lmer.mi {mi} | R Documentation |
Fit A Linear Mixed Model or A Generalized Linear Mixed Model that pulls together the estimates from multiple imputed dataset.
lmer.mi(formula, mi.object, rescale=FALSE, ...) glmer.mi(formula, mi.object, family = gaussian, rescale=FALSE, ...) ## S3 method for class 'mi.mer': print(x, ...) ## S4 method for signature 'mi.mer': coef(object) ## S4 method for signature 'mi.mer': se.coef(object) ## S4 method for signature 'mi.mer': display(object, digits=2)
formula |
See lmer for detail. |
mi.object |
mi object. |
family |
See lmer for detail. |
rescale |
default is FALSE, see rescale for detail. |
x |
mi.mer object. |
object |
mi.mer object. |
digits |
number of significant digits to display, default=2. |
... |
Any option to pass on to lmer function. |
See lmer
.
call |
the matched call. |
mi.pooled |
pulled estimates from the multiple dataset. |
mi.fit |
estimates from each dataset. See lmer for details. |
Masanao Yajima yajima@stat.columbia.edu, Yu-Sung Su ys463@columbia.edu, M.Grazia Pittau grazia@stat.columbia.edu, Andrew Gelman gelman@stat.columbia.edu
Andrew Gelman and Jennifer Hill, Data Analysis Using Regression and Multilevel/Hierarchical Models, Cambridge University Press, 2007.