MPL Proportional Hazards Regression Object

Objects returned by [coxph_mpl()] represent proportional hazards models fitted via maximum penalised likelihood. They provide methods for print, summary, plot, residuals, and predict.

Format

A list with the following elements:

coef

List with regression estimates (Beta) of length \(p\) and baseline hazard estimates (Theta) of length \(m\).

se

List with standard-error matrices for Beta and Theta across inference methods.

covar

List of covariance matrices for the available inference methods.

ploglik

Length-2 vector with penalised log-likelihood components.

iter

Length-3 vector with iteration counts for smoothing and parameter updates.

knots

List with basis parameters: m, Alpha, Delta, and (for Gaussian bases) Sigma.

control

Control settings as returned by [coxph_mpl.control()].

dim

List with n, number of events, ties, number of covariates (p), and number of baseline parameters (m).

call

The matched call.

data

List with outcome times, censoring indicators, and design matrix X.

Details

All components listed below must be present in a valid "coxph_mpl" object.

See also

[coxph_mpl()], [summary.coxph_mpl()], [coef.coxph_mpl()], [plot.coxph_mpl()], [residuals.coxph_mpl()], [predict.coxph_mpl()]