexr 1.1.2
Propagated dependencies: r-scales@1.4.0 r-rdpack@2.6.4 r-rcpp@1.1.0 r-plotrix@3.8-13 r-foreach@1.5.2 r-doparallel@1.0.17
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://peterbiber.github.io/viscomplexr/
Licenses: GPL 3
Build system: r
Synopsis: Phase Portraits of Functions in the Complex Number Plane
Description:

Functionality for creating phase portraits of functions in the complex number plane. Works with R base graphics, whose full functionality is available. Parallel processing is used for optimum performance.

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-vacuum 0.1.0
Propagated dependencies: r-magrittr@2.0.4 r-dplyr@1.1.4
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://github.com/Sielinski/vacuum
Licenses: Expat
Build system: r
Synopsis: Tukey's Vacuum Cleaner
Description:

An implementation of three procedures developed by John Tukey: FUNOP (FUll NOrmal Plot), FUNOR-FUNOM (FUll NOrmal Rejection-FUll NOrmal Modification), and vacuum cleaner. Combined, they provide a way to identify, treat, and analyze outliers in two-way (i.e., contingency) tables, as described in his landmark paper "The Future of Data Analysis", Tukey, John W. (1962) <https://www.jstor.org/stable/2237638>.

r-viroreportr 1.0.4
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://github.com/BCCDC-PHSA/ViroReportR
Licenses: GPL 3+
Build system: r
Synopsis: Respiratory Viral Infection Forecast Reporting
Description:

This package provides tools for reporting and forecasting viral respiratory infections, using case surveillance data. Report generation tools for short-term forecasts, and validation metrics for an arbitrary number of customizable respiratory viruses. Estimation of the effective reproduction number is based on the EpiEstim framework described in work by Cori and colleagues. (2013) <doi:10.1093/aje/kwt133>.

r-vistree 0.8.1
Propagated dependencies: r-rpart@4.1.24 r-partykit@1.2-24 r-colorspace@2.1-2
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=visTree
Licenses: GPL 3
Build system: r
Synopsis: Visualization of Subgroups for Decision Trees
Description:

This package provides a visualization for characterizing subgroups defined by a decision tree structure. The visualization simplifies the ability to interpret individual pathways to subgroups; each sub-plot describes the distribution of observations within individual terminal nodes and percentile ranges for the associated inner nodes.

r-varshrink 0.3.3
Propagated dependencies: r-vars@1.6-1 r-strucchange@1.5-4 r-mvtnorm@1.3-3 r-mass@7.3-65 r-corpcor@1.6.10 r-ars@0.8
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://github.com/namgillee/VARshrink/
Licenses: GPL 3+
Build system: r
Synopsis: Shrinkage Estimation Methods for Vector Autoregressive Models
Description:

Vector autoregressive (VAR) model is a fundamental and effective approach for multivariate time series analysis. Shrinkage estimation methods can be applied to high-dimensional VAR models with dimensionality greater than the number of observations, contrary to the standard ordinary least squares method. This package is an integrative package delivering nonparametric, parametric, and semiparametric methods in a unified and consistent manner, such as the multivariate ridge regression in Golub, Heath, and Wahba (1979) <doi:10.2307/1268518>, a James-Stein type nonparametric shrinkage method in Opgen-Rhein and Strimmer (2007) <doi:10.1186/1471-2105-8-S2-S3>, and Bayesian estimation methods using noninformative and informative priors in Lee, Choi, and S.-H. Kim (2016) <doi:10.1016/j.csda.2016.03.007> and Ni and Sun (2005) <doi:10.1198/073500104000000622>.

r-valdr 2.2.0
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=valdr
Licenses: Expat
Build system: r
Synopsis: Access and Analyse 'VALD' Data via Our External 'APIs'
Description:

This package provides helper functions and wrappers to simplify authentication, data retrieval, and result processing from the VALD APIs'. Designed to streamline integration for analysts and researchers working with VALD's external APIs'. For further documentation on integrating with VALD APIs', see: <https://support.vald.com/hc/en-au/articles/23415335574553-How-to-integrate-with-VALD-APIs>. For a step-by-step guide to using this package, see: <https://support.vald.com/hc/en-au/articles/48730811824281-A-guide-to-using-the-valdr-R-package>.

r-vvtableau 0.9.0
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://github.com/vusaverse/vvtableau
Licenses: Expat
Build system: r
Synopsis: R Interface for 'Tableau' Services
Description:

This package provides an R interface for interacting with the Tableau Server. It allows users to perform various operations such as publishing workbooks, refreshing data extracts, and managing users using the Tableau REST API (see <https://help.tableau.com/current/api/rest_api/en-us/REST/rest_api_ref.htm> for details). Additionally, it includes functions to perform manipulations on local Tableau workbooks.

