STEPP: STEPP analysis

In sagade/STEPPup:

Description

STEPP analysis

Usage

STEPP(response, var, treat, covars = NULL, data = parent.frame(),
  mode = c("sw", "to"), alpha = 0.05, adapt.ci = c("none", "normal",
  "bonferroni"), log = F, timepoint, ...)

Arguments

response	the response of the model, either a Surv object or the name of a factor variable in 'data'
var	the name of the continuous variable
treat	the name of the treatment variable, either a numerical vector or a factor. First level is fail, second is success
covars	other variables to include in the model. Default to NULL
data	the data frame the variables are evaluated in
mode	the method to compute subrgoups. Either 'sw' for sliding-window or 'to' for tail-oriented
alpha	the alpha for testing. Default to 0.05
adapt.ci	indicates whether a pointwise confidence iterval is drawn or an confidence band
log	indicates wheter the Odds-ratios/Hazard ratios will be given at a log scale or not. Success rates (binary outcome) and survival rates are not affected. Default to FALSE
...	further arguments to 'STEPPSliding' or 'STEPPTail' depending on 'mode'

Value

object from class 'STEPP'

sagade/STEPPup documentation built on Dec. 31, 2020, 3:15 a.m.