HDCATE.set_condition_var {hdcate} | R Documentation |
Set the conditional variable in CATE
Description
Set the conditional variable in CATE
Usage
HDCATE.set_condition_var(
HDCATE_model,
name = NA,
min = NA,
max = NA,
step = NA
)
Arguments
HDCATE_model |
an object created via HDCATE |
name |
name of the conditional variable |
min |
minimum value of the conditional variable for evaluation |
max |
maximum value of the conditional variable for evaluation |
step |
minimum distance between two evaluation points |
Value
None. The HDCATE_model
is ready to fit.
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)
HDCATE.set_condition_var(model, 'X2', min=-1, max=1, step=0.01)
[Package hdcate version 0.1.0 Index]