add_aspre_interactions
                        Add interaction terms corresponding to ASPRE
                        model
aspre                   Computes ASPRE score
aspre_emulation         Emulation-based OHS estimation for ASPRE
aspre_k2                Cost estimating function in ASPRE simulation
aspre_parametric        Parametric-based OHS estimation for ASPRE
ci_cover_a_yn           Data for example on asymptotic confidence
                        interval for OHS.
ci_cover_cost_a_yn      Data for example on asymptotic confidence
                        interval for min cost.
ci_cover_cost_e_yn      Data for example on empirical confidence
                        interval for min cost.
ci_cover_e_yn           Data for example on empirical confidence
                        interval for OHS.
ci_mincost              Confidence interval for minimum total cost,
                        when estimated using parametric method
ci_ohs                  Confidence interval for optimal holdout size,
                        when estimated using parametric method
cov_fn                  Covariance function for Gaussian process
data_example_simulation
                        Data for vignette showing general example
data_nextpoint_em       Data for 'next point' demonstration vignette on
                        algorithm comparison using emulation algorithm
data_nextpoint_par      Data for 'next point' demonstration vignette on
                        algorithm comparison using parametric algorithm
error_ohs_emulation     Measure of error for emulation-based OHS
                        emulation
exp_imp_fn              Expected improvement
gen_base_coefs          Coefficients for imperfect risk score
gen_preds               Generate matrix of random observations
gen_resp                Generate response
grad_mincost_powerlaw   Gradient of minimum cost (power law)
grad_nstar_powerlaw     Gradient of optimal holdout size (power law)
logistic                Logistic
logit                   Logit
model_predict           Make predictions
model_train             Train model (wrapper)
mu_fn                   Updating function for mean.
next_n                  Finds best value of n to sample next
ohs_array               Data for vignette on algorithm comparison
ohs_resample            Data for vignette on algorithm comparison
optimal_holdout_size    Estimate optimal holdout size under parametric
                        assumptions
optimal_holdout_size_emulation
                        Estimate optimal holdout size under
                        semi-parametric assumptions
oracle_pred             Generate responses
params_aspre            Parameters of reported ASPRE dataset
plot.optholdoutsize     Plot estimated cost function
plot.optholdoutsize_emul
                        Plot estimated cost function using emulation
                        (semiparametric)
powerlaw                Power law function
powersolve              Fit power law curve
powersolve_general      General solver for power law curve
powersolve_se           Standard error matrix for learning curve
                        parameters (power law)
psi_fn                  Updating function for variance.
sens10                  Sensitivity at theshold quantile 10%
sim_random_aspre        Simulate random dataset similar to ASPRE
                        training data
split_data              Split data
