mvnmle
ML Estimation for Multivariate Normal Data with Missing Values
Finds the Maximum Likelihood (ML) Estimate of the mean vector and variance-covariance matrix for multivariate normal data with missing values.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1-11.2 |
rolling linux/jammy R-4.5 | mvnmle_0.1-11.2.tar.gz |
36.0 KiB |
0.1-11.2 |
rolling linux/noble R-4.5 | mvnmle_0.1-11.2.tar.gz |
35.9 KiB |
0.1-11.2 |
rolling source/ R- | mvnmle_0.1-11.2.tar.gz |
11.2 KiB |
0.1-11.2 |
latest linux/jammy R-4.5 | mvnmle_0.1-11.2.tar.gz |
36.0 KiB |
0.1-11.2 |
latest linux/noble R-4.5 | mvnmle_0.1-11.2.tar.gz |
35.9 KiB |
0.1-11.2 |
latest source/ R- | mvnmle_0.1-11.2.tar.gz |
11.2 KiB |
0.1-11.2 |
2026-04-26 source/ R- | mvnmle_0.1-11.2.tar.gz |
11.2 KiB |
0.1-11.2 |
2026-04-23 source/ R- | mvnmle_0.1-11.2.tar.gz |
11.2 KiB |
0.1-11.2 |
2026-04-09 windows/windows R-4.5 | mvnmle_0.1-11.2.zip |
43.7 KiB |
0.1-11.2 |
2025-04-20 source/ R- | mvnmle_0.1-11.2.tar.gz |
11.2 KiB |