estimate_npmetric_erf {CausalGPS} | R Documentation |
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 |
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
[Package CausalGPS version 0.5.0 Index]