R: Estimating Causal Dose Response Functions

# Estimating Causal Dose Response Functions

## Documentation for package ‘causaldrf’ version 0.4.2

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

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