Package: CondMVT
Type: Package
Title: Conditional Multivariate t Distribution, Expectation
        Maximization Algorithm, and Its Stochastic Variants
Version: 0.1.1
Authors@R: c(person("Paul", "Kinyanjui", role=c("aut", "cre"), 
	   email="kinyanjui.access@gmail.com"),
	   person("Cox", "Tamba", role="aut", 
           email="cox.tamba@egerton.ac.ke"),
	   person("Justin", "Okenye", role="aut",
	   email="justinoke69@gmail.com"),
	   person("Luke", "Orawo", role="ctb",
           email="orawo2000@yahoo.com"))
Maintainer: Paul Kinyanjui <kinyanjui.access@gmail.com>
Description: 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. 
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: stats, mvtnorm
NeedsCompilation: no
Packaged: 2025-09-04 13:56:54 UTC; kinya
Author: Paul Kinyanjui [aut, cre],
  Cox Tamba [aut],
  Justin Okenye [aut],
  Luke Orawo [ctb]
Repository: CRAN
Date/Publication: 2025-09-04 15:30:19 UTC
Built: R 4.6.0; ; 2026-04-26 15:09:58 UTC; unix
