| as.list,mrgmod-method | R Documentation |
Coerce a model object to list
## S4 method for signature 'mrgmod'
as.list(x, deep = FALSE, ...)
x |
a model object. |
deep |
if |
... |
not used. |
If deep is TRUE, then the values for trans, advan, and mindt are
returned as well as a summary of internal model functions (with a call to
mrgsolve:::funset()).
A named list containing formatted contents from x.
npar: number of parameters
neq: number of compartments or differential equations
pars: names of model parameters
covariates: names of parameters identified as covariates
cmt: names of model compartments
param: the parameter list
init: initial condition list
omega: $OMEGA matrices, as a matlist object
sigma: $SIGMA matrices, as a matlist object
fixed: named list of $FIXED values
model: model name
project: model project directory
soloc: directory where the model is being built
sodll: complete path to the model shared object
cfile: path for the model source code file
shlib: list of compilation information
start: simulation start time
end: simulation end time
delta: simulation time step
add: additional simulation times
capture: names of captured data items
request: compartments requested upon simulation
cmti: named indices for current output compartments
capturei: named indices for current output capture
random: names and labels of $OMEGA and $SIGMA
code: model source code from cfile
details: model details data frame
nm_import: a character vector listing the names of nonmem output files
that were read to import estimates from a completed nonmem run
cpp_variables: a data frame listing variables internal to the model
cpp file
atol: see solversettings
rtol: see solversettings
ss_atol: absolute tolerance to use when advancing to PK steady state
ss_rtol: relative tolerance to use when advancing to PK steady state
custom_atol: absolute tolerances, one for each compartment
custom_rtol: relative tolerances, one for each compartment
maxsteps: see solversettings
hmin: see solversettings
hmax: see solversettings
itol: 1 (use scalar values) or 4 (use customized values)
itol_type: either "scalar" (itol = 1) or "custom" (itol = 4)
envir: the model environment
plugins: plugins invoked in the model
digits: number of digits to request in simulated data
tscale: multiplicative scalar for time in results only
mindt: simulation output time below which there model will assume to
have not advanced
preclean: logical indicating to clean up compilation artifacts prior
to compiling
debug: print debugging information during simulation run
verbose: print extra information during setup for model run
mod <- mrgsolve::house()
l <- as.list(mod)
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