extract.object {clustEff} | R Documentation |
extract.object
fits a multivariate quantile regression and extracts objects for the cluster effects algorithm.
extract.object
fits a multivariate quantile regression and extracts objects for the cluster effects algorithm.
extract.object(Y, X, intercept=TRUE, formula.p=~slp(p, 3), s, object, p, which)
Y |
A multivariate response matrix of dimension n x q1, or a vector of length n. |
X |
The covariates matrix of dimension n x q2. |
intercept |
If TRUE, the intercept is included in the model. |
formula.p |
a one-sided formula of the form |
s |
An optional 0/1 matrix that allows to exclude some model coefficients (see ‘Examples’). |
object |
An object of class “ |
p |
The percentiles used in quantile regression coefficient modeling. If missing a default sequence is choosen. |
which |
If fixed, only the selected covariates are extraced from the model. If missing all the covariates are extracted. |
A list of objects useful to run the cluster effect algorithm is created.
p |
The percentiles used in the quantile regression. |
X |
A list containing as many matrices as covariates, where for each matrix the number of columns corresponds to the number of the responses. Each column of a matrix corresponds to one curve effect. In the case of a univariate model it is a unique matrix. |
Xl |
A list as X. Each column of a matrix corresponds to the lower interval of the curve effect. In the case of a univariate model it is a unique matrix. |
Xr |
A list as X. Each column of a matrix corresponds to the upper interval of the curve effect. In the case of a univariate model it is a unique matrix. |
Gianluca Sottile gianluca.sottile@unipa.it
clustEff
, for clustering algorithm; summary.clustEff
and plot.clustEff
, for summarizing and plotting clustEff
objects.
# using simulated data
# see the documentation for 'clustEff'