fit_cox: Function that fits Cox proportional hazards models

In mfp2: Multivariable Fractional Polynomial Models with Extensions

Function that fits Cox proportional hazards models

Description

Function that fits Cox proportional hazards models

Usage

fit_cox(
  x,
  y,
  strata,
  weights,
  offset,
  control,
  method,
  rownames,
  nocenter,
  fast = TRUE
)

Arguments

x	a matrix of predictors excluding intercept with nobs observations.
y	a Surv object.
strata, control, rownames, nocenter	passed to survival::coxph.fit().
weights	a numeric vector of length nobs of 'prior weights' to be used in the fitting process.
offset	a numeric vector of length nobs of of a priori known component to be included in the linear predictor during fitting.
method	a character string specifying the method for tie handling. See survival::coxph().
fast	a logical which determines how the model is fitted. The default TRUE uses fast fitting routines (i.e. survival::coxph.fit()), while FALSEuses the normal fitting routines (survival::coxph()) (used for the final output of mfp2).

Value

A list with the following components:

• logl: the log likelihood of the fitted model.

• coefficients: regression coefficients.

• df: number of parameters (degrees of freedom).

• sse: residual sum of squares (not used).

• fit: the fitted model object.

mfp2 documentation built on Nov. 15, 2023, 1:06 a.m.