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V8

Embedded JavaScript and WebAssembly Engine for R

13/13 8.2.0

Visualising Splicing at Single-Cell Resolution

11/13 1.1.0

VALID Inference for Clusters Separation Testing

11/13 0.1.0
VAM

Variance-Adjusted Mahalanobis

11/13 1.1.0

VAR Modelling: Estimation, Testing, and Prediction

11/13 1.1

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

13/13 1.0

Variable Selection Methods Including an Exposure Variable

13/13 1.0.3

Visual Diagnostic Checks for Vector Autoregressive Models

13/13 0.1.0

Sequential Change Point Detection for High-Dimensional VAR Models

13/13 0.2.0

Shrinkage Estimation Methods for Vector Autoregressive Models

13/13 0.5.0

Bootstrap Tests for Cointegration and Autocorrelation in VARs

13/13 2.0.7

Variational Bayes Latent Position Cluster Model for Networks

11/13 2.4.9

Variational Bayesian Algorithm for Multi-Source Heterogeneous Models

13/13 1.0.0
VBV

The Generalized Berlin Method for Time Series Decomposition

0/13 0.6.2

Variational Bayes for Fast and Accurate Empirical Likelihood Inference

13/13 1.1.7

Variational Bayes for Latent Patient Phenotypes in EHR

13/13 1.1.0

The Variational Bayesian Method for Sparse PCA

9/13 0.1.0

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

13/13 0.1.6
VCA

Variance Component Analysis

13/13 1.5.2

Fit Varying Coefficient Models with Bayesian Additive Regression Trees

13/13 1.2.5

Varying-Coefficient Mixture-of-Experts Models

13/13 0.1.0

Peptide Array Analysis Tools

11/13 2.0.0

Variable, Diversity and Joining Sequences from Various Species

11/13 0.1

Working with and Analyzing Functional Data of Varying Lengths

13/13 0.2.0

Visualization of Distribution of Selected Model

13/13 0.1.1

Statistical Methods for Designing and Analyzing a Calibration Study

11/13 1.0

Vaccine Efficacy Over Time

13/13 1.4

Vaccine Efficacy Over Time - Variant Aware

13/13 1.4
VFP queue

Variance Function Program

13/13 1.4.4
VFS

Vegetated Filter Strip and Erosion Model

11/13 1.0.2

Vector Generalized Linear and Additive Models

13/13 1.1-14

Data Supporting the 'VGAM' Package

13/13 1.1-13

Additions and Extensions of the 'VGAM' Package

13/13 0.0-9

The Variable Infiltration Capacity (VIC) Hydrological Model

0/13 0.2.6

Variational Mixture Models for Clustering Categorical Data

13/13 1.0
VIGoR queue

Variational Bayesian Inference for Genome-Wide Regression

13/13 1.1.5
VIM

Visualization and Imputation of Missing Values

13/13 7.0.0

Calculate Variable Importance with Knock Off Variables

13/13 1.0

Variability Independent of Mean

11/13 0.1.0

A Comprehensive Tool for Protein Design

13/13 0.1.0

Computation of Volatility Impulse Response Function of Multivariate Time Series

13/13 0.1.1
VLF

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

13/13 1.1-3

Variable Length Markov Chains ('VLMC') Models

13/13 1.4-5

Variable Length Markov Chain with Exogenous Covariates

13/13 1.0

Variable-Lag Time Series Causality Inference Framework

13/13 0.1.5

Variational Mode Decomposition Based Machine Learning Models

13/13 0.1.1

Variational Mode Decomposition

13/13 1.0.2

User Interface for Collecting and Analysing Social Networks

11/13 0.5.7

Vital Operational Waiting Risk for Healthcare Systems

13/13 0.1.0

Variable Penalty Dynamic Time Warping

13/13 2.2.1