Rstudio displayed an error message as follows with a bomb picture, and sampling failed.

Original data is not permitted to share.

**error message**

"R Session Aborted

R encountered a fatal error.

The session was terminated".

**stan code**

data {

int N;

int P;

real A[N];

int<lower=0, upper=10> HA[N];

int<lower=1, upper=P> PREF[N];

}

parameters {

real b0;

real ba0;

real a00;

real b[P];

real ba[P];

real a0[P];

real<lower=0> s_b;

real<lower=0> s_ba;

real<lower=0> s_a0;

real<lower=0> s_H;

}

model {

for (p in 1:P) {

b[p] ~ normal(b0, s_b);

ba[p] ~ normal(ba0, s_ba);

a0[p] ~ normal(a00, s_a0);

}

for (n in 1:N)

HA[n] ~ normal(b[PREF[n]] + ba[PREF[n]] * (A[n] - a0[PREF[n]]) ^ 2, s_H);

}

generated quantities {

real h_pred[N];

for (n in 1:N)

h_pred[n] = normal_rng(b[PREF[n]] + ba[PREF[n]] * (A[n] - a0[PREF[n]]) ^ 2, s_H);

}

**r code**

library(rstan)

d <- read.csv(file=‘output/ch2/lall3.csv’, header = TRUE)

d <- subset(d, subset = year == 2013)

d$age_std <-(d$age-mean(d$age))/sd(d$age)

data <- list(N=nrow(d),P=length(levels(d$pref)),A=d$age_std,

PREF=as.numeric(d$pref),HA=as.numeric(d$hap))

stanmodel <- stan_model(file=‘model/ch2/model_ind_hreghap_simp2.stan’)

fit <- sampling(

stanmodel,

data = data,

seed =243,

chains=4, iter=1000, warmup=500, thin=1

)

I tried again with the following codes

rstan_options(auto_write = TRUE)

options(mc.cores = parallel::detectCores())

but, it displayed the following error message

Error in unserialize(socklist[[n]]) : error reading from connection

Error in serialize(data, node$con, xdr = FALSE) :

error writing to connection

I would appreciate it if someone would help me.