TStg.CDL.ID.SL.ST: TStg.CDL.ID.SL.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 (1st Stage) and the intercept (2nd stage).

Usage

TStg.CDL.ID.SL.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

List of most likely clusters. First element contains information for the most likely cluster based on slope. The second element contains information for the most likely cluster based on intercept. For each element (slope and intercept), MLC center and radius, SSE (error sum of squares) for the slope/intercept, sum of squared error (from the model which has the cluster in both the intercept and slope), and max F-statistic for the slope/intercept.

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