iVAR: A program for imputing missing data in multivariate time series using vector autoregressive models

Keyphrases

• Imputing Missing Data 100%
• Vector Autoregressive Model 100%
• Multivariate Time Series 100%
• Simulation Study 50%
• Sample Variance 50%
• Cross-lagged 50%
• Sample Mean 50%
• Electrodermal Activity 50%
• Multiple Imputation 50%
• Listwise Deletion 50%
• R Program 50%
• Activity Data 50%
• Handling Missing Data 50%
• Time Dependency 50%

Mathematics

• Autoregressive Model 100%
• Simulation Study 50%
• Sample Variance 50%
• Handling Missing Data 50%
• Sample Mean 50%
• Multiple Imputation 50%