R: Generic Machine Learning Inference

# Generic Machine Learning Inference

## Documentation for package ‘GenericML’ version 0.2.2

- DESCRIPTION file
- Package NEWS

## Help Pages

BLP | Performs BLP regression
CLAN | Performs CLAN
GATES | Performs GATES regression
GenericML | Generic Machine Learning Inference
GenericML_combine | Combine several GenericML objects
GenericML_single | Single iteration of the GenericML algorithm
get_best | Accessor function for the best learner estimates
get_BLP | Accessor function for the BLP generic target estimates
get_CLAN | Accessor function for the CLAN generic target estimates
get_GATES | Accessor function for the GATES generic target estimates
heterogeneity_CLAN | Evaluate treatment effect heterogeneity along CLAN variables
lambda_parameters | Estimate the two lambda parameters
Med | Calculate lower and upper median
plot.GenericML | Plot method for a '"GenericML"' object
print.BLP_info | Print method for a '"BLP_info"' object
print.CLAN_info | Print method for a '"CLAN_info"' object
print.GATES_info | Print method for a '"GATES_info"' object
print.GenericML | Print method for a 'GenericML' object
print.heterogeneity_CLAN | Print method for a '"heterogeneity_CLAN"' object
propensity_score | Propensity score estimation
proxy_BCA | Baseline Conditional Average
proxy_CATE | Conditional Average Treatment Effect
quantile_group | Partition a vector into quantile groups
setup_diff | Setup function for 'diff' arguments
setup_plot | Set up information for a 'GenericML()' plot
setup_stratify | Setup function for stratified sampling
setup_vcov | Setup function for 'vcov_control' arguments
setup_X1 | Setup function controlling the matrix X_1 in the BLP or GATES regression
TrueIfUnix | Check if user's OS is a Unix system