Get the derived utility score of each dose under investigation. Some models, particularly phase I/II models or efficacy-toxicity designs, specify algorithms to calculate utility. If no utility algorithm is specified for a design, this function will return a vector of NAs.
utility(x, ...)Object of class selector
arguments passed to other methods
a numerical vector
efftox_priors <- trialr::efftox_priors
p <- efftox_priors(alpha_mean = -7.9593, alpha_sd = 3.5487,
beta_mean = 1.5482, beta_sd = 3.5018,
gamma_mean = 0.7367, gamma_sd = 2.5423,
zeta_mean = 3.4181, zeta_sd = 2.4406,
eta_mean = 0, eta_sd = 0.2,
psi_mean = 0, psi_sd = 1)
real_doses = c(1.0, 2.0, 4.0, 6.6, 10.0)
model <- get_trialr_efftox(real_doses = real_doses,
efficacy_hurdle = 0.5, toxicity_hurdle = 0.3,
p_e = 0.1, p_t = 0.1,
eff0 = 0.5, tox1 = 0.65,
eff_star = 0.7, tox_star = 0.25,
priors = p, iter = 1000, chains = 1, seed = 2020)
x <- model %>% fit('1N 2E 3B')
utility(x)
#> [1] -0.67216058 0.02509564 0.25418506 -0.07100755 -0.22735755