Conditional Multivariate t Distribution, Expectation Maximization Algorithm, and Its Stochastic Variants R package CondMVT version 0.1.1 Computes conditional multivariate t probabilities, random deviates, and densities. It can also be used to create missing values at random in a dataset, resulting in a missing at random (MAR) mechanism. Inbuilt in the package are the Expectation-Maximization (EM), Monte Carlo EM, and Stochastic EM algorithms for imputation of missing values in datasets assuming the multivariate t distribution. See Kinyanjui, Tamba, Orawo, and Okenye (2020)<doi:10.3233/mas-200493>, and Kinyanjui, Tamba, and Okenye(2021)<http://www.ceser.in/ceserp/index.php/ijamas/article/view/6726/0> for more details. Software Imports: stats, mvtnorm Paul Kinyanjui <kinyanjui.access@gmail.com> Comprehensive R Archive Network (CRAN) Paul Kinyanjui [aut, cre], Cox Tamba [aut], Justin Okenye [aut], Luke Orawo [ctb] MIT + file LICENSE (https://CRAN.R-project.org/package=CondMVT/LICENSE) 2025-09-04 application/tgz https://CRAN.R-project.org/package=CondMVT doi:10.32614/CRAN.package.CondMVT