adph2: Adjusted Discrete Proportional Hazards (ADPH) Model

In celehs/DPH: Discrete Proportional Hazards Models

Description

Adjusted Discrete Proportional Hazards (ADPH) Model

Usage

adph2(
  time,
  status,
  pred,
  init_beta = NULL,
  init_lambda0 = NULL,
  init_lambda0_s = NULL,
  n_ptb = NULL,
  seed = 1,
  show_progress = FALSE,
  maxit = 1000,
  ...
)

Arguments

time	a vector of discrete time (e.g. 1, 2, 3, ...)
status	a vector of event status (1 = observed, 0 = censored)
pred	a vector/matrix of predictors (e.g. biomarkers)
init_beta	initial values for beta
init_lambda0	initial values for lambda0
init_lambda0_s	initial values for lambda0_s
n_ptb	number of perturbations
seed	random number generation seed
show_progress	TRUE or FALSE (default)
maxit	maximum number of iterations
...	additional arguments for controlling model fitting (see optim)

celehs/DPH documentation built on April 2, 2021, 7:27 p.m.