This function creates a configuration object that sets the parameters
for the Hierarchical Inverse-Gamma simulation model. The configuration
object is an to the sim.NormalIG.Hierarchical
function.
sim.NormalIG.Hierarchical.config(
nR = 5,
nC = 100,
modalityID = c("testA", "testA*"),
C_dist = "normal",
mu = 0,
tau_A = 0,
tau_B = 0,
alpha_R = 10,
beta_R = 1,
sigma_C = 1,
a_C = 0.8,
b_C = 3,
sigma_tauC = 1,
alpha_tauR = 10,
beta_tauR = 1,
C_scale = 1,
RC_scale = 1,
tauC_scale = 1,
tauRCE_scale = 1
)
config [list] of input parameters for sim.NormalIG.Hierarchical
.
[num] Number of readers. Default nR = 5
[num] Number of cases. Default nC = 100
[vector] List of modalityID. Default modalityID = c("testA", "testA*")
[chr] Distribution of the case. Default C_dist="normal"
[num] grand mean. Default mu = 0
[num] modality A effect. Default tau_A = 0
[num] modality B effect. Default tau_B = 0
[num] shape parameter for reader. Default alpha_R = 10
[num] scale parameter for reader. Default beta = 1
[num] std of case factor (if C_dist="normal"
). Default sigma_C = 1
[num] alpha for distribution of case (if C_dist="beta"
). Default a_C = 0.8
[num] beta for distribution of case (if C_dist="beta"
). Default b_C = 3
[num] std of modality-case (if C_dist="normal"
). Default sigma_tauC = 1
[num] shape parameter for modality-reader. Default alpha_tauR = 10
[num] scale parameter for modality-reader. Default beta_tauR = 1
[num] weight for the case factor. Default C_scale = 1
[num] weight for the reader-case interaction term. Default RC_scale = 1
[num] weight for the modality-case term. Default tauC_scale = 1
[num] weight for the modality-reader-case-replicate interaction term. Default tauRCE_scale = 1
If no arguments, this function returns a default simulation
configuration for the sim.NormalIG.Hierarchical
function.