summary.BBest: Summarizes a BBest class model.

Description Usage Arguments Details Value Author(s) References See Also Examples

Description

summary.BBest si the BBest specific method for the generic function summary which summarizes objects returned by modelling functions.

Usage

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## 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

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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)

HRQoL documentation built on May 2, 2019, 5:42 a.m.

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