lmm (1.2)

0 users

Linear Mixed Models.


It implements Expectation/Conditional Maximization Either (ECME) and rapidly converging algorithms as well as Bayesian inference for linear mixed models, which is described in Schafer, J.L. (1998) "Some improved procedures for linear mixed models". Dept. of Statistics, The Pennsylvania State University.

Maintainer: Jing Hua Zhao
Author(s): Original by Joseph L. Schafer

License: Unlimited

Uses: Does not use any package

Released almost 2 years ago.

7 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of lmm yet. Want to be the first? Write one now.

Related packages: arm, BMA, exactLoglinTest, Hmisc, lme4, mgcv, MNP, pscl, sna, MCMCglmm, BACCO, BaM, bayesGARCH, bayesm, bayesmix, BayHaz, BAYSTAR, BayesTree, BayesValidate, BCE(20 best matches, based on common tags.)

Search for lmm on google, google scholar, r-help, r-devel.

Visit lmm on R Graphical Manual.