Maximum Likelihood Estimation Routines for Panel Network Autocorrelation Models

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Documentation for package ‘netpanel’ version 0.0.1

• DESCRIPTION file
• Package NEWS
• Package README

Help Pages

coef.pnam	Extract the ML parameter estimates from 'pnam' model fits
fitted.pnam	Fitted values from 'pnam' model fits
logLik.pnam	Extract the estimated model log-likelihood from 'pnam' model fits
mlpnam	Fit a Maximum Likelihood Panel Network Autocorrelation Model (PNAM)
net1	A 'list' of simulated panel social networks (1)
net2	A 'list' of simulated panel social networks (2)
net3	A 'list' of simulated panel social networks (3)
netimpacts	Compute the direct, indirect, and total impacts from a fitted 'pnam' object
netpanel	Maximum Likelihood Estimation Routines for Panel Network Autocorrelation Models
print.pnam	Print Method for 'pnam' model objects.
print.summary.pnam	Print Method for 'summary.pnam' Panel Network Autocorrelation Model Summary
residuals.pnam	Residuals for 'pnam' model fits
simulated.data	Simulated panel network dataset
summary.pnam	Summary Method for 'pnam' Objects
vcov.pnam	Extract the asymptotic variance-covariance matrix from 'pnam' model fits