All packages

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V8 — 4.4.2

Embedded JavaScript and WebAssembly Engine for R

vaccine — 1.2.1

Statistical Tools for Immune Correlates Analysis of Vaccine Clinical Trial Data

vacuum — 0.1.0

Tukey's Vacuum Cleaner

vader — 0.2.1

Valence Aware Dictionary and sEntiment Reasoner (VADER)

vaersNDvax — 1.0.4

Non-Domestic Vaccine Adverse Event Reporting System (VAERS) Vaccine Data for Present

vaersvax — 1.0.5

US Vaccine Adverse Event Reporting System (VAERS) Vaccine Data for Present

vagalumeR — 0.1.6

Access to the 'Vagalume' API

vagam — 1.1

Variational Approximations for Generalized Additive Models

valaddin — 1.0.2

Functional Input Validation

valection — 1.0.0

Sampler for Verification Studies

valentine — 2024.2.14

Spread the Love for R Packages with Poetry

VALERIE — 1.1.0

Visualising Splicing at Single-Cell Resolution

valet — 0.9.0

Provide R Client to the Bank of Canada's Valet API

valhallr — 0.1.0

A Tidy Interface to the 'Valhalla' Routing Engine

validann — 1.2.1

Validation Tools for Artificial Neural Networks

validata — 0.1.0

Validate Data Frames

validate — 1.1.5

Data Validation Infrastructure

validateIt — 1.2.1

Validating Topic Coherence and Topic Labels

validatesuggest — 0.3.2

Generate Suggestions for Validation Rules

validatetools — 0.5.2

Checking and Simplifying Validation Rule Sets

VALIDICLUST — 0.1.0

VALID Inference for Clusters Separation Testing

validmind — 0.1.1

Interface to the 'ValidMind' Platform

valmetrics — 1.0.0

Metrics and Plots for Model Evaluation

valorate — 1.0-1

Velocity and Accuracy of the LOg-RAnk TEst

valottery — 0.0.1

Results from the Virginia Lottery Draw Games

valr — 0.8.1

Genome Interval Arithmetic

valueEQ5D — 0.7.2

Scoring EQ-5d Descriptive System

valuemap — 2.0.4

Making Choropleth Map

valueSetCompare — 1.0.0

Comparing HRQoL Instrument Value Sets

VAM — 1.1.0

Variance-Adjusted Mahalanobis

vamc — 0.2.1

A Monte Carlo Valuation Framework for Variable Annuities

vampyr — 1.1.1

Factor Analysis Controlling the Effects of Response Bias

VancouvR — 0.1.8

Access the 'City of Vancouver' Open Data API

vandalico — 0.0.1

Evaluation of Presence-Absence Models

vangogh — 0.1.1

A Vincent Van Gogh Color Palette Generator

vannstats — 1.3.4.14

Simplified Statistics for PA 606

vanquish — 1.0.0

Variant Quality Investigation Helper

vapour — 0.10.0

Access to the 'Geospatial Data Abstraction Library' ('GDAL')

VAR.etp — 1.1

VAR Modelling: Estimation, Testing, and Prediction

VAR.spec — 1.0

Allows Specifying a Bivariate VAR (Vector Autoregression) with Desired Spectral Characteristics

varband — 0.9.0

Variable Banding of Large Precision Matrices

varbin — 0.2.1

Optimal Binning of Continuous and Categorical Variables

varbvs — 2.6-10

Large-Scale Bayesian Variable Selection Using Variational Methods

varclust — 0.9.4

Variables Clustering

VARDetect — 0.1.8

Multiple Change Point Detection in Structural VAR Models

vardiag — 0.2-1

Variogram Diagnostics

vardpoor — 0.20.1

Variance Estimation for Sample Surveys by the Ultimate Cluster Method

VarED — 1.0.0

Variance Estimation using Difference-Based Methods

VaRES — 1.0.2

Computes Value at Risk and Expected Shortfall for over 100 Parametric Distributions

