add_spl_est |
The additive spline estimator |
aipwee_est |
Prediction with a residual bias correction estimator |
bart_est |
The BART estimator |
gam_est |
The GAM estimator |
get_ci |
This calculates an upper and lower bound from bootstrap matrix |
hi_est |
The Hirano and Imbens estimator |
hi_sim_data |
Simulated data from Hirano and Imbens (2004) |
iptw_est |
The inverse probability of treatment weighting (iptw) estimator |
ismw_est |
The inverse second moment weighting (ismw) estimator |
iw_est |
The inverse weighting estimator (nonparametric method) |
nmes_data |
Data set containing data from the National Medical Expenditure Survey (NMES) |
nw_est |
The Nadaraya-Watson modified estimator |
overlap_fun |
This function creates an overlapping dataset |
prop_spline_est |
The propensity-spline prediction estimator |
reg_est |
The regression prediction estimator |
scalar_wts |
This function calculates scalar weights for use in other models |
sim_data |
Simulated data from Schafer and Galagate (2015) |
t_mod |
A function to estimate conditional expected values and higher order moments |
wtrg_est |
The weighted regression estimator |