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

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Documentation for package ‘CondMVT’ version 0.1.0

• DESCRIPTION file.

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)