| Name : R-gbm.auto
| |
| Version : 1.5.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.6.7
| Date : 2024-06-14 11:49:26
|
| Group : Development/Libraries/Other
| Source RPM : R-gbm.auto-1.5.0-lp153.6.7.src.rpm
|
| Size : 3.63 MB
| |
| Packager : (none)
| |
| Summary : Automated Boosted Regression Tree Modelling and Mapping Suite
|
Description :
Automates delta log-normal boosted regression tree abundance
prediction. Loops through parameters provided (LR (learning rate), TC
(tree complexity), BF (bag fraction)), chooses best, simplifies, &
generates line, dot & bar plots, & outputs these & predictions & a
report, makes predicted abundance maps, and Unrepresentativeness
surfaces. Package core built around \'gbm\' (gradient boosting machine)
functions in \'dismo\' (Hijmans, Phillips, Leathwick & Jane Elith, 2020 &
ongoing), itself built around \'gbm\' (Greenwell, Boehmke, Cunningham &
Metcalfe, 2020 & ongoing, originally by Ridgeway). Indebted to
Elith/Leathwick/Hastie 2008 \'Working Guide\'
< doi:10.1111/j.1365-2656.2008.01390.x> workflow follows Appendix S3.
See < http://www.simondedman.com/> for published guides and papers using
this package.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
