run_automatic_trial: Run automatic trial simulation

In jatotterdell/automaticsims: Package for automatic simulations

Run automatic trial simulation

Description

Run automatic trial simulation

Usage

run_automatic_trial(
  mu,
  Xdes = 1,
  mu0 = c(qlogis(0.8), rep(0, 12)),
  Sigma0 = diag(c(2^2, rep(1, 12))),
  n_seq = seq(500, 10000, 500),
  delta_sup = log(1.1),
  thres_sup = function(t) 0.8,
  thres_inf = function(t) 1 - thres_sup(t),
  thres_fut = 0.95,
  thres_nin = 0.9,
  thres_eff = function(t) 0.99,
  thres_hrm = function(t) 0.01,
  thres_equ = 0.9,
  thres_ina = function(t) 0.99,
  thres_ctr = function(t) 0.99,
  use_mwu = TRUE,
  mc_draws = 10000,
  rar_scale = 0.5,
  rar_min = 0.05/12,
  rar_rule = 1,
  drop_rule = 1,
  stop_rule = 1,
  ct_alloc = sqrt(12)/(12 + sqrt(12)),
  drop_perm = TRUE,
  enable_stopping = FALSE,
  return_all = TRUE,
  gen_prior = FALSE,
  use_info_n = TRUE
)

Arguments

mu	The true response rate in each arm
n_seq	The interim sequence
delta_sup	The reference value for meaningful difference
thres_sup	Threshold for superiority
thres_inf	Threshold for inferiority
thres_fut	Threshold for futility
thres_nin	Threshold for non-inferiority
thres_eff	Threshold for effectiveness
thres_equ	Threshold for equality
thres_ina	Threshold for inadequacy
use_mwu	Use mass-weighted-urn randomisation
mc_draws	Number of Monte Carlo draws for posterior quantity calculation
rar_scale	Scaling factor for RAR
rar_rule	Which RAR rule to use
drop_rule	Which rule to use for dropping control
ct_alloc	What fixed allocation to control
drop_perm	Permanently drop interventions?
enable_stopping	Apply stopping rule or let trial run its course to max SS?

jatotterdell/automaticsims documentation built on Aug. 22, 2024, 10:52 p.m.