| summary.BBest {PROreg} | R Documentation |
Summarizes a BBest class model.
Description
summary.BBest si the BBest specific method for the generic function summary which summarizes objects returned by modelling functions.
Usage
## S3 method for class 'BBest'
summary(object, ...)
Arguments
object |
a BBest class model. |
... |
for extra arguments. |
Details
summary.BBest summarizes all the relevant information about the estimation of the parameters in a BBest class model.
Value
summary.BBest returns an object of class "summary.BBest".
coefficients |
a table with the estimated parameters is in the BBest class model. |
p.coefficients |
a summarized table of the estimation of the probability parameter of the beta-binomial distribution. The table contents the estimation of the probability parameter and the standard errors of the estimations. |
psi.coefficients |
a summarized table of the estimation of the logarithm of the dispersion parameter of the beta-binomial distribution. The table contents the estimation of the logarithm of the dispersion parameter and the standard errors of the estimations. |
m |
the maximum score number in each beta-binomial observation. |
Author(s)
J. Najera-Zuloaga
D.-J. Lee
I. Arostegui
References
Arostegui I., Nunez-Anton V. & Quintana J. M. (2006): Analysis of short-form-36 (SF-36): The beta-binomial distribution approach, Statistics in Medicine, 26, 1318-1342
See Also
Examples
set.seed(9)
# Simulate a binomial distribution
y <- rBB(100,10,0.5,2)
# Apply the model
model <- BBest(y,10)
sum.model <- summary(model)