API for profoc
Probabilistic Forecast Combination Using CRPS Learning

Global functions
adjacency_to_incidence Source code
array_to_list Source code
autoplot Man page
autoplot.batch Man page Source code
autoplot.online Man page Source code
autoplot_common Source code
batch Man page Source code
batch_rcpp Source code
conline Man page
darken Source code
expand_grid_sample Source code
get_seed Source code
init_experts_list Man page Source code
list_to_array Source code
loss Source code
loss_grad_wrt_w Source code
make_basis_matrix Source code
make_basis_mats Man page Source code
make_hat_matrix Source code
make_hat_mats Man page Source code
make_knots Man page Source code
online Man page Source code
optimize_betas Source code
optimize_weights Source code
oracle Man page Source code
penalty Man page Source code
periodic_adjacency Source code
pgbeta Source code
plot.batch Man page Source code
plot.online Man page Source code
plot_common Source code
post_process_model Man page Source code
predict.online Man page Source code
print.batch Man page Source code
print.online Man page Source code
print_common Source code
profoc-package Man page
reexports Man page
sample_int Source code
splines2_basis Man page Source code
summary.online Man page Source code
test_class_input Source code
test_class_output Source code
tidy Man page
tidy.online.experts_loss Man page Source code
tidy.online.forecaster_loss Man page Source code
tidy.online.predictions Man page Source code
tidy.online.weights Man page Source code
update.online Man page Source code
val_or_def Source code
profoc documentation built on Sept. 30, 2024, 9:20 a.m.