summary.femlm.allClusters: Summary method for cluster coefficients

In FENmlm: Fixed Effects Nonlinear Maximum Likelihood Models

Summary method for cluster coefficients

Description

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.

Usage

## S3 method for class 'femlm.allClusters'
summary(object, n = 5, ...)

Arguments

object	An object returned by the function getFE.
n	Positive integer, defaults to 5. The n first fixed-effects for each cluster are reported.
...	Not currently used.

Value

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.

Author(s)

Laurent Berge

See Also

femlm, getFE, plot.femlm.allClusters.

Examples

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

FENmlm documentation built on Aug. 22, 2023, 5:11 p.m.