MLC.CDL.ID.1AOVbi: MLC.CDL.ID.1AOVbi

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

Description

Find the most likely cluster in the one-way ANOVA with a binary covariate for given potential centroids.

Usage

MLC.CDL.ID.1AOVbi(y, X, cdataL, ID, overlap)

Arguments

y	The input data (in vector format, 2N-by-1).
X	The input data (in matrix format, 2N-by-2).
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) and \hat{σ}^2.

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