causaldrf (version 0.4.2)

Estimating Causal Dose Response Functions

Description

Functions and data to estimate causal dose response functions given continuous, ordinal, or binary treatments. A description of the methods is given in Galagate (2016) .

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Install

install.packages('causaldrf')

Monthly Downloads

243

Version

0.4.2

License

MIT + file LICENSE

Maintainer

Douglas Galagate

Last Published

September 29th, 2022

Functions in causaldrf (0.4.2)

iptw_est

The inverse probability of treatment weighting (iptw) estimator

bart_est

The BART estimator

get_ci

This calculates an upper and lower bound from bootstrap matrix

add_spl_est

The additive spline estimator

aipwee_est

Prediction with a residual bias correction estimator

hi_est

The Hirano and Imbens estimator

iw_est

The inverse weighting estimator (nonparametric method)

gam_est

The GAM estimator

ismw_est

The inverse second moment weighting (ismw) estimator

hi_sim_data

Simulated data from Hirano and Imbens (2004)

nmes_data

Data set containing data from the National Medical Expenditure Survey (NMES)

sim_data

Simulated data from Schafer and Galagate (2015)

wtrg_est

The weighted regression estimator

nw_est

The Nadaraya-Watson modified estimator

t_mod

A function to estimate conditional expected values and higher order moments

overlap_fun

This function creates an overlapping dataset

prop_spline_est

The propensity-spline prediction estimator

scalar_wts

This function calculates scalar weights for use in other models

reg_est

The regression prediction estimator