dfzinb {discFA}

Discrete factor analysis with the zero inflated negative binomial distribution.

Description

Discrete factor analysis with the zero inflated negative binomial distribution.

Usage

dfzinb(y, tol = 1e-06)

Arguments

y

Data, an n by d numeric matrix

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

dfzinb(zinb100_Data[1:40,1:3])