fit.binomialBeta {QRMlib}R Documentation

Fit Beta-Binomial Distribution to defaults and obligors

Description

fit a beta-binomial distribution by maximum likelihood

Usage

fit.binomialBeta(M, m, startvals=c(2, 2), ses=FALSE)

Arguments

M vector of numbers of successes (defaults)
m vector of numbers of trials (obligors). M and m vectors will have equal length which represents the number of different credit classifications/ratings
startvals starting values for parameter estimates
ses whether standard errors should be calculated

Value

list containing parameter estimates and details of fit

Author(s)

documentation by Scott Ulman for R-language distribution

See Also

fit.binomial, fit.binomialLogitnorm, fit.binomialProbitnorm

Examples

data(spdata.raw);
spdata.raw; 
#attach data so we don't have to qualify the data column names:
attach(spdata.raw); 
BdefaultRate <- Bdefaults/Bobligors; 
mod1 <- fit.binomialBeta(Bdefaults, Bobligors); 

[Package QRMlib version 1.4.4 Index]