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

In plmm: Partially Linear Mixed Effects Model

Description

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

Usage

## S3 method for class 'plmm'
summary(object,...)
## S3 method for class 'wplmm'
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)

plmm documentation built on May 2, 2019, 7:29 a.m.