dfzinb | R Documentation |
Discrete factor analysis with the zero inflated negative binomial distribution.
dfzinb(y, tol = 1e-06)
y |
Data, an n by d numeric matrix |
tol |
tolerance value for optimizations |
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) |
dfzinb(zinb100_Data[1:40,1:3])
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.