ic: Information Criteria for PLS Path Models

In semPLSModelSelection: Structural Equation Modeling Using Partial Least Squares

Description

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

Usage

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

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")

semPLSModelSelection documentation built on May 2, 2019, 5:28 p.m.