Information Criteria for PLS Path Models

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Description

The function computes a variety of information criteria for PLS path models.

Usage

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ic(object, LV, criteria, ...)

## S3 method for class 'sempls'
ic(object, LV, criteria, ...)

Arguments

object

an object of class sempls

LV

the focal component (latent variable)

criteria

A character vector naming the information criteria to calculate, see details.

...

Argument to pass down to other methods. Currently not used.

Value

The function returns a numeric vector for the calculated information criteria of the model of the focal component (latent variable).

See Also

ic_exhaustive, sempls

Examples

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library("semPLS")
data(ECSImobi)
ecsi <- sempls(ECSImobi, mobi, wscheme="centroid")


### ic - information criteria

## All criteria
ic(ecsi, LV = "Satisfaction")
ic(ecsi, LV = "Loyalty")

## Final Prediction Error
ic(ecsi, LV = "Satisfaction", criteria = "FPE")


## Adjusted R-sq
ic(ecsi, LV = "Satisfaction", criteria = "AdjRsq")


## AIC
ic(ecsi, LV = "Satisfaction", criteria = "AIC")
ic(ecsi, LV = "Satisfaction", criteria = "AIC2")

## Unbiased AIC
ic(ecsi, LV = "Satisfaction", criteria = "AICu")

## Corrected AIC
ic(ecsi, LV = "Satisfaction", criteria = "AICc")

## Bayesian IC
ic(ecsi, LV = "Satisfaction", criteria = "BIC")
ic(ecsi, LV = "Satisfaction", criteria = "BIC2")

## Hannan Quinn
ic(ecsi, LV = "Satisfaction", criteria = "HQ")

## Corrected Hannan Quinn
ic(ecsi, LV = "Satisfaction", criteria = "HQc")

## CP
ic(ecsi, LV = "Satisfaction", criteria = "Cp")

## GM
ic(ecsi, LV = "Satisfaction", criteria = "GM")

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