HDCATE.unset_first_stage {hdcate}R Documentation

Clear the user-defined first-stage estimating methods

Description

Inverse operation of HDCATE.set_first_stage

Usage

HDCATE.unset_first_stage(model)

Arguments

model

an object created via HDCATE

Value

None.

Examples

# get simulation data
n_obs <- 500  # Num of observations
n_var <- 100  # Num of observed variables
n_rel_var <- 4  # Num of relevant variables
data <- HDCATE.get_sim_data(n_obs, n_var, n_rel_var)
# conditional expectation model is misspecified
x_formula <- paste(paste0('X', c(2:n_var)), collapse ='+')
# propensity score model is misspecified
# x_formula <- paste(paste0('X', c(1:(n_var-1))), collapse ='+')

# create a new HDCATE model
model <- HDCATE(data=data, y_name='Y', d_name='D', x_formula=x_formula)

# ... manually set user-defined first-stage estimating methods via `HDCATE.set_first_stage`

# Clear those user-defined methods and use the built-in method
HDCATE.unset_first_stage(model)

[Package hdcate version 0.1.0 Index]