dfnb {discFA} | R Documentation |
Discrete factor analysis for the negative binomial distribution
Description
Discrete factor analysis for the negative binomial distribution
Usage
dfnb(y)
Arguments
y |
Data, an n by d numeric matrix |
Value
A list with entries
AIC |
AIC value for the optimal model |
indexmat |
Factors and variables in each factor |
estr0 |
Estimated value of r for the negative binomial distributed factor(s) |
estp0 |
Estimated value of p for the negative binomial distributed factor(s) |
estr |
Estimated value of r for the negative binomial distributed observations(s) |
estp |
Estimated value of r for the negative binomial distributed observations(s) |
Examples
dfnb(zinb100_Data[1:40,1:5])
[Package discFA version 1.0.1 Index]