All packages

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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 — 0.2.1

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 — 0.1.4

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

VMDML — 0.1.1

Variational Mode Decomposition Based Machine Learning Models

vmdTDNN — 0.1.1

VMD Based Time Delay Neural Network Model

vmeasur — 0.1.4

Quantify the Contractile Nature of Vessels Monitored under an Operating Microscope

vMF — 0.0.3

Sampling from the von Mises-Fisher Distribution

vmr — 0.0.6

Virtual Machines for R

vntrs — 0.1.1

Variable Neighborhood Trust Region Search

vocaldia — 0.8.4

Create and Manipulate Vocalisation Diagrams

voi — 1.0.2

Expected Value of Information

voice — 0.4.21

Tools for Voice Analysis, Speaker Recognition and Mood Inference

voiceR — 0.1.0

Voice Analytics for Social Scientists

vol2birdR — 1.0.2

Vertical Profiles of Biological Signals in Weather Radar Data

volatilityTrader — 1.0.1

High Volatility Environment Option Trading Strategies Graphs

volcano3D — 2.0.9

3D Volcano Plots and Polar Plots for Three-Class Data

volcanoPlot — 1.0.0

Volcano Plot for Clinical Trial Adverse Events

volesti — 1.1.2-7

Volume Approximation and Sampling of Convex Polytopes

volker — 1.0.2

High-Level Functions for Tabulating, Charting and Reporting Survey Data

volleystat — 0.2.0

Detailed Statistics on Volleyball Matches

voluModel — 0.2.1

Modeling Species Distributions in Three Dimensions

voronoiTreemap — 0.2.0

Voronoi Treemaps with Added Interactivity by Shiny

VorteksExport — 0.1.8

Export Dataframes to 'Vorteks' Software

vortexRdata — 1.0.5

Example Data for R Package 'vortexR'

voson.tcn — 0.5.0

Twitter Conversation Networks and Analysis

VOSONDash — 0.5.7

User Interface for Collecting and Analysing Social Networks

vosonSML — 0.32.7

Collecting Social Media Data and Generating Networks for Analysis

Voss — 0.1.5

Generic Voss Algorithm (Random Sequential Additions)

vote — 2.4-3

Election Vote Counting

voteogram — 0.3.2

United States House and Senate Voting Cartogram Generators

voteSim — 0.1.1

Generate Simulated Data for Voting Rules using Evaluations

votesmart — 0.1.2

Wrapper for the Project 'VoteSmart' API

votesys — 0.1.1

Voting Systems, Instant-Runoff Voting, Borda Method, Various Condorcet Methods

vottrans — 1.0

Voter Transition Analysis

vov — 0.1.2

CSS Animations for 'shiny' Elements

vowels — 1.2-2

Vowel Manipulation, Normalization, and Plotting

voxel — 1.3.5

Mass-Univariate Voxelwise Analysis of Medical Imaging Data

VoxR — 1.0.0

Trees Geometry and Morphology from Unstructured TLS Data

vpc — 1.2.2

Create Visual Predictive Checks

VPdtw — 2.1-14

Variable Penalty Dynamic Time Warping

vprr — 0.2.3

Processing and Visualization of Video Plankton Recorder Data

vrnmf — 1.0.2

Volume-Regularized Structured Matrix Factorization

vroom — 1.6.5

Read and Write Rectangular Text Data Quickly

vrtest — 1.2

Variance Ratio Tests and Other Tests for Martingale Difference Hypothesis

vscc — 0.7

Variable Selection for Clustering and Classification

vsd — 0.1.0

Graphical Shim for Visual Survival Data Analysis

vsgoftest — 1.0-1

Goodness-of-Fit Tests Based on Kullback-Leibler Divergence

VSOLassoBag — 0.99.1

Variable Selection Oriented LASSO Bagging Algorithm

vsp — 0.1.1

Vintage Sparse PCA for Semi-Parametric Factor Analysis

vstdct — 0.2

Nonparametric Estimation of Toeplitz Covariance Matrices

vstsr — 1.1.0

Access to 'Azure DevOps' API via R

VSURF — 1.2.0

Variable Selection Using Random Forests

vtable — 1.4.6

Variable Table for Variable Documentation

vtreat — 1.6.4

A Statistically Sound 'data.frame' Processor/Conditioner

vtree — 5.6.5

Display Information About Nested Subsets of a Data Frame

VTShiny — 0.1.0

Interactive Document for Working with Variance Analysis

vtype — 0.8

Estimates the Variable Type in Error Afflicted Data

vudc — 1.1

Visualization of Univariate Data for Comparison

vueR — 0.6.0

'Vuejs' Helpers and 'Htmlwidget'

VulnToolkit — 1.1.4

Analysis of Tidal Datasets

VUROCS — 1.0

Volume under the ROC Surface for Multi-Class ROC Analysis

vvauditor — 0.6.0

Creates Assertion Tests

vvcanvas — 0.0.3

'Canvas' LMS API Integration

vvconverter — 0.5.9

Apply Transformations to Data

vvdoctor — 0.0.1

Statistical Test App with R 'shiny'

vvfiller — 0.6.7

Fill Data Points

vvmover — 1.6.0

Read and Write Data

vvsculptor — 0.4.10

Apply Manipulations to Data Frames

vvshiny — 0.1.1

Create Complex Shiny Apps More Easily

vvtableau — 0.6.0

R Interface for 'Tableau' Services

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