create_list_from_scratch_overall: Create a sparse list representation of treated-to-control...

In match2C: Match One Sample using Two Criteria

Create a sparse list representation of treated-to-control distance matrix with a fixed number caliper with L1-distance.

Description

This function takes in a n-by-p matrix of observed covariates, a length-n vector of treatment indicator, a caliper, and construct a possibly sparse list representation of the distance matrix with Mahalanobis distance. Note that this function is of limited interest to most users.

Usage

create_list_from_scratch_overall(
  Z,
  X,
  exact = NULL,
  soft_exact = FALSE,
  p = NULL,
  caliper_low = NULL,
  caliper_high = NULL,
  k = NULL,
  penalty = Inf,
  dist_func = NULL
)

Arguments

Z	A length-n vector of treatment indicator.
X	A n-by-p matrix of covariates.
exact	A vector of strings indicating which variables are to be exactly matched.
soft_exact	If set to TRUE, the exact constraint is enforced up to a large penalty.
p	A length-n vector on which a caliper applies, e.g. a vector of propensity score.
caliper_low	Size of caliper_inf.
caliper_high	Size of caliper_sup.
k	Connect each treated to the nearest k controls
penalty	Penalty for violating the caliper. Set to Inf by default.
dist_func	A function used to calculate distance

Value

This function returns a list of three objects: start_n, end_n, and d. See documentation of function “create_list_from_mat” for more details.

match2C documentation built on March 31, 2023, 6:39 p.m.