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 the empty string."anon_model". However, the model name will be derived
from file or model_code (if model_code is the name of a
character string object) if model_name is not specified.FALSE. If TRUE
more intermediate information is printed during the translation procedure.TRUE,
indicating whether to use a randomly-generated character string for the
name of the C++ class. This 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 the Details section below.model_name Character string for the model name.
model_code Character string for the model's Stan specification.
cppcode Character string for the model's C++ code.
status Logical 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. http://mc-stan.org.
stan_model and stan
stanmodelcode <- "
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")
str(r)
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