mread reads and parses the mrgsolve model specification file,
builds the model, and returns a model object for simulation.
mread_cache does the same, but caches the compilation result for
later use.
mread(
model,
project = getOption("mrgsolve.project", getwd()),
code = NULL,
file = NULL,
udll = TRUE,
ignore.stdout = TRUE,
raw = FALSE,
compile = TRUE,
audit = TRUE,
quiet = getOption("mrgsolve_mread_quiet", FALSE),
check.bounds = FALSE,
warn = TRUE,
soloc = getOption("mrgsolve.soloc", tempdir()),
capture = NULL,
preclean = FALSE,
recover = FALSE,
...
)mread_cache(
model = NULL,
project = getOption("mrgsolve.project", getwd()),
file = paste0(model, ".cpp"),
code = NULL,
soloc = getOption("mrgsolve.soloc", tempdir()),
quiet = FALSE,
preclean = FALSE,
capture = NULL,
...
)
mread_file(file, ...)
model name
location of the model specification file an any
headers to be included; see also the discussion about model; this argument
can be set via options()
library under details as well as the modlib help topic
a character string with model specification code to be used instead of a model file
the full file name (with extension, but without path) where the model is specified
use unique name for shared object
passed to system call for compiling model
if TRUE, return a list of raw output
logical; if TRUE, the model will be built
check the model specification file for errors
don't print messages when compiling
check boundaries of parameter list
logical; if TRUE, print warning messages that may arise
the directory location where the model shared object is built
and stored; see details; this argument can be set via options();
if the directory does not exist, `mread` will attempt to create it.
a character vector or comma-separated string of additional
model variables to capture; these variables will be added to the capture
list for the current call to mread only
logical; if TRUE, compilation artifacts are
cleaned up first
if TRUE, a list of build will be returned in case
the model shared object fails to compile; use this option to and
the returned object to collect information assist in debugging
passed to update; also arguments passed
to mread from mread_cache.
mrgsolve comes bundled with several precoded PK, PK/PD, and
other systems models that are accessible via the mread interface.
Models available in the library include:
PK models: pk1cmt, pk2cmt, pk3cmt,
pk1, pk2, popex, tmdd
PKPD models: irm1, irm2, irm3, irm4,
emax, effect
Other models: viral1, viral2
When the library model is accessed, mrgsolve will compile and load
the model as you would for any other model. It is only necessary to
reference the correct model name and point the project argument
to the mrgsolve model library location via modlib.
For more details, see modlib_pk, modlib_pkpd,
modlib_tmdd, modlib_viral, and
modlib_details for more information about the state
variables and parameters in each model.
The model argument is required. For typical use,
the file argument is omitted and the value
for file is generated from the value for model.
To determine the source file name, mrgsolve will look for
a file extension in model. A file extension is
assumed when it finds a period followed by one to three alpha-numeric
characters at the end of the string (e.g. mymodel.txt but not
my.model). If no file extension is found, the extension .cpp
is assumed (e.g. file is <model-name>.cpp). If a file
extension is found, file is <model-name>.
Best practice is to avoid using . in model unless
you are using model to point to the model specification
file name. Otherwise, use mread_file.
Use the soloc argument to specify a directory location for building
the model. This is the location where the model shared object will be
stored on disk. The default is a temporary directory, so compilation
artifacts are lost when R restarts when the default is used. Changing
soloc to a persistent directory location will preserve those
artifacts across R restarts. Also, if simulation from a single model is
being done in separate processes on separate compute nodes, it might be
necessary to store these compilation artifacts in a local directory
to make them accessible to the different nodes. If the soloc
directory does not exist, `mread` will attempt to create it.
Similarly, using mread_cache will cache results in the temporary
directory and the cache cannot be accessed after the R process is
restarted.
# NOT RUN {
# }
# NOT RUN {
code <- '
$PARAM CL = 1, VC = 5
$CMT CENT
$ODE dxdt_CENT = -(CL/VC)*CENT;
'
mod <- mcode("ex_mread", code)
mod
mod %>% init(CENT=1000) %>% mrgsim %>% plot
mod <- mread("irm3", modlib())
mod
# if the model is in the file mymodel.cpp
mod <- mread("mymodel")
# if the model is in the file mymodel.txt
mod <- mread(file = "mymodel.txt")
or
mod <- mread_file("mymodel.txt")
# }
# NOT RUN {
# }
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