fcoxph: Forward Regression Selection for Cox proportional hazards...
In pboost: Profile Boosting Framework for Parametric Models

fcoxph

R Documentation

Forward Regression Selection for Cox proportional hazards Model

Description

Forward regression selection for Cox model.

Usage

fcoxph(
  formula,
  data,
  weights,
  subset,
  na.action,
  init,
  control,
  ties = c("efron", "breslow", "exact"),
  singular.ok = TRUE,
  robust,
  model = FALSE,
  x = FALSE,
  y = TRUE,
  tt,
  method = ties,
  id,
  cluster,
  istate,
  statedata,
  nocenter = c(-1, 0, 1),
  ...,
  selectFun = logLik,
  stopFun = "EBIC",
  keep = NULL,
  maxK = NULL,
  verbose = FALSE
)

Arguments

`formula`	Parameter passed to survival::coxph.
`data`	Parameter passed to survival::coxph.
`weights`	Parameter passed to survival::coxph.
`subset`	Parameter passed to survival::coxph.
`na.action`	Parameter passed to survival::coxph.
`init`	Parameter passed to survival::coxph.
`control`	Parameter passed to survival::coxph.
`ties`	Parameter passed to survival::coxph.
`singular.ok`	Parameter passed to survival::coxph.
`robust`	Parameter passed to survival::coxph.
`model`	Parameter passed to survival::coxph.
`x`	Parameter passed to survival::coxph.
`y`	Parameter passed to survival::coxph.
`tt`	Parameter passed to survival::coxph.
`method`	Parameter passed to survival::coxph.
`id`	Parameter passed to survival::coxph.
`cluster`	Parameter passed to survival::coxph.
`istate`	Parameter passed to survival::coxph.
`statedata`	Parameter passed to survival::coxph.
`nocenter`	Parameter passed to survival::coxph.
`...`	Parameters passed to survival::coxph.
`selectFun`	Parameter passed to frs.
`stopFun`	Parameter passed to frs.
`keep`	Parameter passed to frs.
`maxK`	Parameter passed to frs.
`verbose`	Parameter passed to frs.