FSReda_control {fsdaR} | R Documentation |
Creates an FSReda_control
object
Description
Creates an object of class FSReda_control
to be used with the fsreg()
function,
containing various control parameters.
Usage
FSReda_control(intercept = TRUE, init, nocheck = FALSE,
tstat = c("trad", "scal"), conflev = c(0.95, 0.99))
Arguments
intercept |
Indicator for constant term. Scalar. If |
init |
Search initialization, scalar. It specifies the initial subset size to
start monitoring exceedances of minimum deletion residual, if init is
not specified it set equal to: |
nocheck |
Check input arguments, scalar. If |
tstat |
The kind of t-statistics which have to be monitored.
|
conflev |
Confidence level which is used to declare units as outliers. Usually conflev=0.95, 0.975, 0.99 (individual alpha) or conflev=1-0.05/n, 1-0.025/n, 1-0.01/n (simultaneous alpha). Default value is 0.975. |
Details
Creates an object of class FSReda_control
to be used with the fsreg()
function,
containing various control parameters.
Value
An object of class "FSReda_control"
which is basically a
list
with components the input arguments of
the function mapped accordingly to the corresponding Matlab function.
Author(s)
FSDA team
See Also
See Also as FSR_control
, MMreg_control
and LXS_control
Examples
## Not run:
data(hbk, package="robustbase")
(out <- fsreg(Y~., data=hbk, method="FS", monitoring=TRUE,
control=FSReda_control(tstat="scal")))
## End(Not run)