get.var
: Get indicesGet the indices of the variables selected by the algorithm
get.var(candidate.index, xs, ys, family, gvif)
Indices of the candidate set
Standardized independent variables
Standardized dependent variable
A description of the error distribution and link function to be
used in the model. It can take the value of \code{gaussian}
, \code{binomial}
,
\code{poisson}
, and \code{cox}
.
A logical operator indicating whether a generalized variance inflation factor-adjusted null bound is used. Default is FALSE.
A list of following components:
A vector of indices of selected variables
Null bound in the SGPV screening
Point estimates in the candidate set
Lower bounds of effect estimates in the candidate set
Upper bounds of effect estimates in the candidate set