This function summarizes the main characteristics of the cluster coefficients. It shows the number of fixed-effects that have been set as references and the first elements of the fixed-effects.
# S3 method for femlm.allClusters
summary(object, n = 5, ...)It prints the number of fixed-effect coefficients per cluster, as well as the number of fixed-effects used as references for each cluster, and the mean and variance of the cluster coefficients. Finally it reports the first 5 elements of each cluster.
An object returned by the function getFE.
Positive integer, defaults to 5. The n first fixed-effects for each cluster are reported.
Not currently used.
Laurent Berge
femlm, getFE, plot.femlm.allClusters.
data(trade)
# We estimate the effect of distance on trade
# => we account for 3 cluster effects
est_pois = femlm(Euros ~ log(dist_km)|Origin+Destination+Product, trade)
# obtaining the cluster coefficients
fe_trade = getFE(est_pois)
# printing some summary information on the cluster coefficients:
fe_trade
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