bliss (version 1.1.1)

BIC_model_choice: BIC_model_choice

Description

Model selection with BIC criterion.

Usage

BIC_model_choice(Ks, iter, data, verbose = T)

Value

A numerical vector, the BIC values for the Bliss model for different K value.

Arguments

Ks

a numerical vector containing the K values.

iter

an integer, the number of iteration for each run of fit_Bliss.

data

a list containing required options to run the function fit_Bliss.

verbose

write stuff if TRUE (optional).

Examples

# \donttest{
param_sim <- list(Q=1,n=100,p=c(50),grids_lim=list(c(0,1)))
data      <- sim(param_sim,verbose=TRUE)
iter = 1e2
Ks <- 1:5

res_BIC <- BIC_model_choice(Ks,iter,data)
plot(res_BIC,xlab="K",ylab="BIC")
# }