dfnbt: Discrete factor analysis for the truncated negative binomial...

In discFA: Discrete Factor Analysis

Discrete factor analysis for the truncated negative binomial distribution (with right truncation at A)

Description

Discrete factor analysis for the truncated negative binomial distribution (with right truncation at A)

Usage

dfnbt(y, A)

Arguments

y	Data, an n by d numeric matrix
A	truncation point (Note that if the data is in Likert scale starting from 1, then you should subtract 1 from the data and then use the proposed negative binomial models.

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 factor
estp0	Estimated value of p for the factor
estr	Estimated value of r for the observation
estp	Estimated value of r for the observation

Examples

dfnbt(zinb100_Data[1:40,1:3], A = 6)

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