stanc(file, model_code = '', model_name = "anon_model", verbose = FALSE,
        obfuscate_model_name = TRUE) 
  stanc_builder(file, isystem = dirname(file), 
                verbose = FALSE, obfuscate_model_name = FALSE)file is 
    not specified, so it defaults to empty string."anon_model". However, the model name would be derived
    from file or model_code (if model_code is the name of a
    character string object) ifTRUE print out more intermediate information during the
    translation procedure; FALSE otherwise. The default is FALSE.TRUE prevents name clashes when compiling multiple models in
    the same R session.file that are to be included within the Stan program
    named by file. See details.model_nameCharacter string for the model name.model_codeCharacter string for the model's Stan specification.cppcodeCharacter string for the model's C++ code.statusLogical indicating success/failure (TRUE/FALSE) of 
                            translating the Stan code.stanc_builder function supports the standard C++ convention of
  specifying something like #include "my_includes.txt" on an entire line
  within the file named by the file argument. In other words, 
  stanc_builder would look for "my_includes.txt" in (or under) the 
  directory named by the isystem argument and insert its contents verbatim 
  at that position  before calling stanc on the resulting model_code. 
  This mechanism reduces the need to copy common chunks of code across Stan 
  programs.
  
  Note that line numbers referred to in parser warnings or errors refer to the
  postprocessed Stan program rather than file. In the case of a parser
  error, the postprocessed Stan program will be printed after the error message.
  Line numbers referred to in messages while Stan is executing also refer to
  the postprocessed Stan program which can be obtained by calling
  get_stancode.  The Stan Development Team
  CmdStan Interface User's Guide.
  
stan_model and stanstanmodelcode <- "data {
  int<lower=0> N;
  real y[N];
} 
parameters {
  real mu;
} 
model {
  mu ~ normal(0, 10);
  y ~ normal(mu, 1); 
} 
"
r <- stanc(model_code = stanmodelcode, model_name = "normal1") 
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