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

Usage

MLC.CDL2.ID.SL.ST(
  yList,
  xList,
  cdataL,
  sum_x1L,
  sum_x2L,
  cs.xxL.L,
  ID,
  overlap,
  Time,
  N,
  p
)

Arguments

yList	The input data (as a list of vectors).
xList	The input data (as a list of vectors).
cdataL	Pre-defined cdata list which is from List.C.Data(DMatrix,MR).
sum_x1L	List of pre-computed ∑ x_i.
sum_x2L	List of pre-computed ∑ x_i^2.
cs.xxL.L	List of 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
Time	Number of time periods.
N	Number of centroids (subregions).
p	Number of dimensions of original XList.

Value

Most likely cluster (defined by center and radius) and SSE (error sum of squares).

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