| Name : R-LongituRF
| |
| Version : 0.9
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.7.2
| Date : 2024-06-14 11:46:50
|
| Group : Development/Libraries/Other
| Source RPM : R-LongituRF-0.9-lp153.7.2.src.rpm
|
| Size : 0.15 MB
| |
| Packager : (none)
| |
| Summary : Random Forests for Longitudinal Data
|
Description :
Random forests are a statistical learning method widely used in many
areas of scientific research essentially for its ability to learn
complex relationships between input and output variables and also its
capacity to handle high-dimensional data. However, current random
forests approaches are not flexible enough to handle longitudinal data.
In this package, we propose a general approach of random forests for
high-dimensional longitudinal data. It includes a flexible stochastic
model which allows the covariance structure to vary over time.
Furthermore, we introduce a new method which takes intra-individual
covariance into consideration to build random forests. The method is
fully detailled in Capitaine et.al. (2020)
< doi:10.1177/0962280220946080> Random forests for high-dimensional
longitudinal data.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
