dfpt: Discrete factor analysis with the truncated Poisson...

In discFA: Discrete Factor Analysis

Discrete factor analysis with the truncated Poisson distribution

Description

Discrete factor analysis with the truncated Poisson distribution

Usage

dfpt(y, A = NULL)

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
estlambda	Estimated parameters for factors
estmu	Estimated parameters for each variable within each factor

Examples

dfpt(y = car_data[,1:5], A = 5)

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