ind_rhs_calc_mlx: Generate individual Right-hand side data (Monolix)

Description

This functions allows to generate right-hand side data for multiple individuals with individual parameter sets, i.e., combined derivative data of multiple NNs and base-R operations.

Usage

ind_rhs_calc_mlx(
  rhs,
  inputs,
  group,
  est_parms = NULL,
  mlx_file = NULL,
  time_nn = NULL,
  act = NULL,
  beta = 20
)

Value

Dataframe with columns for the inputs and the combined right-hand side data.

Arguments

rhs: (string) String of right-hand side
inputs: (dataframe) Dataframe of inputs, with corresponding columns (including matching column names for each variable in rhs.
group: (string) Name of column in inputs dataframe defining groups/individuals.
est_parms: (dataframe; semi-optional) A data frame with estimated individual parameters from the NN extracted through the indparm_extractor_mlx function. For optionality, see Details.
mlx_file: (string; semi-optional) (path)/name of the Monolix run. Must include ".mlxtran" and estimation bust have been run previously. For optionality, see Details.
time_nn: (boolean vector) Vector for each NN in rhs defining whether the neural network is a time-dependent neural network or not. Default value for all NN is FALSE.
act: (character vector) Vector for each NN in rhs defining the activation function used in the NN. Default value for all NN is "ReLU".
beta: (numeric) Beta value for the Softplus activation function, only applicable if any act is softplus; Default to 20.

Author

Dominic Bräm

Details

Either est_parms or mlx_file must be given. If both arguments are given, est_parms is prioritized.