MLC.CDL2.ID.SL: MLC.CDL2.ID.SL

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

Description

Find the most likely cluster in the simple linear regression for given potential centroids.

Usage

MLC.CDL2.ID.SL(y, x, cdataL, sum_x1, sum_x2, cs.xxL, ID, overlap)

Arguments

y	The input data (in vector format).
x	The input data (in vector format).
cdataL	Pre-defined cdata list which is from List.C.Data(DMatrix,MR).
sum_x1	Pre-computed ∑ x_i.
sum_x2	Pre-computed ∑ x_i^2.
cs.xxL	Pre-computed cs.xx list which is from cum.sum.scalar1(xc).
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.