rxParams | R Documentation |
This returns the model's parameters that are required to solve the ODE system, and can be used to pipe parameters into an RxODE solve
rxParams(obj, ...) ## S3 method for class 'RxODE' rxParams( obj, constants = TRUE, ..., params = NULL, inits = NULL, iCov = NULL, keep = NULL, thetaMat = NULL, omega = NULL, dfSub = NULL, sigma = NULL, dfObs = NULL, nSub = NULL, nStud = NULL ) ## S3 method for class 'rxSolve' rxParams( obj, constants = TRUE, ..., params = NULL, inits = NULL, iCov = NULL, keep = NULL, thetaMat = NULL, omega = NULL, dfSub = NULL, sigma = NULL, dfObs = NULL, nSub = NULL, nStud = NULL ) ## S3 method for class 'rxEt' rxParams( obj, ..., params = NULL, inits = NULL, iCov = NULL, keep = NULL, thetaMat = NULL, omega = NULL, dfSub = NULL, sigma = NULL, dfObs = NULL, nSub = NULL, nStud = NULL ) rxParam(obj, ...)
obj |
RxODE family of objects |
... |
Other arguments including scaling factors for each compartment. This includes S# = numeric will scale a compartment # by a dividing the compartment amount by the scale factor, like NONMEM. |
constants |
is a boolean indicting if constants should be included in the list of parameters. Currently RxODE parses constants into variables in case you wish to change them without recompiling the RxODE model. |
params |
a numeric named vector with values for every parameter in the ODE system; the names must correspond to the parameter identifiers used in the ODE specification; |
inits |
a vector of initial values of the state variables (e.g., amounts in each compartment), and the order in this vector must be the same as the state variables (e.g., PK/PD compartments); |
iCov |
A data frame of individual non-time varying covariates
to combine with the |
keep |
Columns to keep from either the input dataset or the
|
thetaMat |
Named theta matrix. |
omega |
Estimate of Covariance matrix. When omega is a list, assume it is a block matrix and convert it to a full matrix for simulations. |
dfSub |
Degrees of freedom to sample the between subject variability matrix from the inverse Wishart distribution (scaled) or scaled inverse chi squared distribution. |
sigma |
Named sigma covariance or Cholesky decomposition of a covariance matrix. The names of the columns indicate parameters that are simulated. These are simulated for every observation in the solved system. |
dfObs |
Degrees of freedom to sample the unexplained variability matrix from the inverse Wishart distribution (scaled) or scaled inverse chi squared distribution. |
nSub |
Number between subject variabilities ( |
nStud |
Number virtual studies to characterize uncertainty in estimated parameters. |
When extracting the parameters from an RxODE model, a character vector listing the parameters in the model.
Matthew L.Fidler
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