print.bess

Print the primary elements of the "<code>bess</code>" object.

An implementation of best subset selection in generalized linear model and Cox proportional hazard model via the primal dual active set algorithm proposed by Wen, C., Zhang, A., Quan, S. and Wang, X. (2020) <doi:10.18637/jss.v094.i04>. The algorithm formulates coefficient parameters and residuals as primal and dual variables and utilizes efficient active set selection strategies based on the complementarity of the primal and dual variables.

Canhong Wen

BeSS

Best Subset Selection in Linear, Logistic and CoxPH Models

Aijun Zhang

Shijie Quan

Xueqin Wang

print.bess function

<dl> <dt>x</dt>
<dd>a "<code>bess</code>" object</dd> <dt>...</dt>
<dd>additional print arguments</dd></dl>

Arguments

Canhong Wen, Aijun Zhang, Shijie Quan, and Xueqin Wang.

Author

print method for a "bess" object — print.bess

<dl>

 <dt>x</dt>
<dd>a "<code>bess</code>" object</dd>

 <dt>...</dt>
<dd>additional print arguments</dd>

</dl>

print.bess: print method for a "bess" object

Description

Usage

Arguments

Author

References

See Also

Examples