simLinear: Simulate expected responses from a robust linear model,...
In harrysouthworth/margarita: Support functions for texmex

Simulate expected responses from a robust linear model, accounting for uncertainty in the parameter estimates.

simLinear(
  lmod,
  gmod,
  newdata = NULL,
  baseline = "log(alt.b)",
  rawBaseline = "alt.b",
  invtrans = exp
)

`lmod`	An object returned by `lmr`.
`gmod`	An object of class 'evmSim'.
`newdata`	A data.frame containing values of the covariates used to fit the robust model, excluding the baseline variable.
`baseline`	Character string identifying the baseline column of the design matrix used to fit the robust linear model. Defaults to 'log(b.alt)'.
`rawBaseline`	Character string giving the name of the untransformed baseline values. If no transformation is performed, this will be the same value as for `baseline`. Defaults to `rawBaseline = "alt.b"`.
`invtrans`	A function for back-transforming the baseline data if required. By default, the function assumes the user worked with log-transformed baseline data, so assumes `invtrans=exp`.