DualSimulations-class | R Documentation |
DualSimulations
This class captures the trial simulations from dual-endpoint model based
designs. In comparison to the parent class Simulations
,
it contains additional slots to capture the dose-biomarker fits
, and the
sigma2W
and rho
estimates.
DualSimulations(rho_est, sigma2w_est, fit_biomarker, ...)
.DefaultDualSimulations()
rho_est |
( |
sigma2w_est |
( |
fit_biomarker |
( |
... |
additional parameters from |
rho_est
(numeric
)
vector of final posterior median rho estimates
sigma2w_est
(numeric
)
vector of final posterior median sigma2W estimates
fit_biomarker
(list
)
with the final dose-biomarker curve fits
Typically, end users will not use the .DefaultDualSimulations()
function.
data_list <- list(
Data(
x = 1:2,
y = 0:1,
doseGrid = 1:2,
ID = 1L:2L,
cohort = 1L:2L
),
Data(
x = 3:4,
y = 0:1,
doseGrid = 3:4,
ID = 1L:2L,
cohort = 1L:2L
)
)
doses <- c(1, 2)
seed <- as.integer(123)
fit <- list(
c(0.1, 0.2),
c(0.3, 0.4)
)
stop_report <- matrix(c(TRUE, FALSE), nrow = 2)
stop_reasons <- list("A", "B")
additional_stats <- list(a = 1, b = 1)
dual_simulations_obj <- DualSimulations(
rho_est = c(0.25, 0.35),
sigma2w_est = c(0.15, 0.25),
fit_biomarker = list(c(0.3, 0.4), c(0.4, 0.5)),
fit = fit,
stop_report = stop_report,
stop_reasons = stop_reasons,
additional_stats = additional_stats,
data = data_list,
doses = doses,
seed = seed
)
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