mvnmle (0.1-11.1)
ML Estimation for Multivariate Normal Data with Missing Values.
http://cran.r-project.org/web/packages/mvnmle
Finds the maximum likelihood estimate of the mean vector and variance-covariance matrix for multivariate normal data with missing values.
Maintainer:
ORPHANED
Author(s): Kevin Gross, with help from Douglas Bates
License: GPL (>= 2)
Uses: Does not use any package
Reverse suggests: BaylorEdPsych, FAiR
Released about 1 year ago.
4 previous versions
- mvnmle_0.1-11. Released over 6 years ago.
- mvnmle_0.1-10. Released about 8 years ago.
- mvnmle_0.1-8. Released over 2018 years ago.
- mvnmle_0.1-6. Released over 2018 years ago.
Ratings
Overall: |
|
Documentation: |
|
Log in to vote.
Reviews
No one has written a review of mvnmle yet. Want to be the first? Write one now.
Related packages: car, dr, gmodels, Hmisc, mice, mitools, mix, MNP, pan, vcd, VGAM, VIM, class, MASS, abind, ade4, amap, aplpack, ash, bayesm … (20 best matches, based on common tags.)
Search for mvnmle on google, google scholar, r-help, r-devel.
Visit mvnmle on R Graphical Manual.
