Function reference

All functions

aipw()

AIPW estimation under unconfoundedness

ateCAL()

ateCAL: reweight experimental results to match external sample

ateGT()

Omnibus function for ATE estimation for generalization and transportation

ateGTreg()

Generalization AISW using fixest fixed effects regressions

dfmTest()

Omnibus test of systematic treatment effect heterogeneity (Ding, Feller, Miratrix 2018)

eb_solve_dual()

Entropy balancing by solving dual

interSparseM()

prepare sparse X matrix with interactions

mMscale()

min-max scale (maps continuous variable to [0, 1])

mlRate()

Flexible covariate adjustment using ML predictions

plot(<ategt>)

SMD balance plot method - plots balance across covariates and gains from reweighting

polySieveM()

prepare X matrix with flexible interactions and polynomials

selDGP()

Simulate an experimental dataset with selection bias

summary(<aipw>)

Summary method - prints treatment effects and marginal means

summary(<atecal>)

summary method - prints treatment effects and marginal means

summary(<ategt>)

summary method - prints treatment effects and marginal means