| dfzinbt {discFA} | R Documentation |
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)
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. |
tol |
tolerance value for optimizations |
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) |
Examples
dfzinbt(zinb100_Data[1:20,1:3], A = 6)