summary.hurdle {pscl} | R Documentation |
summary
methods for class "hurdle"
## S3 method for class 'hurdle': summary(object,...) ## S3 method for class 'summary.hurdle': print(x, digits = max(3,getOption("digits")-3), ...)
object |
object inheriting from class "hurdle" |
x |
an object of class "summary.hurdle" , usually a result
of a call to summary.hurdle |
digits |
the number of significant digits to use when printing |
... |
further arguments passed to or from other methods |
print.summary.hurdle
tries to be smart about formatting the
display of the MLEs, standard errors, etc, essentially using the same
code as appears in link{print.summary.lm}
The function summary.hurdle
computes and returns a list of
summary statistics from the zero-inflated regression model, including
coefficents |
a matrix, with columns for the MLEs, their standard errors, z-statistic, and corresponding (two-sided) p-value. |
vc |
The estimated variance-covariance matrix of the MLEs |
beta |
The MLEs from the count component of the model |
gamma |
The MLEs from the hurdle component of the model |
theta |
If a negative binomial count model is fit, the MLE of the over-dispersion parameter |
llh |
The value of the log-likelihood function at the MLEs |
Simon Jackman <jackman@stanford.edu>
data(bioChemists) hp <- hurdle(count=art ~ ., x = ~ fem + mar + kid5 + phd + ment, z = ~ fem + mar + kid5 + phd + ment, data=bioChemists,trace=TRUE) summary(hp) hnb <- hurdle(count=art ~ ., x = ~ fem + mar + kid5 + phd + ment, z = ~ fem + mar + kid5 + phd + ment, dist="negbin", data=bioChemists,trace=TRUE) summary(hnb)