# Create some data from the class `DataDual`.
plcb <- 0.001
my_data <- DataDual(
w = c(13, 77, 86, 26, 27, 36, 37, 97, 21, 49, 87, 48),
x = c(plcb, 25, 25, 25, plcb, 50, 50, 50, plcb, 100, 100, 100),
y = c(0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 1L, 0L),
doseGrid = c(plcb, seq(25, 300, 25)),
placebo = TRUE,
ID = 1:12,
cohort = c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L)
)
# Initialize the CRM model.
my_model <- DualEndpointBeta(
mean = c(0, 1),
cov = diag(2),
ref_dose = 2,
use_log_dose = FALSE,
sigma2W = c(a = 1, b = 2),
rho = c(a = 1.5, b = 2.5),
E0 = 2,
Emax = 50,
delta1 = 6,
mode = 9,
ref_dose_beta = my_data@doseGrid[my_data@nGrid] + 10
)
# Sample from the posterior distribution.
my_options <- McmcOptions(
burnin = 50,
step = 2,
samples = 4,
rng_kind = "Mersenne-Twister",
rng_seed = 1
)
samples <- mcmc(data = my_data, model = my_model, options = my_options)
samples
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