matching_l1: Match observations

In wxwx1993/GPSmatching: Matching on Generalized Propensity Scores with Continuous Exposures

Match observations

Description

Matching function using L1 distance on single exposure level w

Usage

matching_l1(
  w,
  dataset,
  e_gps_pred,
  e_gps_std_pred,
  w_resid,
  gps_mx,
  w_mx,
  gps_model = "parametric",
  delta_n = 1,
  scale = 0.5,
  nthread = 1,
  optimized_compile
)

Arguments

w	the targeted single exposure levels.
dataset	a completed observational data frame or matrix containing (Y, w, gps, counter, row_index, c).
e_gps_pred	a vector of predicted gps values obtained by Machine learning methods.
e_gps_std_pred	a vector of predicted std of gps obtained by Machine learning methods.
w_resid	the standardized residuals for w.
gps_mx	a vector with length 2, includes min(gps), max(gps)
w_mx	a vector with length 2, includes min(w), max(w).
gps_model	Model type which is used for estimating GPS value, including parametric (default) and non-parametric.
delta_n	a specified caliper parameter on the exposure (Default is 1).
scale	a specified scale parameter to control the relative weight that is attributed to the distance measures of the exposure versus the GPS estimates (Default is 0.5).
nthread	Number of available cores.
optimized_compile	An option to activate optimized compilation.

Value

dp: The function returns a data.table saved the matched points on by single exposure level w by the proposed GPS matching approaches.

wxwx1993/GPSmatching documentation built on March 1, 2023, 9:32 p.m.