set.seed(69754)
m_d <- generate_syn_data(sample_size = 2000)
pseudo_pop <- generate_pseudo_pop(m_d$Y,
m_d$treat,
m_d[c("cf1","cf2","cf3","cf4","cf5","cf6")],
ci_appr = "weighting",
pred_model = "sl",
sl_lib = c("m_xgboost"),
params = list(xgb_nrounds=c(10,20,30),
xgb_eta=c(0.1,0.2,0.3)),
nthread = 4,
covar_bl_method = "absolute",
covar_bl_trs = 0.1,
covar_bl_trs_type="mean",
optimized_compile = TRUE,
max_attempt = 1,
matching_fun = "matching_l1",
delta_n = 1,
scale = 0.5)
erf_obj <- estimate_npmetric_erf(pseudo_pop$pseudo_pop$Y,
pseudo_pop$pseudo_pop$w,
pseudo_pop$pseudo_pop$counter,
bw_seq=seq(0.5,2,0.5),
w_vals = seq(2,20,0.5),
nthread = 1)
plot(erf_obj)
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