Package: CondMVT 0.1.0

CondMVT: Conditional Multivariate t Distribution

The packages helps sample from the conditional multivariate t distribution.

Authors:Paul Kimani Kinyanjui, Cox Lwaka Tamba, Justin Obwoge Okenye

# Install 'CondMVT' in R:

install.packages('CondMVT', repos = c('https://paulkinyanjui01.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Last updated from:110388175d. Checks:7 ERROR, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel	ERROR	104
source / vignettes	OK	208
linux-release	ERROR	104
macos-release	ERROR	131
macos-oldrel	ERROR	120
windows-devel	ERROR	59
windows-release	ERROR	56
windows-oldrel	ERROR	58
wasm-release	OK	86

Exports:

Dependencies:

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