mvnmle: ML Estimation for Multivariate Normal Data with Missing Values
Finds the maximum likelihood estimate of the mean vector
and variance-covariance matrix for multivariate normal data
with missing values.
| Version: |
0.1-11.1 |
| Depends: |
R (≥ 1.2.0) |
| Published: |
2018-05-19 |
| Author: |
Kevin Gross, with help from Douglas Bates |
| Maintainer: |
ORPHANED |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| In views: |
Multivariate, SocialSciences |
| CRAN checks: |
mvnmle results |
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