API for vegarsti/fhtboost
Boosting for High-Dimensional First Hitting Time Threshold Regression

Global functions
FHT_componentwise_loss_function_derivative_mu Source code
FHT_componentwise_loss_function_derivative_y0 Source code
FHT_componentwise_minus_loglikelihood_with_parameters Source code
FHT_hazard Source code
FHT_link_function Man page Source code
FHT_loglikelihood_with_data Man page Source code
FHT_loglikelihood_with_y0_mu Source code
FHT_minus_loglikelihood_with_all_parameters Source code
FHT_only_intercepts Source code
FHT_parametric_cumulative_hazard Source code
FHT_parametric_density Source code
FHT_parametric_survival Source code
best_least_squares_update Source code
boosting_iteration_both Source code
boosting_iteration_mu Source code
boosting_iteration_y0 Source code
boosting_run Source code
calculate_at_risk Man page Source code
censor_observations Man page Source code
create_folds Source code
create_folds_stratified Source code
data_to_FHT_loss_function Man page Source code
data_to_optimizable_function Man page Source code
destandardize Source code
draw_IG_data Source code
get_all_but_kth_fold Source code
get_kth_fold Source code
kaplan_meier Man page Source code
loss_function_derivative_mu Man page Source code
loss_function_derivative_y0 Man page Source code
maximum_likelihood_intercepts Source code
non_parametric_estimates Man page Source code
parameter_vector_to_list Man page Source code
plot_IG_times Source code
run_CV Source code
run_L2Boost Source code
run_optimization_on_simulated_data Man page Source code
simulate_FHT_data Man page Source code
simulate_normal_data Source code
survival_censored Source code
vegarsti/fhtboost documentation built on Dec. 15, 2018, 7:06 a.m.