Core features implemented: fit, interpret, and predict using oblique random survival forests.
Vignettes + Readme covering usage of core features.
Website hosted through GitHub pages, managed with
pkgdown.
Added orsf_control_custom(), which allows users to
submit custom functions for identifying linear combinations of inputs
while growing oblique decision trees.
Added weights input to orsf, allowing
users to over or under fit orsf to specific data in their
training set.
Added chf and mort options to
predict.orsf_fit(). Mortality predictions are not fully
implemented yet - they are not supported in partial dependence or
out-of-bag error estimates. These features will be added in a future
update.