Sensitivity Analysis for Irregular Assessment Times
Estimate Subject Predicted Mean Outcome
Produce fitted model for group (treatment or control)
Compute Conditional Means
Control Parameters for Fitting the within Group Model
Runs an optimized implementation of the `compute_influence_term_2_quad...
Directly estimate the probability mass function of Y.
Compiled version of evaluate_basis() function
Integrate function using adaptive Simpson quadrature.
Runs a basic implementation of the "NW" function with the "K2_Biwe...
Runs an optimized implementation of the "NW" function.
Predict mean and variance of the outcome for a SensIAT within-group ...
Estimate response with jackknife resampling
Outcome Modeler for SensIAT Single Index Model.
SensIAT: Sensitivity Analysis for Irregular Assessment Times
Sensitivity analysis for trials with irregular and informative assessment times, based on a new influence function-based, augmented inverse intensity-weighted estimator.