R: Conditional Multivariate t Distribution, Expectation Maximization Algorithm, and Its Stochastic Variants

# Conditional Multivariate t Distribution, Expectation Maximization Algorithm, and Its Stochastic Variants

## Documentation for package ‘CondMVT’ version 0.1.1

- DESCRIPTION file
- Package README

## Help Pages

CondMVT | Conditional Location Vector, Scatter Matrix, and Degrees of Freedom of Multivariate t Distribution
dcmvt | Conditional Multivariate t Density and Random Deviates
EM_msteps | Data Imputation Using EM (Multiple Iterations; Degrees of Freedom Known)
EM_onestep | Data Imputation Using EM (Single Iteration; Degrees of Freedom Known)
EM_Umsteps | Data Imputation Using EM (Multiple Iterations, Degrees of Freedom Unknown)
EM_Uonestep | Data Imputation Using EM (Single Iteration, Degrees of Freedom Unknown)
MISS | Creating Missing Values at Random in Multivariate Datasets
pcmvt | Conditional Multivariate t Distribution
rcmvt | Conditional Multivariate t Density and Random Deviates
SMCEM_msteps | Data Imputation Using SEM and MCEM (Multiple Iterations, Degrees of Freedom Known)
SMCEM_onestep | Data Imputation Using SEM and MCEM (Single Iteration, Degrees of Freedom Known)
SMCEM_Umsteps | Data Imputation Using SEM and MCEM (Multiple Iterations; Degrees of Freedom Unknown)
SMCEM_Uonestep | Data Imputation Using SEM and MCEM (Single Iteration; Degrees of Freedom Unknown)