appendObj: Append an objective function to a basic dMod.frame

In dkaschek/dMod: Dynamic Modeling and Parameter Estimation in ODE Models

Append an objective function to a basic dMod.frame

Description

Append an objective function to a basic dMod.frame

Usage

appendObj(
  dMod.frame,
  prd = list(g * (x * p)),
  obj_data = list(normL2(data, prd, e)),
  obj = list(obj_data),
  pars = list(structure(rnorm(length(getParameters(obj))), names = getParameters(obj))),
  times = list(seq(min(as.data.frame(data)[["time"]]), max(as.data.frame(data)[["time"]])
    * 1.1, length.out = 200)),
  ...,
  keepCalls = F
)

Arguments

dMod.frame	A dMod.frame
prd	Expression after which the concatenated prediction function is formed. Has to wrapped in list()
obj_data	Expression after which the objective function which describes the data is formed. Has to wrapped in list()
obj	This object is taken by the standard fitting functions. At typical expression would be list(obj_data + constr). Has to wrapped in list()
pars	A named vector of parameters to run e.g. test simulations of the model. Defaults to random parameters
times	A vector of times to run e.g. test simulations of the model. Defaults to seq(0, 1*t_max(data), length.out = 200)
...	Other columns which are mutations of existing ones or new columns.
keepCalls	Store a record of the calls in a new colun? See mutatedMod.frame.

Value

The dMod.frame augmented by standardized columns

dkaschek/dMod documentation built on March 1, 2025, 9:04 p.m.