Robust Pipeline for 'VALD' 'ForceDecks' Data Extraction and
Analysis

Access and Analyse 'VALD' Data via Our External 'APIs'

Visualise and Report 'VALD ForceDecks' Test Results

Spread the Love for R Packages with Poetry

Visualising Splicing at Single-Cell Resolution

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

Interface Between R and the OpenStreetMap-Based Routing Service
'Valhalla'
R package valh version 0.2.0

A Tidy Interface to the 'Valhalla' Routing Engine

Validating Topic Coherence and Topic Labels

Generate Suggestions for Validation Rules

Checking and Simplifying Validation Rule Sets

Simulation-Based Tools for Bioacoustic Study Design
R package ValidationExplorer version 0.1.1

VALID Inference for Clusters Separation Testing

Velocity and Accuracy of the LOg-RAnk TEst

Results from the Virginia Lottery Draw Games

Value-Price Analysis with Bayesian and Panel Data Methods

Statistical Methods for Analytical Method Comparison and
Validation

A Monte Carlo Valuation Framework for Variable Annuities

Access the 'City of Vancouver' Open Data API

Vincent van Gogh Colour Palette Generator

Simplified Statistical Procedures for Social Sciences

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

VAR Modelling: Estimation, Testing, and Prediction

Allows Specifying a Bivariate VAR (Vector Autoregression) with
Desired Spectral Characteristics
R package VAR.spec version 1.0

Variable Banding of Large Precision Matrices

Optimal Binning of Continuous and Categorical Variables

Large-Scale Bayesian Variable Selection Using Variational
Methods

Visual Diagnostic Checks for Vector Autoregressive Models

Sequential Change Point Detection for High-Dimensional VAR
Models
R package VARcpDetectOnline version 0.2.1

Variance Estimation for Sample Surveys by the Ultimate Cluster
Method

Variance Estimation using Difference-Based Methods

Computes Value at Risk and Expected Shortfall for over 100
Parametric Distributions
R package VaRES version 1.0.2

Variance-Guided Regression Improving Upon OLS and ANOVA

Variance-Guided Time-Series Modeling for Temporal Risk Detection