It always shows that no matches for : available argument signatures fir categorical: real return type required for probability function.
data {
int<lower=0> N;
int<lower=0> N1;
int<lower=0> P;
int<lower=0> p1;
int<lower=0> p2;
int<lower=0> p3;
int<lower=0> cat1;
int<lower=2>cat2[p3];
real Y[N];
int X[N];
matrix[N,P] M1;
int M2[N,P];
int Mc[N,P];
int contm[p1];
int binm[p2];
vector[p3] cat3;
}
parameters {
real alpha0[p1];
real alpha1[p1];
real alpha0_b[p2];
real alpha1_b[p2];
matrix[p3,cat2[p3]] alpha0_c;
matrix[cat1,cat2[p3]] alpha1_c;
real beta0;
vector[P] beta;
real c;
real<lower=0> sigma1[p1];
real<lower=0> sigma2;
}
model {
matrix[N,p1] mu_M1;
matrix[N,p2] mu_M1_b;
real mu_Mc[N,p3,N1];
matrix[N,cat1] sum_Mc;
vector[N] mu_Y;
real mu_Mc00[N,cat1,cat2[p3]];
for (i in 1:N){
mu_Y[i]= beta0 + c*X[i] + dot_product(beta,M1[i,]);
Y[i] ~ normal(mu_Y[i],sigma2);
for (j in 1:p1){
mu_M1[i,j]=alpha0[j]+alpha1[j]*X[i];
M1[i,contm[j]] ~ normal(mu_M1[i,j],sigma1[j]);
}
for (k in 1:p2){
mu_M1_b[i,k] = alpha0_b[k]+alpha1_b[k]*X[i];
M2[i,binm[k]]~bernoulli_logit(mu_M1_b[i,k]);
}
for (j in 1:cat1){
mu_Mc[i,j,1] =1;
for (k in 2:cat2[j]){
mu_Mc[i,j,k] =exp(alpha0_c[j,k-1]+alpha1_c[j,k-1]*X[i]);
}
sum_Mc[i,j]=sum(mu_Mc[i,j,1:cat2[j]]);
for (l in 1:cat2[j])
{mu_Mc00[i,j,l] =mu_Mc[i,j,l]/sum_Mc[i,j];}
Mc[i,j]~categorical(mu_Mc00[i,j,1:cat2[j]]);
}
}