Packages
367 of 24,090 packages starting with V
| Package | Health | Version |
|---|---|---|
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Embedded JavaScript and WebAssembly Engine for R |
13/13 | 8.2.0 |
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Visualising Splicing at Single-Cell Resolution |
11/13 | 1.1.0 |
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VALID Inference for Clusters Separation Testing |
11/13 | 0.1.0 |
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Variance-Adjusted Mahalanobis |
11/13 | 1.1.0 |
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VAR Modelling: Estimation, Testing, and Prediction |
11/13 | 1.1 |
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Allows Specifying a Bivariate VAR (Vector Autoregression) with Desired Spectral Characteristics |
13/13 | 1.0 |
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Variable Selection Methods Including an Exposure Variable |
13/13 | 1.0.3 |
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Visual Diagnostic Checks for Vector Autoregressive Models |
13/13 | 0.1.0 |
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Sequential Change Point Detection for High-Dimensional VAR Models |
13/13 | 0.2.0 |
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Shrinkage Estimation Methods for Vector Autoregressive Models |
13/13 | 0.5.0 |
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Bootstrap Tests for Cointegration and Autocorrelation in VARs |
13/13 | 2.0.7 |
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Variational Bayes Latent Position Cluster Model for Networks |
11/13 | 2.4.9 |
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Variational Bayesian Algorithm for Multi-Source Heterogeneous Models |
13/13 | 1.0.0 |
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The Generalized Berlin Method for Time Series Decomposition |
0/13 | 0.6.2 |
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Variational Bayes for Fast and Accurate Empirical Likelihood Inference |
13/13 | 1.1.7 |
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Variational Bayes for Latent Patient Phenotypes in EHR |
13/13 | 1.1.0 |
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The Variational Bayesian Method for Sparse PCA |
9/13 | 0.1.0 |
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Extend the 'copula' Package with Families and Models from 'VineCopula' |
13/13 | 0.1.6 |
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Variance Component Analysis |
13/13 | 1.5.2 |
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Fit Varying Coefficient Models with Bayesian Additive Regression Trees |
13/13 | 1.2.5 |
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Varying-Coefficient Mixture-of-Experts Models |
13/13 | 0.1.0 |
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Peptide Array Analysis Tools |
11/13 | 2.0.0 |
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Variable, Diversity and Joining Sequences from Various Species |
11/13 | 0.1 |
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Working with and Analyzing Functional Data of Varying Lengths |
13/13 | 0.2.0 |
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Visualization of Distribution of Selected Model |
13/13 | 0.1.1 |
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Statistical Methods for Designing and Analyzing a Calibration Study |
11/13 | 1.0 |
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Vaccine Efficacy Over Time |
13/13 | 1.4 |
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Vaccine Efficacy Over Time - Variant Aware |
13/13 | 1.4 |
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VFP
queue
Variance Function Program |
13/13 | 1.4.4 |
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Vegetated Filter Strip and Erosion Model |
11/13 | 1.0.2 |
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Vector Generalized Linear and Additive Models |
13/13 | 1.1-14 |
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Data Supporting the 'VGAM' Package |
13/13 | 1.1-13 |
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Additions and Extensions of the 'VGAM' Package |
13/13 | 0.0-9 |
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The Variable Infiltration Capacity (VIC) Hydrological Model |
0/13 | 0.2.6 |
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Variational Mixture Models for Clustering Categorical Data |
13/13 | 1.0 |
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VIGoR
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Variational Bayesian Inference for Genome-Wide Regression |
13/13 | 1.1.5 |
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Visualization and Imputation of Missing Values |
13/13 | 7.0.0 |
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Calculate Variable Importance with Knock Off Variables |
13/13 | 1.0 |
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Variability Independent of Mean |
11/13 | 0.1.0 |
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A Comprehensive Tool for Protein Design |
13/13 | 0.1.0 |
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Computation of Volatility Impulse Response Function of Multivariate Time Series |
13/13 | 0.1.1 |
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Frequency Matrix Approach for Assessing Very Low Frequency Variants in Sequence Records |
13/13 | 1.1-3 |
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Variable Length Markov Chains ('VLMC') Models |
13/13 | 1.4-5 |
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Variable Length Markov Chain with Exogenous Covariates |
13/13 | 1.0 |
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Variable-Lag Time Series Causality Inference Framework |
13/13 | 0.1.5 |
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Variational Mode Decomposition Based Machine Learning Models |
13/13 | 0.1.1 |
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Variational Mode Decomposition |
13/13 | 1.0.2 |
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User Interface for Collecting and Analysing Social Networks |
11/13 | 0.5.7 |
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Vital Operational Waiting Risk for Healthcare Systems |
13/13 | 0.1.0 |
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Variable Penalty Dynamic Time Warping |
13/13 | 2.2.1 |