powered by
Discrete factor analysis with the zero inflated negative binomial distribution.
dfzinb(y, tol = 1e-06)
A list with entries
AIC value for the optimal model
Factors and variables in each factor
Estimated value of p for the zero inflated part in the negative binomial distributed factor
Estimated value of r the negative binomial distributed factor(s)
Estimated value of p the negative binomial distributed factor(s)
Estimated parameters for the zero inflated part in the negative binomial distributed observations(s)
Estimated value of r negative binomial distributed observations(s)
Estimated value of p negative binomial distributed observations(s)
Data, an n by d numeric matrix
tolerance value for optimizations
dfzinb(zinb100_Data[1:40,1:3])
Run the code above in your browser using DataLab