summary.dcs {DCSmooth}  R Documentation 
summary
method for class "dcs"
## S3 method for class 'dcs'
summary(object, ...)
object 
an object of class "dcs", usually, a result of a call to

... 
Additional arguments passed to the 
The function summary.dcs
returns an object of class
summary_dcs
including
h_opt  estimated optimal bandwidth from the IPIprocedure. 
c_f  estimated variance factor. 
iterations  number of iterations of the IPIprocedure. 
time_used  time spend searching for optimal bandwidths (not overall runtime of the function). 
var_est  estimated variance model. Has class "sarma" if an SARMA model is used and class "sfarima" if an SFARIMA model is used. 
var_model_id  identifier for the variance model estimated. 
var_model_order  order of the estimated variance model, if either SARMA or SFARIMA is used. 
dcs_options  an object of class cds_options containing the
initial options of the dcs procedure. 
summary.dcs
strips an object of class "dcs"
from all large
matrices (Y
, X
, T
, M
, R
), allowing
for easier handling of metastatistics of the bandwidth selection procedure.
print.summary_dcs
returns a list of summary statistics
from the dcs procedure. The output depends on the use of the dcs

function. If automatic bandwidth selection is chosen, summary.dcs
prints detailed statistics of the type of regression, the estimated
bandwidths h_x
, h_t
, the variance coefficient c_f
and
performance statistics such as the number of iterations of the IPIalgorithm
and the time used for bandwidth selection.
The method used for estimation of the variance coefficient is printed and the results of an SARMA/SFARIMAestimation, if available.
If bandwidths are supplied to dcs
, summary.dcs
only prints
the given bandwidths.
y < y.norm1 + matrix(rnorm(101^2), nrow = 101, ncol = 101)
dcs_object < dcs(y)
summary(dcs_object)