- nn_name
(string) Name of the NN, e.g., “c” for NNc(...)
- min_state
(numeric) Value of minimal state for which the derivative should be calculated (optional if inputs is given, ignored if inputs is defined)
- max_state
(numeric) Value of maximal state for which the derivative should be calculated (optional if inputs is given, ignored if inputs is defined)
- inputs
(numeric vector) Vector of input values for which derivatives should be calculated (optional if min_state and max_state is given)
- est_parms
(named vector; semi-optional) Named vector of estimated parameters from the NN extracted through the pre_fixef_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) Whether the neural network to analyze is a time-dependent neural network or not. Default values is FALSE.
- act
(string) Activation function used in the NN. Currently "ReLU" and "Softplus" available.
- length_out
(numeric) Number of points between min_state and max_state
- plot_type
(string) What plot type should be used; "base" or "ggplot"
- beta
(numeric) Beta value for the Softplus activation function, only applicable if act="Softplus"; Default to 20.
- transform
(string) Mathematical exression as string to transform the NN output. Independent variable must be called NN, e.g.,
"1/(1+exp(-NN))" for sigmoidal transformation.