Getting variable does not exist error, although the variable has defined

Modeling
, ,
1

Hi ,

My stan code looks like this. I have defined the parameters in matrix form .

data {
int<lower=1> N;
int<lower=1> N1;
  int<lower=1> N2;
  int<lower=1> N11;
  int<lower=1> w;
  int<lower=0,upper=1> y[N];
  
  int<lower=1> K1; 
  matrix[N,K1] x11;
  //matrix[N2,K1] x2;
  
  
  
}

parameters {

  vector[w] alpha1;
  
  matrix[K1,w] beta1;
  vector <lower=0> [w] lambda;
  
 
}




model {

  vector[N] mu1;
  for(i in 1:N1){
  
   mu1[i] = alpha1[1]+ x11[i,] * beta1[,1];
   
  }
  
  for(i in N11:N){
  
    mu1[i] = alpha1[2]+ x11[i,] * beta1[,2];
   
  }
  
       //priors
       
       for(k in 1:w){
target +=normal_lpdf(beta1[,k]| 0,1/lambda[k]);
target +=normal_lpdf(alpha1[k]| 0,10);

}
  
   target +=  cauchy_lpdf(lambda[1]|0,1);
   target +=  cauchy_lpdf(lambda[2]|0,1);

  for(i in 1:N1){
  
  
  
  target += bernoulli_logit_lpmf(y[i] | mu1[i]);  
  }
  
   for(i in N11:N){
  
  
  
  target += bernoulli_logit_lpmf(y[i] | mu1[i]);  
  }
 
  }
  
  
****
However I got this error:

![image|690x47](upload://305OzQHNb0Q0OO0G9S2cJNjoQf7.png)

I double checked the code but  I have defined the variable "x11" in the code. I keep getting this error.

Can anyone help me to fix this?
2

The error is saying that x11 isn’t present in the data that is being passed to Stan, so you’ll need to check your data

3

@andrjohns got it thank you. Is there any better way to provide prior distributions when the parameters defined as a matrix/vector like in my example?