summary.BBest: 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 BBest
summary(object, ...)

Arguments

object

a BBest class model.

...

for extra arguments.

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.

the maximum score number in each beta-binomial observation.

Details

summary.BBest summarizes all the relevant information about the estimation of the parameters in a BBest class model.

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

Examples

Run this code

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)

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