dfnb: Discrete factor analysis for the negative binomial...

In discFA: Discrete Factor Analysis

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])

discFA documentation built on May 29, 2024, 3:11 a.m.