Finds the maximum likelihood estimate of the mean vector and variance-covariance matrix for multivariate normal data with missing values.
| Version: | 0.1-10 |
| Depends: | R (≥ 1.2.0) |
| Published: | 2011-06-30 |
| Author: | Kevin Gross, with help from Douglas Bates |
| Maintainer: | Kevin Gross <kevin_gross at ncsu.edu> |
| License: | GPL (≥ 2) |
| In views: | Multivariate |
| CRAN checks: | mvnmle results |
| Package source: | mvnmle_0.1-10.tar.gz |
| MacOS X binary: | mvnmle_0.1-10.tgz |
| Windows binary: | mvnmle_0.1-10.zip |
| Reference manual: | mvnmle.pdf |
| Old sources: | mvnmle archive |
| Reverse suggests: | FAiR |