plmm (version 0.1-1)

summary: Summary of a Fitted Partially Linear Mixed Effects Model.

Description

Summarize a partially linear mixed effects model fitted using a model fitting function plmm or wplmm.

Usage

"summary"(object,...)
"summary"(object,...)

Arguments

object

a model fitted with plmm or wplmm.

...

other arguments.

Value

coefficients

estimated regression coefficients.

var.comp

estimated variance components.

h.nonpar

the bandwidths used to estimate the nonparametric component in the final iteration.

var.fun.h

(only if object is of the ‘wplmm’ class) the bandwidths used to estimate the variance function.

iter

(only if object is of the ‘plmm’ class) the number of iterations.

formula

formula passed to plmm.

call

the matched call to plmm or wplmm that returned the object.

plmm.call

(only if object is of the ‘wplmm’ class) the matched call to plmm that returned the object.

heteroX

(only if object is of the ‘wplmm’ class) the names of the heteroskedasticity conditioning variables.

See Also

plmm, wplmm

Examples

data(plmm.data)
model <- plmm(y0~x1+x2+x3|t1, random=cluster, data=plmm.data)
summary(model)