predict
Predict response of linear mixed-effects model
Syntax
Description
returns
a vector of conditional predicted
responses ypred
= predict(lme
)ypred
at the original predictors
used to fit the linear mixed-effects model lme
.
returns
a vector of conditional predicted responses ypred
= predict(lme
,tblnew
)ypred
from
the fitted linear mixed-effects model lme
at the
values in the new table or dataset array tblnew
.
Use a table or dataset array for predict
if you
use a table or dataset array for fitting the model lme
.
If a particular grouping variable in tblnew
has
levels that are not in the original data, then the random effects
for that grouping variable do not contribute to the 'Conditional'
prediction
at observations where the grouping variable has new levels.
returns
a vector of conditional predicted responses ypred
= predict(lme
,Xnew
,Znew
)ypred
from
the fitted linear mixed-effects model lme
at the
values in the new fixed- and random-effects design matrices, Xnew
and Znew
,
respectively. Znew
can also be a cell array of
matrices. In this case, the grouping variable G
is ones(n,1)
,
where n is the number of observations used in the
fit.
Use the matrix format for predict
if using
design matrices for fitting the model lme
.
returns
a vector of conditional predicted responses ypred
= predict(lme
,Xnew
,Znew
,Gnew
)ypred
from
the fitted linear mixed-effects model lme
at the
values in the new fixed- and random-effects design matrices, Xnew
and Znew
,
respectively, and the grouping variable Gnew
.
Znew
and Gnew
can also
be cell arrays of matrices and grouping variables, respectively.
returns
a vector of predicted responses ypred
= predict(___,Name,Value
)ypred
from the
fitted linear mixed-effects model lme
with additional
options specified by one or more Name,Value
pair
arguments.
For example, you can specify the confidence level, simultaneous confidence bounds, or contributions from only fixed effects.
Examples
Input Arguments
Output Arguments
More About
Version History
Introduced in R2013b