ODC_plot {crm12Comb} | R Documentation |
Plot optimal combination dose selections
Description
This function is used to generate the plot of optimal combination dose (ODC) selections among a number simulation trials.
Usage
ODC_plot(SimsRes)
Arguments
SimsRes |
A S4 class stores simulation results obtained from function |
Value
Returns a ggplot object.
Examples
# input the scenario with pre-defined true toxicity and efficacy probabilities
scenario <- matrix(c(0.02, 0.05,
0.04, 0.10,
0.08, 0.15,
0.12, 0.32,
0.06, 0.10,
0.10, 0.15,
0.14, 0.25,
0.20, 0.35,
0.12, 0.18,
0.16, 0.22,
0.22, 0.35,
0.25, 0.40,
0.20, 0.24,
0.24, 0.35,
0.35, 0.45,
0.40, 0.50), ncol=2, byrow = TRUE)
# generate skeletons
DLT_skeleton <- priorSkeletons(updelta=0.025, target=0.3, npos=10, ndose=16,
model = "empiric", prior = "normal", beta_mean=0)
Efficacy_skeleton <- priorSkeletons(updelta=0.025, target=0.5, npos=10, ndose=16,
model = "empiric", prior = "normal", beta_mean=0)
# simulate 1 trial under the same model and prior distribution
simRes <- SIM_phase_I_II(nsim=1, Nmax=40, DoseComb=scenario, input_doseComb_forMat=c(4,4),
input_type_forMat="matrix", input_Nphase=20,
input_DLT_skeleton=DLT_skeleton,
input_efficacy_skeleton=Efficacy_skeleton,
input_DLT_thresh=0.3, input_efficacy_thresh=0.3,
input_cohortsize=1, input_corr=0,
input_early_stopping_safety_thresh=0.33,
input_early_stopping_futility_thresh=0.2,
input_model="empiric", input_para_prior="normal",
input_beta_mean=0, input_beta_sd=1,
input_theta_mean=0, input_theta_sd=1)
ODC_plot(simRes)
[Package crm12Comb version 0.1.6 Index]