summary.BBest: Summarizes a BBest class model.

In PROreg: Patient Reported Outcomes Regression Analysis

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

BBest

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)

PROreg documentation built on July 12, 2022, 5:06 p.m.