All packages

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vetr — 0.2.16

Trust, but Verify

VetResearchLMM — 1.0.0

Linear Mixed Models - An Introduction with Applications in Veterinary Research

VEwaning — 1.3

Vaccine Efficacy Over Time

VEwaningVariant — 1.4

Vaccine Efficacy Over Time - Variant Aware

vfcp — 1.4.0

Computation of v Values for U and Copula C(U, v)

vfinputs — 0.1.0

Visual Filter Inputs for Shiny

VFP — 1.4.1

Variance Function Program

vfprogression — 0.7.1

Visual Field (VF) Progression Analysis and Plotting Methods

VFS — 1.0.2

Vegetated Filter Strip and Erosion Model

VGAM — 1.1-10

Vector Generalized Linear and Additive Models

VGAMdata — 1.1-9

Data Supporting the 'VGAM' Package

VGAMextra — 0.0-6

Additions and Extensions of the 'VGAM' Package

vglmer — 1.0.3

Variational Inference for Hierarchical Generalized Linear Models

vhcub — 1.0.0

Virus-Host Codon Usage Co-Adaptation Analysis

VHDClassification — 0.3

Discrimination/Classification in very high dimension with linear and quadratic rules.

vhica — 0.2.8

Vertical and Horizontal Inheritance Consistence Analysis

via — 0.2.0

Virtual Arrays

viafr — 0.3.0

Interface to the 'VIAF' ('Virtual International Authority File') API

VIC5 — 0.2.6

The Variable Infiltration Capacity (VIC) Hydrological Model

vICC — 1.0.0

Varying Intraclass Correlation Coefficients

vici — 0.7.3

Vaccine Induced Cellular Immunogenicity with Bivariate Modeling

VicmapR — 0.2.3

Access Victorian Spatial Data Through Web File Services (WFS)

Vicus — 0.99.0

Exploiting Local Structures to Improve Network-Based Analysis of Biological Data

video — 0.1.1

'Shiny' Extension of 'video.js'

vietnamcode — 0.1.1

Convert Vietnam Provincial Codes

vietnameseConverter — 0.4.0

Convert Vietnamese Encodings

ViewPipeSteps — 0.1.0

Create View Tabs of Pipe Chains

viewpoly — 0.4.1

A Shiny App to Visualize Genetic Maps and QTL Analysis in Polyploid Species

viewscape — 1.0.0

Viewscape Analysis

VIGoR — 1.1.2

Variational Bayesian Inference for Genome-Wide Regression

viking — 1.0.2

State-Space Models Inference by Kalman or Viking

villager — 1.1.1

A Framework for Designing and Running Agent Based Models

VIM — 6.2.2

Visualization and Imputation of Missing Values

VIMean — 0.1.0

Variability Independent of Mean

vimp — 2.3.3

Perform Inference on Algorithm-Agnostic Variable Importance

vimpclust — 0.1.0

Variable Importance in Clustering

VIMPS — 1.0

Calculate Variable Importance with Knock Off Variables

vindecodr — 0.1.1

Provides an Interface to the Department of Transportation VIN Decoder

VineCopula — 2.5.0

Statistical Inference of Vine Copulas

vinereg — 0.10.0

D-Vine Quantile Regression

vines — 1.1.5

Multivariate Dependence Modeling with Vines

violinplotter — 3.0.1

Plotting and Comparing Means with Violin Plots

vioplot — 0.4.0

Violin Plot

vip — 0.4.1

Variable Importance Plots

vipor — 0.4.7

Plot Categorical Data Using Quasirandom Noise and Density Estimates

viraldomain — 0.0.3

Applicability Domain Methods of Viral Load and CD4 Lymphocytes

viralmodels — 1.2.0

Viral Load and CD4 Lymphocytes Regression Models

viralx — 1.2.0

Explainers for Regression Models in HIV Research

VIRF — 0.1.0

Computation of Volatility Impulse Response Function of Multivariate Time Series

viridis — 0.6.5

Colorblind-Friendly Color Maps for R

viridisLite — 0.4.2

Colorblind-Friendly Color Maps (Lite Version)

