This function computes the influence terms for the marginal outcome model sensitivity analysis. It is a generic function that can handle different types of outcome models.
Usage
compute_influence_terms(outcome.model, intensity.model, alpha, data, ...)
# Default S3 method
compute_influence_terms(
outcome.model,
intensity.model,
alpha,
data,
id,
base,
...
)
# S3 method for class '`SensIAT::Single-index-outcome-model`'
compute_influence_terms(
outcome.model,
intensity.model,
alpha,
data,
base,
tolerance = .Machine$double.eps^(1/3),
na.action = na.fail,
id = NULL,
time = NULL,
...
)Arguments
- outcome.model
The outcome model fitted to the data.
- intensity.model
The intensity model fitted to the data.
- alpha
A numeric vector representing the sensitivity parameter.
- data
A data frame containing the observations.
- ...
Additional arguments passed to the method.
- id
A variable representing the patient identifier.
- base
A spline basis object.
- tolerance
Numeric value indicating the tolerance for integration, default is
.Machine$double.eps^(1/3).- na.action
Function to handle missing values, default is
na.fail.- time
Variable indicating the time variable in the data, by Default will be extracted from the intensity model response.