Robust Longitudinal Effects Under Truncation by Death

---

Documentation for package ‘PDRobust’ version 0.3.8

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

BiSample	Binary longitudinal example data
DataCheck	Check whether longitudinal data are ready for analysis
DataStandard	Prepare longitudinal data for PDRobust analyses
HTEAllT	Joint estimation of heterogeneous treatment effects across time
HTESepT	Separate estimation of heterogeneous treatment effects by time point
ImperfectConSample	Imperfect Continuous Longitudinal Example Data
Mapping	Identify variables and analysis times for PDRobust
ORCI	Estimate covariate associations with survival at the cutoff time
OutPred	Estimate outcome predictions
pd_methods	Print, plot, and subset PDRobust results
plot.odds_ratios	Print, plot, and subset PDRobust results
plot.pd_hte_pooled	Print, plot, and subset PDRobust results
plot.pd_hte_timevarying	Print, plot, and subset PDRobust results
plot.PrinSDiag	Print, plot, and subset PDRobust results
plot.PSDiag	Print, plot, and subset PDRobust results
PrinPred	Estimate cumulative principal scores
PrinSDiag	Evaluate covariate balance for the principal score model
print.odds_ratios	Print, plot, and subset PDRobust results
print.pd_data_check	Print, plot, and subset PDRobust results
print.pd_hte_pooled	Print, plot, and subset PDRobust results
print.pd_hte_timevarying	Print, plot, and subset PDRobust results
print.pd_mapping	Print, plot, and subset PDRobust results
print.PrinSDiag	Print, plot, and subset PDRobust results
print.PSDiag	Print, plot, and subset PDRobust results
print.QR	Print, plot, and subset PDRobust results
print.SA	Print, plot, and subset PDRobust results
PSDiag	Evaluate how well a propensity score model performs
PSPred	Estimate propensity scores
QR	Summary statistics of covariates within the always-survivor principal stratum
SA	Sensitivity analysis of outcome mean model misspecification
[.pd_data	Print, plot, and subset PDRobust results