Additional information about the Cox proportional hazard model fit represented
by object is extracted and included in the returned object, which
is suitable for printing with the generic print function. The generic
coef function will extract the matrix of coefficients of interest
with standard errors, \(z\)-statistics and \(p\)-values.
See coef.summary.coxph_mpl.
Only the baseline hazard parameters larger than min.Theta (see
coxph_mpl.control) are reported.
Usage
# S3 method for coxph_mpl
summary(object, se="M2QM2", full=FALSE, …)
# S3 method for summary.coxph_mpl
print(x, se="M2QM2", …)
Arguments
object
In an object inheriting from class coxph_mpl, representing
a fitted Cox proportional hazard model.
se
an inference method. Possibilites are "H", "M2QM2" and "M2HM2".
Refer to the Details Section of coxph_mpl.
Default is se="M2QM2".
full
logical. If TRUE inference for the baseline hasard parameters is
provided. Default is full=FALSE.
x
an object inheriting from class summary.coxph_mpl, representing
the summary of a fitted Cox proportional hazard model.
…
Other arguments passed through to printing functions.
Value
an object of class summary.coxph_mpl representing the fit and additional
information.
Beta
a matrix of \(p\) rows indicating the regression parameter estimates, standard
errors, z-statistics values and according p-values.
Theta
If full == TRUE, a matrix of \(m\) rows indicating the baseline hazard
parameter estimates, standard errors, z-statistics values and according p-values.
If full == FALSE, the baseline hazard estimates.
inf
a list of elements extracted from the object of class coxph_mpl
including the number of iterations and the penalised likelihood
value, for example.
# NOT RUN {data(lung)
fit_mpl <- coxph_mpl(Surv(time, status == 2) ~ age + sex + ph.karno + wt.loss, data = lung)
summary(fit_mpl, full = TRUE)
summary(fit_mpl, se = "M2HM2")
# }