ALassoSurvIC-internal

canon

fun_arglist

fun_bic

fun_cov_parallel

fun_covij

fun_dq

fun_ddq

fun_est_parallel

fun_ew

fun_less

fun_penSurvIC

fun_unpenSurvIC

fun_shooting_algorithm

fun_updatelambda

log_penlikelihood

fun_hcross

fun_subless

fun_sublr

<p>Internal functions for the ALassoSurvIC package.</p>

Penalized variable selection tools for the Cox
proportional hazards model with interval censored and possibly
left truncated data. It performs variable selection via
penalized nonparametric maximum likelihood estimation with an
adaptive lasso penalty. The optimal thresholding parameter can be
searched by the package based on the profile Bayesian information
criterion (BIC). The asymptotic validity of the methodology is
established in Li et al. (2019 <doi:10.1177/0962280219856238>).
The unpenalized nonparametric maximum likelihood estimation for
interval censored and possibly left truncated data is also
available.

Daewoo Pak

ALassoSurvIC

Adaptive Lasso for the Cox Regression with Interval Censored and
Possibly Left Truncated Data

ALassoSurvIC-internal function

Internal functions for the ALassoSurvIC package — ALassoSurvIC-internal

Internal functions for the ALassoSurvIC package

ALassoSurvIC-internal: Internal functions for the ALassoSurvIC package

Description

Arguments