rweSimuTwoArm: Simulate continuous outcomes for a two arm study

In olssol/rwetools: R functions for real-world data analysis

Description

Simulate continuous outcomes for a two arm study

Usage

rweSimuTwoArm(
  nPat,
  muCov,
  sdCov,
  corCov,
  trt.effect = 0,
  regCoeff.y,
  regCoeff.z = 0,
  mix.phi = 1,
  cov.breaks = NULL,
  fmla.y = NULL,
  fmla.z = NULL,
  ysig = NULL,
  b0 = NULL,
  z1.p = 0.5,
  sig2Ratio = 2,
  ...,
  do.simu = TRUE
)

Arguments

nPat	number of patients
muCov	mean vector of covariates
sdCov	standard deviation vector of covariates
corCov	correlation of covariates
mix.phi	weight in mixture model
cov.breaks	breaks to cut covaraites into categories. If numeric, the same cuts will be applied to all covariates. If list, each covariates will be categorized based on its own breaks. If NULL, keep continuous.
ysig	standard error of the random error
b0	intercept in regession model

olssol/rwetools documentation built on April 18, 2021, 11:42 a.m.