Prediction method for HAL-based conditional density estimation

Prediction method for HAL-based conditional density estimation

# S3 method for haldensify
predict(object, ..., new_A, new_W)

Arguments

object	An object of class haldensify, containing the results of fitting the highly adaptive lasso for conditional density estimation, as produced by a call to haldensify.
...	Additional arguments passed to predict as necessary.
new_A	The numeric vector or similar of the observed values of an intervention for a group of observational units of interest.
new_W	A data.frame, matrix, or similar giving the values of baseline covariates (potential confounders) for the observed units whose observed intervention values are provided in the previous argument.