Packages
372 of 24,474 packages starting with V
Packages starting with V
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Embedded JavaScript and WebAssembly Engine for R
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VALIDICLUST v0.1.0
VALID Inference for Clusters Separation Testing
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VAM v1.1.0
Variance-Adjusted Mahalanobis
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VAR.etp v1.1
VAR Modelling: Estimation, Testing, and Prediction
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VAR.spec v1.0
Allows Specifying a Bivariate VAR (Vector Autoregression) with Desired Spectral Characteristics
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Variable Selection Methods Including an Exposure Variable
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VARcheck v0.1.1
Visual Diagnostic Checks for Vector Autoregressive Models
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VARcpDetectOnline v0.2.1
Sequential Change Point Detection for High-Dimensional VAR Models
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VARshrink v0.5.0
Shrinkage Estimation Methods for Vector Autoregressive Models
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Bootstrap Tests for Cointegration and Autocorrelation in VARs
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Variational Bayes Latent Position Cluster Model for Networks
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VBV v0.6.2
The Generalized Berlin Method for Time Series Decomposition
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Variational Bayes for Fast and Accurate Empirical Likelihood Inference
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VBphenoR v1.1.0
Variational Bayes for Latent Patient Phenotypes in EHR
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VBsparsePCA v0.1.0
The Variational Bayesian Method for Sparse PCA
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Extend the 'copula' Package with Families and Models from 'VineCopula'
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Variance Component Analysis
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Fit Varying Coefficient Models with Bayesian Additive Regression Trees
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VCMoE v0.2.0
Varying-Coefficient Mixture-of-Experts Models
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VDJgermlines v0.1
Variable, Diversity and Joining Sequences from Various Species
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VDPO v0.2.0
Working with and Analyzing Functional Data of Varying Lengths
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VDSM v0.1.1
Visualization of Distribution of Selected Model
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VDSPCalibration v1.0
Statistical Methods for Designing and Analyzing a Calibration Study
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VEwaning v1.4
Vaccine Efficacy Over Time
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Vaccine Efficacy Over Time - Variant Aware
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Variance Function Program
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VFS v1.0.2
Vegetated Filter Strip and Erosion Model
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Vector Generalized Linear and Additive Models
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VGAMdata v1.1-13
Data Supporting the 'VGAM' Package
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Additions and Extensions of the 'VGAM' Package
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The Variable Infiltration Capacity (VIC) Hydrological Model
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Variational Mixture Models for Clustering Categorical Data
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Variational Bayesian Inference for Genome-Wide Regression
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Visualization and Imputation of Missing Values
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VIMPS v1.0
Calculate Variable Importance with Knock Off Variables
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VIMean v0.1.0
Variability Independent of Mean
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VIProDesign v0.1.0
A Comprehensive Tool for Protein Design
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VIRF v0.1.1
Computation of Volatility Impulse Response Function of Multivariate Time Series
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VLF v1.1-3
Frequency Matrix Approach for Assessing Very Low Frequency Variants in Sequence Records
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Variable Length Markov Chains ('VLMC') Models
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VLMCX v1.0
Variable Length Markov Chain with Exogenous Covariates
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VLTimeCausality v0.1.5
Variable-Lag Time Series Causality Inference Framework
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VMDML v0.1.1
Variational Mode Decomposition Based Machine Learning Models
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Variational Mode Decomposition
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VNDesign v0.1.0
Virtual Noise Algorithm for Computing D-Optimal Designs with Correlated Observations
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VOSONDash v0.5.7
User Interface for Collecting and Analysing Social Networks
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VOWR v0.1.0
Vital Operational Waiting Risk for Healthcare Systems