R: Clear/Set pipeline

.clearPipe {RxODE} | R Documentation

## 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

[Package RxODE version 1.1.2 Index]