summary.BinaryEPPM {BinaryEPPM} | R Documentation |
Summary of BinaryEPPM Objects
Description
This function is generic. Summary of objects of class "BinaryEPPM".
Usage
## S3 method for class 'BinaryEPPM'
summary(object, ...)
Arguments
object |
Fitted model object of class "BinaryEPPM". |
... |
some methods for this generic function require additional arguments. |
Details
Similar output to that of summary.glm
"summary.glm" and summary.betareg
Cribari-Neto and Zeileis (2010).
Value
An object of class "summaryBinaryEPPM" is constructed. This object has the following attributes.
data.type |
Indicator of the type of data either 0 "data.frame" or 1 "list". |
call |
The "call" to the function "BinaryEPPM". |
formula |
The model formula in "call". |
model.type |
The model type in "call". |
model.name |
The model name in "call". |
link |
The link function in "call". |
offset.p |
The vector of offsets for the model for p. |
offset.scalef |
The vector of offsets for the model for scale-factor. |
coeff.table.p |
The coefficients of the fitted model for p. |
coeff.table.scalef |
The coefficients of the fitted model for scale-factor. |
loglik |
The log-likelihood of the fitted model. |
n |
The number of observations. Relabelled duplication of "nobs" needed when calling function "lrtest". |
nobs |
The number of observations. |
df.null |
The degrees of freedom of the null model. |
df.residual |
The degrees of freedom of the residual model. |
vnmax |
Vector of number of "trials" in each observation. |
weights |
Vector of weights for observation. |
converged |
Indicator of convergence. |
method |
Method used to calculate pseudo.r.squared. |
pseudo.r.squared |
The value of the coefficient of determination r squared. |
optim |
Final model fit. |
control |
Control parameters for optimization function "optim". |
fitted.values |
The fitted values. |
y |
The dependent variable in the model. |
terms |
The terms in the model. |
npar |
The number of parameters in the model. |
Author(s)
David M. Smith <dmccsmith@verizon.net>
References
Cribari-Neto F, Zeileis A. (2010). Beta Regression in R. Journal of Statistical Software, 34(2), 1-24. doi:10.18637/jss.v034.i02.
See Also
summary.betareg
print.summaryBinaryEPPM