New feature! literanger can now serialize trained random forests using cereal.
The project has been moved to gitlab https://gitlab.com/stephematician/literanger.
predict
now matches the
response type in training ea67c83e
read_literanger
and
write_literanger
for serialization.names_of_always_draw
argument 6d31d7f3
9a3b639a
in particular for ‘maxstat’ 37580d9b
Update to pass CRAN’s ASAN check
d3f6424
)d7f058d
)91b6c6d
,
0f62d02
)b6df5d9
)First release
A refactoring and adaptation of the ranger package https://github.com/imbs-hl/ranger for random forests. Has faster prediction mode intended for embedding into the multiple imputation algorithm proposed by Doove et al in:
Doove, L. L., Van Buuren, S., & Dusseldorp, E. (2014). Recursive partitioning for missing data imputation in the presence of interaction effects. Computational statistics & data analysis, 72, 92-104.