Man pages for SensIAT
Sensitivity Analysis for Irregular Assessment Times

add_classAdds an S3 class to an object
add_terminal_observationsAdd Terminal Observations to a Dataset
autoplot.SensIAT_fulldata_jackknife_resultsPlot for Estimated Treatment Effect for...
autoplot.SensIAT_fulldata_modelPlot for Estimated Treatment Effect for...
autoplot.SensIAT_withingroup_jackknife_resultsPlot Estimates at Given Times for...
autoplot.SensIAT_within_group_modelPlot a 'SensIAT_within_group_model' Object
compute_influence_termsCompute Influence Terms
compute_SensIAT_expected_valuesCompute Conditional Expected Values based on Outcome Model
fit_SensIAT_marginal_mean_modelFit the Marginal Means Model
fit_SensIAT_single_index_fixed_coef_modelOutcome Modeler for 'SensIAT' Single Index Model.
fit_SensIAT_single_index_norm1coef_modelSingle Index Model using MAVE and Optimizing Bandwidth.
fit_SensIAT_within_group_modelProduce fitted model for group (treatment or control)
jackknifePerform Jackknife Resampling on an Object
pcoriaccel_compute_influence_term_2_quadv_sim_via_matrixRuns an optimized implementation of the...
pcoriaccel_estimate_pmfDirectly estimate the probability mass function of Y.
pcoriaccel_evaluate_basisCompiled version of 'evaluate_basis()' function
pcoriaccel_evaluate_basis_matCompiled version of 'evaluate_basis()' function (matrix...
pcoriaccel_integrate_simpIntegrate function using adaptive Simpson quadrature.
pcoriaccel_NWRuns an optimized implementation of the "NW" function.
pcoriaccel_NW_basicRuns a _basic_ implementation of the "NW" function with the...
pcori_controlControl Parameters for Fitting the within Group Model
predict.SensIAT_within_group_modelGive the Marginal Mean Estimate and its Estimated Asymptotic...
prepare_SensIAT_dataPrepare Data for Sensitivity Analysis with Irregular...
SensIAT_example_dataSensIAT Example Data
SensIAT-packageSensIAT: Sensitivity Analysis for Irregular Assessment Times
SensIAT documentation built on Sept. 9, 2025, 5:50 p.m.