dot-clearPipe: Clear/Set pipeline

In RxODE: Facilities for Simulating from ODE-Based Models

Clear/Set pipeline

Description

Clear/Set pipeline

Usage

.clearPipe(
  rx = NULL,
  inits = NULL,
  events = NULL,
  params = NULL,
  iCov = NULL,
  keep = NULL,
  thetaMat = NULL,
  omega = NULL,
  sigma = NULL,
  dfObs = NULL,
  dfSub = NULL,
  nSub = NULL,
  nStud = NULL
)

Arguments

rx	RxODE object
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);
events	an eventTable object describing the input (e.g., doses) to the dynamic system and observation sampling time points (see eventTable());
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;
iCov	A data frame of individual non-time varying covariates to combine with the events dataset by merge.
keep	Columns to keep from either the input dataset or the iCov dataset. With the iCov dataset, the column is kept once per line. For the input dataset, if any records are added to the data LOCF (Last Observation Carried forward) imputation is performed.
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.
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.
dfSub	Degrees of freedom to sample the between subject variability matrix from the inverse Wishart distribution (scaled) or scaled inverse chi squared distribution.
nSub	Number between subject variabilities (ETAs) simulated for every realization of the parameters.
nStud	Number virtual studies to characterize uncertainty in estimated parameters.

Value

None, clears RxODE pipeline

RxODE documentation built on March 23, 2022, 9:06 a.m.