# params simulation linear model with laplace prior
# specifics for stan
fileName <- "~/R_programming/distbayesianmc/stan_files/sparse_linear_reg_laplace.stan"
# single simulation
scale <- 1
#dataset <- "higgs1"
#iseed <- 42
#iter <- 1
#ssplits <- 5
typesplit <- "random"
nobs <- 4*10**3
nchain <- 2000#10000
typeprior <- "laplace_normal"
highcorr <- TRUE
Pparams <- 2
iters <- 6#20
#vec_datasets <- c("sparse_reg_1", "sparse_reg_2")
#vec_datasets <- c("hla1", "hla2")
#vec_datasets <- c("hla_ultra_small1", "hla_ultra_small2")
vec_datasets <- c("hla_ultra_small1")
vec_types_splits <- c(typesplit)
# multiple simulations
#vec_splits <- c(1,5,10,20,50)#1,30,50)#,10,20,50)
vec_splits <- c(2,4,8,15,25,30,35,40,45)#1,30,50)#,10,20,50)
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