Question about Bayesian modeling [solved]

Modeling
3

Hi James,

Thank you very much for your reply. Here is my original code:

model {
	for (k in 1:s) {
		for (j in 1:n_s){
			mu[(k*s-s+j)] = alpha[k] + X[(k*s-s+j), 1]*beta
		
			lambda_tweedie[(k*s-s+j)] = 1/phi*mu[(k*s-s+j)]^(2-p)/(2-p);
			alpha_tweedie[(k*s-s+j)] = (2-p)/(p-1);
			beta_tweedie[(k*s-s+j)] = 1/phi*mu[(k*s-s+j)]^(1-p)/(p-1);
			
			}
		}
	}
}

Then console will return the following error message:

SYNTAX ERROR, MESSAGE(S) FROM PARSER:

Warning (non-fatal):
Left-hand side of sampling statement (~) may contain a non-linear transform of a parameter or local variable.
If it does, you need to include a target += statement with the log absolute determinant of the Jacobian of the transform.
Left-hand-side of sampling statement:
    p_star ~ normal(...)
Cannot assign to variable outside of declaration block; left-hand-side variable origin=parameter
  error in 'model4d2c215e6b7a_model' at line 57, column 27
  -------------------------------------------------
    55: 	for (k in 1:s) {
    56: 		for (j in 1:n_s){
    57: 			mu[(k*s-s+j)] = alpha[k] + X[(k*s-s+j), 1]*beta
                                  ^
    58: 		
  -------------------------------------------------

PARSER EXPECTED: <expression assignable to left-hand side>
Error in stanc(file = file, model_code = model_code, model_name = model_name,  : 
  failed to parse Stan model 'model' due to the above error.
In addition: Warning message:
In readLines(file, warn = TRUE) :

Thank you very much for your help.

With appreciation,

Tairan