test_par_dom_cpp

Description : to simulate a parallel design and return the p-tost for differnece of means (DOM)

test_par_dom(
  n,
  muT,
  muR,
  SigmaT,
  SigmaR,
  lequi_tol,
  uequi_tol,
  alpha,
  dropout,
  typey,
  adseq,
  k,
  arm_seedT,
  arm_seedR,
  TART,
  TARR,
  vareq
)

Arguments

n

integer number of subjects per arm

muT

vector mean of endpoints on treatment arm

muR

vector mean of endpoints on reference arm

SigmaT

matrix covar-variance matrix on treatment arm across endpoints

SigmaR

matrix covar-variance matrix on reference arm across endpoints

lequi_tol

vector lower equivalence tolerance band across endpoints

uequi_tol

vector upper equivalence tolerance band across endpoints

alpha

vector alpha value across endpoints

dropout

vector of size 2 with dropout proportion per arm (T,R)

typey

vector with positions of primary endpoints

adseq

boolean is used a sequential adjustment?

k

integer minimum number of equivalent endpoints

arm_seedT

integer seed for the simulation on treatment arm

arm_seedR

integer seed for the simulation on reference arm

TART

double treatment allocation rate for the treatment arm

TARR

double treatment allocation rate for the reference arm

vareq

boolean assumed equivalence variance between arms for the t-test

Value

mat(vector) with ptost and other simulated statistics such as mean (mu) and standard deviation(std) per sequence (0,1)-endpoint