GOFaplsm: Assess the fit of the APLSM

In selenashuowang/jlsm: Joint Latent Space Model for Social Networks with Multivariate Attributes

Description

assess the fit of the model using ROC curves and auc values

Usage

GOFaplsm(model, type, Y.i, Y.ia)

Arguments

model	object of class the APLSM
type	character indicating the types of model. It could be "DD", distance by distance model, "DV", distance by vector model, "VV", vector by vector model
Y.i	N by N matrix containing the binary social network
Y.ia	N by M matrix containing the binary multivariate attributes

Value

list containing:

• Yi.auc scaler of the area under the curve for the social network

• Ya.auc scaler of the area under the curve for the multivariate covariates

Examples

attach(french)
b=aplsm(Niter=3,Y.i, Y.ia,D=2, type="DD")
GOFaplsm(b, "DD",Y.i, Y.ia)

selenashuowang/jlsm documentation built on Feb. 20, 2021, 6:39 a.m.