Fstat.CDL.ID.SL1.ST: Fstat.CDL.ID.SL1.ST

In mkamenet3/coefclust: Clustered spatio-temporal varying coefficient regression modeling

Description

Find the spatio-temporal cluster estimate in the simple linear regression for given potential centroids in the slope: different slope and different intercept.

Usage

Fstat.CDL.ID.SL1.ST(yList, XList, cdataL, ID, overlap)

Arguments

yList	The input data (as a list of vectors).
XList	The input data (as a list of matrices).
cdataL	Pre-defined cdata list which is from List.C.Data(DMatrix,MR).
ID	Indices for potential centroids.
overlap	Boolean which is TRUE for overlapping clusters / FALSE for non-overlapping clusters

Value

Most likely cluster (defined by center and radius), sum of squared errors 1 (from model which has clusters in intercept only), sum of squared errors 2 (from the model which has the cluster in both the intercept and slope), maximum F-statistic of the slope.

mkamenet3/coefclust documentation built on June 28, 2020, 10:41 a.m.