Description Usage Arguments Value See Also Examples
The function computes a variety of information criteria for PLS path models.
1 2 3 4 |
object |
an object of class |
LV |
the focal component (latent variable) |
criteria |
A |
... |
Argument to pass down to other methods. Currently not used. |
The function returns a numeric
vector for the calculated
information criteria of the model of the focal component (latent
variable).
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | 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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