CondMVT
Conditional Multivariate t Distribution, Expectation Maximization Algorithm, and Its Stochastic Variants
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.1 |
rolling linux/jammy R-4.5 | CondMVT_0.1.1.tar.gz |
84.4 KiB |
0.1.1 |
rolling linux/noble R-4.5 | CondMVT_0.1.1.tar.gz |
84.4 KiB |
0.1.1 |
rolling source/ R- | CondMVT_0.1.1.tar.gz |
11.9 KiB |
0.1.1 |
latest linux/jammy R-4.5 | CondMVT_0.1.1.tar.gz |
84.4 KiB |
0.1.1 |
latest linux/noble R-4.5 | CondMVT_0.1.1.tar.gz |
84.4 KiB |
0.1.1 |
latest source/ R- | CondMVT_0.1.1.tar.gz |
11.9 KiB |
0.1.1 |
2026-04-26 source/ R- | CondMVT_0.1.1.tar.gz |
11.9 KiB |
0.1.1 |
2026-04-23 source/ R- | CondMVT_0.1.1.tar.gz |
11.9 KiB |
0.1.1 |
2026-04-09 windows/windows R-4.5 | CondMVT_0.1.1.zip |
87.0 KiB |
0.1.0 |
2025-04-20 source/ R- | CondMVT_0.1.0.tar.gz |
12.1 KiB |