Additional options for computing penalized EN S-estimates. Superseded by mm_algorithm_options() and options supplied directly to pense().

pense_options(
delta = 0.25,
maxit = 1000,
eps = 1e-06,
mscale_eps = 1e-08,
mscale_maxit = 200,
verbosity = 0,
cc = NULL,
en_correction = TRUE
)

## Arguments

delta desired breakdown point of the resulting estimator. maximum number of iterations allowed. numeric tolerance for convergence. maximum number of iterations and numeric tolerance for the M-scale. ignored. Verbosity of the algorithm. ignored. Tuning constant for the S-estimator. Default is to chosen based on the breakdown point delta. Should never have to be changed. ignored. Should the corrected EN estimator be used to choose the optimal lambda with CV. If TRUE, as by default, the estimator is "bias corrected".

## Warning

Do not use this function in new code. It may be removed from future versions of the package.

Other deprecated functions: deprecated_en_options, enpy(), initest_options(), mstep_options(), pensem()