summary.ndrlm: Summary function of Generalized Network-based Dimensionality...

In kzst/nda: Generalized Network-Based Dimensionality Reduction and Analysis

Summary function of Generalized Network-based Dimensionality Reduction and Linear Regression Model (NDRLM)

Description

Print summary of Generalized Network-based Dimensionality Reduction and Linear Regression Model (NDRLM)

Usage

## S3 method for class 'ndrlm'
summary(object, digits = getOption("digits"), ...)

Arguments

object	an object of class 'ndrlm'.
digits	the number of significant digits to use when add.stats = TRUE.
...	additional arguments affecting the summary produced.

Value

Call	Callback function
fval	Objective function for fitting
pareto	in the case of multiple objectives TRUE (default value) provides pareto-optimal solution, while FALSE provides weighted mean of objective functions (see out_weights)
X	A numeric data frame of input variables
Y	A numeric data frame of output variables
NDA	GNDA object, which is the result of model reduction and features selection
fits	List of linear regrassion models
NDA_weight	Weights of input variables (used in ndr)
NDA_min_evalue	Optimized minimal eigenvector centrality value (used in ndr)
NDA_min_communality	Optimized minimal communality value of indicators (used in ndr)
NDA_com_communalities	Optimized minimal common communalities (used in ndr)
NDA_min_R	Optimized minimal square correlation between indicators (used in ndr)
NSGA	Outpot structure of NSGA-II optimization (list), if the optimization value is true (see in mco::nsga2)
fn	Function (regression) name: NDLM

Author(s)

Zsolt T. Kosztyan*, Marcell T. Kurbucz, Attila I. Katona

e-mail*: [e-mail]

References

Kosztyán, Z. T., Katona, A. I., Kurbucz, M. T., & Lantos, Z. (2024). Generalized network-based dimensionality analysis. Expert Systems with Applications, 238, 121779. <URL: https://doi.org/10.1016/j.eswa.2023.121779>.

See Also

biplot, plot, print, ndrlm.

Examples

# Example of summary function of NDRLM without optimization of fittings

X<-freeny.x
Y<-freeny.y
NDRLM<-ndrlm(Y,X,optimize=FALSE)
summary(NDRLM)

kzst/nda documentation built on Dec. 16, 2024, 7:02 a.m.