virtualPollen — 1.0.1

Simulating Pollen Curves from Virtual Taxa with Different Life and Niche Traits

VirtualPop — 2.0.2

Simulation of Populations by Sampling Waiting-Time Distributions

virtualspecies — 1.6

Generation of Virtual Species Distributions

virtuoso — 0.1.8

Interface to 'Virtuoso' using 'ODBC'

viruslearner — 0.0.1

Ensemble Learning for HIV-Related Metrics

virustotal — 0.2.2

R Client for the VirusTotal API

visa — 0.1.0

Vegetation Imaging Spectroscopy Analyzer

visachartR — 3.3.0

Wrapper for 'Visa Chart Components'

visae — 0.2.0

Visualization of Adverse Events

visaOTR — 0.1.0

Valid Improved Sparsity A-Learning for Optimal Treatment Decision

VisCollin — 0.1.2

Visualizing Collinearity Diagnostics

viscomp — 1.0.0

Visualize Multi-Component Interventions in Network Meta-Analysis

viscomplexr — 1.1.1

Phase Portraits of Functions in the Complex Number Plane

visdat — 0.6.0

Preliminary Visualisation of Data

ViSiElse — 1.2.2

A Visual Tool for Behavior Analysis over Time

visit — 2.2

Vaccine Phase I Design with Simultaneous Evaluation of Immunogenicity and Toxicity

VisitorCounts — 2.0.0

Modeling and Forecasting Visitor Counts Using Social Media

vismeteor — 1.8.5

Analysis of Visual Meteor Data

visNetwork — 2.1.2

Network Visualization using 'vis.js' Library

visOmopResults — 0.2.0

Graphs and Tables for OMOP Results

visR — 0.4.1

Clinical Graphs and Tables Adhering to Graphical Principles

visreg — 2.7.0

Visualization of Regression Models

visStatistics — 0.1.1

Automated Visualization of Statistical Tests

vistime — 1.2.4

Pretty Timelines in R

vistla — 2.0.1

Detecting Influence Paths with Information Theory

visTree — 0.8.1

Visualization of Subgroups for Decision Trees

vistributions — 0.1.2

Visualize Probability Distributions

VisualDom — 0.8.0

Visualize Dominant Variables in Wavelet Multiple Correlation

visualFields — 1.0.1

Statistical Methods for Visual Fields

visualize — 4.5.0

Graph Probability Distributions with User Supplied Parameters and Statistics

Visualize.CRAN.Downloads — 1.0.3

Visualize Downloads from 'CRAN' Packages

VisualizeSimon2Stage — 0.1.3

Visualize Simon's Two-Stage Design

visualpred — 0.1.0

Visualization 2D of Binary Classification Models

visvow — 1.3.11

Visible Vowels: Visualization of Vowel Variation

visxhclust — 1.1.0

A Shiny App for Visual Exploration of Hierarchical Clustering

vita — 1.0.0

Variable Importance Testing Approaches

vitae — 0.5.4

Curriculum Vitae for R Markdown

vitality — 1.3

Fitting Routines for the Vitality Family of Mortality Models

vivainsights — 0.5.2

Analyze and Visualize Data from 'Microsoft Viva Insights'

vivaldi — 1.0.1

Viral Variant Location and Diversity

vivid — 0.2.8

Variable Importance and Variable Interaction Displays

vivo — 0.2.1

Variable Importance via Oscillations

vizdraws — 2.0.0

Visualize Draws from the Prior and Posterior Distributions

vkR — 0.2

Access to VK API via R

VLF — 1.1

Frequency Matrix Approach for Assessing Very Low Frequency Variants in Sequence Records

VLMC — 1.4-3-1

Variable Length Markov Chains ('VLMC') Models

VLMCX — 1.0

Variable Length Markov Chain with Exogenous Covariates

VLTimeCausality — 0.1.4

Variable-Lag Time Series Causality Inference Framework

VMDecomp — 1.0.1

Variational Mode Decomposition

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