All packages

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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

vse4ts — 1.0.0

Identify Memory Patterns in Time Series Using Variance Scale Exponent

vsgoftest — 1.0-1

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

vsmi — 0.1.0

Variable Selection for Multiple Imputed Data

VSOLassoBag — 0.99.1

Variable Selection Oriented LASSO Bagging Algorithm

vsp — 0.1.2

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

VsusP — 1.0.0

Variable Selection using Shrinkage Priors

vtable — 1.4.8

Variable Table for Variable Documentation

vtreat — 1.6.5

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 — 0.0.4

'Canvas' LMS API Integration

vvconverter — 0.5.10

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 — 0.7.0

R Interface for 'Tableau' Services

vvtermtime — 0.0.1

Interface for 'Semestry TermTime' Services

vwline — 0.2-4

Draw Variable-Width Lines

VWPre — 1.2.4

Tools for Preprocessing Visual World Data

W2CWM2C — 2.2

A Graphical Tool for Wavelet (Cross) Correlation and Wavelet Multiple (Cross) Correlation Analysis

W3CMarkupValidator — 0.1-7

R Interface to W3C Markup Validation Services

WA — 1.0

While-Alive Loss Rate for Recurrent Event in the Presence of Death

wacolors — 0.3.1

Colorblind-Friendly Palettes from Washington State

WACS — 1.1.0

Multivariate Weather-State Approach Conditionally Skew-Normal Generator

wactor — 0.0.1

Word Factor Vectors

waffle — 1.0.2

Create Waffle Chart Visualizations

waiter — 0.2.5

Loading Screen for 'Shiny'

wakefield — 0.3.6

Generate Random Data Sets

wal — 0.1.1

Read and Write 'wal' Bitmap Image Files and Other 'Quake' Assets

waldo — 0.6.1

Find Differences Between R Objects

walkboutr — 0.6.0

Generate Walk Bouts from GPS and Accelerometry Data

walker — 1.0.10

Bayesian Generalized Linear Models with Time-Varying Coefficients

walkscore — 0.1.2

A Tidy Interface to the 'Walk Score' API

walkscoreAPI — 1.2

Walk Score and Transit Score API

wallace — 2.1.3

A Modular Platform for Reproducible Modeling of Species Niches and Distributions

WallomicsData — 1.0

Datasets for Multi-Omics Integration in a Plant Abiotic Stress Context

wally — 1.0.10

The Wally Calibration Plot for Risk Prediction Models

walmartAPI — 0.1.5

Walmart Open API Wrapper

walrus — 1.0.5

Robust Statistical Methods

WALS — 0.2.5

Weighted-Average Least Squares Model Averaging

WaMaSim — 1.0.0

Simulate Rehabilitation Strategies for Water Distribution Systems

wand — 0.5.0

Retrieve 'Magic' Attributes from Files and Directories

WAnova — 0.4.0

Welch's Anova from Summary Statistics

warabandi — 0.1.0

Roster Generation of Turn for Weekdays:'warabandi'

warbleR — 1.1.33

Streamline Bioacoustic Analysis

WARDEN — 0.99.1

Workflows for Health Technology Assessments in R using Discrete EveNts

warehouseTools — 0.1.2

Heuristics for Solving the Traveling Salesman Problem in Warehouse Layouts

WARN — 1.2-4

Weaning Age Reconstruction with Nitrogen Isotope Analysis

warp — 0.2.1

Group Dates

warpMix — 0.1.0

Mixed Effects Modeling with Warping for Functional Data Using B-Spline

washdata — 0.1.4

Urban Water and Sanitation Survey Dataset

washeR — 0.1.3

Time Series Outlier Detection

washex — 1.2.0

Washington State Legislative Explorer

washi — 0.2.0

Washington Soil Health Initiative Branding

washr — 1.0.1

Publication Toolkit for Water, Sanitation and Hygiene (WASH) Data

WASP — 1.4.4

Wavelet System Prediction

waspasR — 0.1.5

Tool Kit to Implement a W.A.S.P.A.S. Based Multi-Criteria Decision Analysis Solution

waspr — 1.0.1

Wasserstein Barycenters of Subset Posteriors

waterData — 1.0.8

Retrieval, Analysis, and Anomaly Calculation of Daily Hydrologic Time Series Data

waterfall — 1.0.2

Waterfall Charts

waterfalls — 1.0.0

Create Waterfall Charts using 'ggplot2' Simply

waterquality — 1.0.0

Satellite Derived Water Quality Detection Algorithms

waterYearType — 1.0.1

Sacramento and San Joaquin Valley Water Year Types

Wats — 1.0.1

Wrap Around Time Series Graphics

watson — 0.5

Fitting and Simulating Mixtures of Watson Distributions

wav — 0.1.0

Read and Write WAV Files

waveband — 4.7.4

Computes Credible Intervals for Bayesian Wavelet Shrinkage

waved — 1.3

Wavelet Deconvolution

WaveletANN — 0.1.2

Wavelet ANN Model

WaveletArima — 0.1.2

Wavelet-ARIMA Model for Time Series Forecasting

WaveletComp — 1.1

Computational Wavelet Analysis

WaveletETS — 0.1.0

Wavelet Based Error Trend Seasonality Model

WaveletGARCH — 0.1.1

Fit the Wavelet-GARCH Model to Volatile Time Series Data

WaveletGBM — 0.1.0

Wavelet Based Gradient Boosting Method

WaveletKNN — 0.1.0

Wavelet Based K-Nearest Neighbor Model

WaveletLSTM — 0.1.0

Wavelet Based LSTM Model

WaveletML — 0.1.0

Wavelet Decomposition Based Hybrid Machine Learning Models

WaveletMLbestFL — 0.1.0

The Best Wavelet Filter-Level for Prepared Wavelet-Based Models

WaveletRF — 0.1.0

Wavelet-RF Hybrid Model for Time Series Forecasting

wavelets — 0.3-0.2

Functions for Computing Wavelet Filters, Wavelet Transforms and Multiresolution Analyses

WaveletSVR — 0.1.0

Wavelet-SVR Hybrid Model for Time Series Forecasting

wavemulcor — 3.1.2

Wavelet Routines for Global and Local Multiple Regression and Correlation

waver — 0.3.0

Calculate Fetch and Wave Energy

WaverideR — 0.3.2

Extracting Signals from Wavelet Spectra

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