Finds the maximum likelihood estimate of the mean vector and variance-covariance matrix for multivariate normal data with missing values.
| Version: | 0.1-11 |
| Depends: | R (≥ 1.2.0) |
| Published: | 2012-12-21 |
| 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 |
| Reference manual: | mvnmle.pdf |
| Package source: | mvnmle_0.1-11.tar.gz |
| Windows binaries: | r-devel: mvnmle_0.1-11.zip, r-release: mvnmle_0.1-11.zip, r-oldrel: mvnmle_0.1-11.zip |
| OS X Snow Leopard binaries: | r-release: mvnmle_0.1-11.tgz, r-oldrel: mvnmle_0.1-11.tgz |
| OS X Mavericks binaries: | r-release: mvnmle_0.1-11.tgz |
| Old sources: | mvnmle archive |
| Reverse suggests: | BaylorEdPsych, FAiR |