Estimate smoothed exposure-response function (ERF) for pseudo population
Estimate smoothed exposure-response function (ERF) for matched and weighted data set using non-parametric models.
estimate_npmetric_erf( m_Y, m_w, counter_weight, bw_seq, w_vals, nthread, kernel_appr = "locpol" )
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
.
The function returns a gpsm_erf object. The object includes the following attributes:
Estimate Functions Using Local Polynomial kernel regression.
Useful links