Package index

Run the panel

One call for the whole estimator × nuisance grid.

dr_panel()

Run the full doubly-robust estimator panel

plot(<dr_panel>)

Forest plot of a dr3 estimator panel

Estimators

Each takes (Y, A, nu); pair with a nuisance strategy for a named method.

dr_aipw()

AIPW / one-step estimator (= DML with cross-fit nuisances)

dr_tmle()

Targeted maximum likelihood estimator (TMLE)

dr_gcomp()

g-computation (outcome-regression plug-in)

dr_iptw()

Inverse-probability-of-treatment weighting (Hajek / stabilized)

Nuisances

dr_nuisance()

Estimate the shared nuisances (propensity g and outcome Q)

dr_folds()

Construct cross-fitting folds

default_dr_library

Default Super Learner library

Datasets

Tutorial datasets, each pulled from another package (no data is bundled).

dr_data()

Load a benchmark dataset

dr_nhefs()

NHEFS: smoking cessation and weight change (real, observational)

dr_rhc()

RHC: right-heart catheterization and 30-day mortality (real, observational)