ic_exhaustive: Exhaustive Information Criteria for PLS Path Models

Description Usage Arguments Value See Also Examples

View source: R/infCriteria.R

Description

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

Usage

1
2
3
4
5
6
7
ic_exhaustive(object, LV, criteria, ...)

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

## S3 method for class 'ic_exhaustive'
print(x, minlength, digits, ...)

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.

x

object of class ic_exhaustive

minlength

the minimum length of the abbreviations

digits

specifies the minimum number of significant digits to be printed in values, see print.default

...

Arguments to pass down to other methods.

Value

ic

A numeric matrix containing the information criteria in the columns and models in the rows with respect to the focal component (latent variable).

all_fits

A list of all fitted models resulting from an exhaustive search for the focal component (latent variable)

See Also

ic, sempls

Examples

1
2
3
4
5
6
7
library("semPLS")
data(ECSImobi)
ecsi <- sempls(ECSImobi, mobi, wscheme="centroid")

### ic - information criteria
## All criteria for 'all' models
ic_exhaustive(ecsi, LV = "Satisfaction")

semPLSModelSelection documentation built on May 31, 2017, 3:41 a.m.

Search within the semPLSModelSelection package
Search all R packages, documentation and source code