estimate_npmetric_erf: Estimate smoothed exposure-response function (ERF) for pseudo...

In CausalGPS: Matching on Generalized Propensity Scores with Continuous Exposures

Estimate smoothed exposure-response function (ERF) for pseudo population

Description

Estimate smoothed exposure-response function (ERF) for matched and weighted data set using non-parametric models.

Usage

estimate_npmetric_erf(
  m_Y,
  m_w,
  counter_weight,
  bw_seq,
  w_vals,
  nthread,
  kernel_appr = "locpol"
)

Arguments

m_Y	A vector of outcome variable in the matched set.
m_w	A vector of continuous exposure variable in the matched set.
counter_weight	A vector of counter or weight variable in the matched set.
bw_seq	A vector of bandwidth values.
w_vals	A vector of values that you want to calculate the values of the ERF at.
nthread	The number of available cores.
kernel_appr	Internal kernel approach. Available options are locpol and kernsmooth.

Details

Estimate Functions Using Local Polynomial kernel regression.

Value

The function returns a gpsm_erf object. The object includes the following attributes:

• params

• m_Y

• m_w

• bw_seq

• w_vals

• erf

• fcall

CausalGPS documentation built on June 22, 2024, 9:31 a.m.