MLC.CDL.ID.SL.ST: MLC.CDL.ID.SL.ST
In mkamenet3/coefclust: Clustered spatio-temporal varying coefficient regression modeling
Description
Usage
Arguments
Value
Description
Find the spatio-temporal cluster estimate in the simple linear regression for given potential centroids.
Usage
1
MLC.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
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.
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Description Usage Arguments Value
Description
Find the spatio-temporal cluster estimate in the simple linear regression for given potential centroids.
Usage
1 | MLC.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 |
ID |
Indices for potential centroids. |
overlap |
Boolean which is |
Value
Most likely cluster (defined by center and radius) and SSE (error sum of squares).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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