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 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:

Examples


set.seed(697)
m_d <- generate_syn_data(sample_size = 200)
pseudo_pop <- generate_pseudo_pop(m_d[, c("id", "w")],
                                  m_d[, c("id", "cf1","cf2","cf3",
                                        "cf4","cf5","cf6")],
                                  ci_appr = "matching",
                                  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 = 1,
                                  covar_bl_method = "absolute",
                                  covar_bl_trs = 0.1,
                                  covar_bl_trs_type="mean",
                                  max_attempt = 1,
                                  dist_measure = "l1",
                                  delta_n = 1,
                                  scale = 0.5)

data <- merge(m_d[, c("id", "Y")], pseudo_pop$pseudo_pop, by = "id")
erf_obj <- estimate_npmetric_erf(data$Y,
                                 data$w,
                                 data$counter_weight,
                                 bw_seq=seq(0.2,2,0.2),
                                 w_vals = seq(2,20,0.5),
                                 nthread = 1)


[Package CausalGPS version 0.4.1 Index]