## S3 method for class 'pgam':
logLik(object, ...)
Arguments
object
object of class pgam holding the fitted model
...
further arguments passed to method
Value
The maximum value achieved by the likelihood optimization process.
Details
See pgam.likelihood for more information on log-likelihood evaluation in Poisson-Gamma models.
References
Harvey, A. C., Fernandes, C. (1989) Time series models for count data or qualitative observations. Journal of Business and Economic Statistics, 7(4):407--417
Campos, E. L., De Leon, A. C. M. P., Fernandes, C. A. C. (2003) Modelo Poisson-Gama para S�ries Temporais de Dados de Contagem - Teoria e Aplica��es. 10a ESTE - Escola de S�ries Temporais e Econometria
Junger, W. L. (2004) Modelo Poisson-Gama Semi-Param�trico: Uma Abordagem de Penaliza��o por Rugosidade. MSc Thesis. Rio de Janeiro, PUC-Rio, Departamento de Engenharia El�trica
library(pgam)
data(aihrio)
attach(aihrio)
form <- ITRESP5~f(WEEK)+HOLIDAYS+rain+PM+g(tmpmax,7)+g(wet,3)
m <- pgam(form,aihrio,omega=.8,beta=.01,maxit=1e2,eps=1e-4,optim.method="BFGS")
logLik(m)