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-vblpcm 2.4.9
Dependencies: gsl@2.8
Propagated dependencies: r-sna@2.8 r-network@1.19.0 r-mclust@6.1.2 r-ergm@4.12.0
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://www.r-project.org
Licenses: GPL 2+
Build system: r
Synopsis: Variational Bayes Latent Position Cluster Model for Networks
Description:

Fit and simulate latent position and cluster models for network data, using a fast Variational Bayes approximation developed in Salter-Townshend and Murphy (2013) <doi:10.1016/j.csda.2012.08.004>.

r-visualizesimon2stage 0.2.2
Propagated dependencies: r-scales@1.4.0 r-officer@0.7.1 r-ggplot2@4.0.1 r-geomtextpath@0.2.0 r-flextable@0.9.10
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://cran.r-project.org/package=VisualizeSimon2Stage
Licenses: GPL 2
Build system: r
Synopsis: Visualize Simon's Two-Stage Design
Description:

To visualize the probabilities of early termination, fail and success of Simon's two-stage design. To evaluate and visualize the operating characteristics of Simon's two-stage design.

r-vacalibration 2.0
Propagated dependencies: r-rstan@2.32.7 r-reshape2@1.4.5 r-patchwork@1.3.2 r-loo@2.8.0 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=vacalibration
Licenses: GPL 2
Build system: r
Synopsis: Calibration of Computer-Coded Verbal Autopsy Algorithm
Description:

Calibrates cause-specific mortality fractions (CSMF) estimates generated by computer-coded verbal autopsy (CCVA) algorithms from WHO-standardized verbal autopsy (VA) survey data. It leverages data from the multi-country Child Health and Mortality Prevention Surveillance (CHAMPS) project <https://champshealth.org/>, which determines gold standard causes of death via Minimally Invasive Tissue Sampling (MITS). By modeling the CHAMPS data using the misclassification matrix modeling framework proposed in Pramanik et al. (2025, <doi:10.1214/24-AOAS2006>), the package includes an inventory of 48 uncertainty-quantified misclassification matrices for three CCVA algorithms (EAVA, InSilicoVA, InterVA), two age groups (neonates aged 0-27 days and children aged 1-59 months), and eight "countries" (seven countries in CHAMPS -- Bangladesh, Ethiopia, Kenya, Mali, Mozambique, Sierra Leone, South Africa -- and an estimate for countries not in CHAMPS). Given a VA-only data for an age group, CCVA algorithm, and country, the package uses the corresponding uncertainty-quantified misclassification matrix estimates as an informative prior, and utilizes the modular VA-calibration to produce calibrated CSMF estimates. It also supports ensemble calibration when VA-only data are provided for multiple algorithms. More generally, the package can be applied to calibrate predictions from a discrete classifier (or ensemble of classifiers) utilizing user-provided fixed or uncertainty-quantified misclassification matrices. This work is supported by the Bill and Melinda Gates Foundation Grant INV-034842.

r-vglmer 1.0.6
Channel: guix-cran
Location: guix-cran/packages/v.scm (guix-cran packages v)
Home page: https://github.com/mgoplerud/vglmer
Licenses: GPL 2+
Build system: r
Synopsis: Variational Inference for Hierarchical Generalized Linear Models
Description:

Estimates hierarchical models using variational inference. At present, it can estimate logistic, linear, and negative binomial models. It can accommodate models with an arbitrary number of random effects and requires no integration to estimate. It also provides the ability to improve the quality of the approximation using marginal augmentation. Goplerud (2022) <doi:10.1214/21-BA1266> and Goplerud (2024) <doi:10.1017/S0003055423000035> provide details on the variational algorithms.

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