dfzinbt: Discrete factor analysis with the zero inflated truncated negative binomial distribution.
Description
Discrete factor analysis with the zero inflated truncated negative binomial distribution.
Usage
dfzinbt(y, A, tol = 1e-06)
Value
A list with entries.
AIC
AIC value for the optimal model
indexmat
Factors and variables in each factor
estpi0
Estimated value of p for the zero inflated part in the negative binomial distributed factor
estr0
Estimated value of r the negative binomial distributed factor(s)
estp0
Estimated value of p the negative binomial distributed factor(s)
estpi
Estimated parameters for the zero inflated part in the negative binomial distributed observations(s)
estr
Estimated value of r negative binomial distributed observations(s)
estp
Estimated value of p negative binomial distributed observations(s)
Arguments
y
Data, an n by d numeric matrix
A
truncation point (Note that if the data is in Likert scale
starting from 1, then you should subtract 1 from the data and then use the
proposed negative binomial models.