matching_fn function

Match observations

Matching function using L1 distance on single exposure level w

matching_fn(
  w,
  dataset,
  exposure_col_name,
  e_gps_pred,
  e_gps_std_pred,
  w_resid,
  gps_mx,
  w_mx,
  dist_measure = "l1",
  gps_density = "normal",
  delta_n = 1,
  scale = 0.5,
  nthread = 1
)

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_density: Model type which is used for estimating GPS value, including normal (default) and kernel.
• 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.

Returns

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