Last data update: 2014.03.03
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R: Summary of a Fitted Partially Linear Mixed Effects Model.
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
## S3 method for class 'plmm'
summary(object,...)
## S3 method for class 'wplmm'
summary(object,...)
Arguments
object |
a model fitted with plmm or wplmm .
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... |
other arguments.
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Value
coefficients |
estimated regression coefficients.
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var.comp |
estimated variance components.
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h.nonpar |
the bandwidths used to estimate the nonparametric component in the final iteration.
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var.fun.h |
(only if object is of the ‘wplmm’ class) the bandwidths used to estimate the variance function.
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iter |
(only if object is of the ‘plmm’ class) the number of iterations.
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formula |
formula passed to plmm .
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call |
the matched call to plmm or wplmm that returned the object .
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plmm.call |
(only if object is of the ‘wplmm’ class) the matched call to plmm that returned the object .
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heteroX |
(only if object is of the ‘wplmm’ class) the names of the heteroskedasticity conditioning variables.
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See Also
plmm , wplmm
Examples
data(plmm.data)
model <- plmm(y0~x1+x2+x3|t1, random=cluster, data=plmm.data)
summary(model)
Results
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