varEst — 0.1.0

Variance Estimation

varhandle — 2.0.6

Functions for Robust Variable Handling

variability — 0.1.0

Genetic Variability Analysis for Plant Breeding Research

variables — 1.1-1

Variable Descriptions

VariableScreening — 0.2.1

High-Dimensional Screening for Semiparametric Longitudinal Regression

varian — 0.2.2

Variability Analysis in R

VarianceGamma — 0.4-2

The Variance Gamma Distribution

variantspark — 0.1.1

A 'Sparklyr' Extension for 'VariantSpark'

variationalDCM — 2.0.1

Variational Bayesian Estimation for Diagnostic Classification Models

varImp — 0.4

RF Variable Importance for Arbitrary Measures

variosig — 0.3-1

Testing Spatial Dependence Using Empirical Variogram

vaRiskScore — 1.1.0

VA CVD Risk Score

varitas — 0.0.2

Variant Calling in Targeted Analysis Sequencing Data

varjmcm — 0.1.1

Estimations for the Covariance of Estimated Parameters in Joint Mean-Covariance Models

varoc — 0.2.0

Value Added Receiver Operating Characteristics Curve

varrank — 0.5

Heuristics Tools Based on Mutual Information for Variable Ranking

VarRedOpt — 0.1.0

A Framework for Variance Reduction

VarReg — 2.0

Semi-Parametric Variance Regression

vars — 1.6-1

VAR Modelling

varSel — 0.2

Sequential Forward Floating Selection using Jeffries-Matusita Distance

VARSELECTEXPOSURE — 1.0.3

Variable Selection Methods Including an Exposure Variable

VarSelLCM — 2.1.3.1

Variable Selection for Model-Based Clustering of Mixed-Type Data Set with Missing Values

varSelRF — 0.7-8

Variable Selection using Random Forests

VARshrink — 0.3.1

Shrinkage Estimation Methods for Vector Autoregressive Models

vartest — 1.2

Tests for Variance Homogeneity

varTestnlme — 1.3.5

Variance Components Testing for Linear and Nonlinear Mixed Effects Models

varycoef — 0.3.4

Modeling Spatially Varying Coefficients

vasicek — 0.0.3

Miscellaneous Functions for Vasicek Distribution

vasicekreg — 1.0.1

Regression Modeling Using Vasicek Distribution

vatcheckapi — 0.1.0

Client for the 'vatcheckapi.com' VAT Validation API

vaultr — 1.2.0

Vault Client for Secrets and Sensitive Data

vaxpmx — 0.0.3

Vaccines Pharmacometrics

VBel — 1.0.1

Variational Bayes for Fast and Accurate Empirical Likelihood Inference

VBJM — 0.1.0

Variational Inference for Joint Model

VBLPCM — 2.4.9

Variational Bayes Latent Position Cluster Model for Networks

VBsparsePCA — 0.1.0

The Variational Bayesian Method for Sparse PCA

VBTree — 0.1.1

Vector Binary Tree to Make Your Data Management More Efficient

VBV — 0.6.2

The Generalized Berlin Method for Time Series Decomposition

VC2copula — 0.1.5

Extend the 'copula' Package with Families and Models from 'VineCopula'

VCA — 1.5.1

Variance Component Analysis

vccp — 0.1.1

Vine Copula Change Point Detection in Multivariate Time Series

vcd — 1.4-12

Visualizing Categorical Data

vcdExtra — 0.8-5

'vcd' Extensions and Additions

vcfppR — 0.4.6

Rapid Manipulation of the Variant Call Format (VCF)

vcfR — 1.15.0

Manipulate and Visualize VCF Data

vcmeta — 1.4.0

Varying Coefficient Meta-Analysis

vcov — 0.0.1

Variance-Covariance Matrices and Standard Errors

vcPB — 1.1.1

Longitudinal PB Varying-Coefficient Groupwise Disparity Model

vcpen — 1.9

Penalized Variance Components Analysis

vcr — 1.2.2

Record 'HTTP' Calls to Disk

vcrpart — 1.0-5

Tree-Based Varying Coefficient Regression for Generalized Linear and Ordinal Mixed Models

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