ltr_reg_clus: left to right linear regression clustering
In hhsmm: Hidden Hybrid Markov/Semi-Markov Model Fitting
ltr_reg_clus R Documentation
left to right linear regression clustering
Description
A left to right initial linear regression clustering method using the
coefficient differences and Hotelling's T-squared test
Usage
ltr_reg_clus(Dat, k, resp.ind = 1)
Arguments
Dat
a data matrix
k
number of clusters
resp.ind
the column indices of the response variables for the linear regression clustering approach. The
default is 1, which means that the first column is the univariate response variable
Value
a (left to right) clustering vector
Author(s)
Morteza Amini, morteza.amini@ut.ac.ir
hhsmm documentation built on Sept. 11, 2024, 7:34 p.m.
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| ltr_reg_clus | R Documentation |
left to right linear regression clustering
Description
A left to right initial linear regression clustering method using the coefficient differences and Hotelling's T-squared test
Usage
ltr_reg_clus(Dat, k, resp.ind = 1)
Arguments
Dat |
a data matrix |
k |
number of clusters |
resp.ind |
the column indices of the response variables for the linear regression clustering approach. The default is 1, which means that the first column is the univariate response variable |
Value
a (left to right) clustering vector
Author(s)
Morteza Amini, morteza.amini@ut.ac.ir
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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