Package index • SensIAT

All functions

SensIAT_example_data: SensIAT Example Data

SensIAT_jackknife(): Estimate response with jackknife resampling

SensIAT_sim_outcome_modeler() SensIAT_sim_outcome_modeler_fbw(): Outcome Modeler for SensIAT Single Index Model.

fit_SensIAT_fulldata_model() fit_SensIAT_within_group_model(): Produce fitted model for group (treatment or control)

pcori_conditional_means(): Compute Conditional Means

pcoriaccel_estimate_pmf(): Directly estimate the probability mass function of Y.

pcoriaccel_evaluate_basis(): Compiled version of evaluate_basis() function

predict(<SensIAT_fulldata_model>) predict(<SensIAT_within_group_model>): Predict mean and variance of the outcome for a SensIAT within-group model