gbm.auto-package: gbm.auto: Automated Boosted Regression Tree Modelling and...
In SimonDedman/gbm.auto: Automated Boosted Regression Tree Modelling and Mapping Suite
gbm.auto-package R Documentation
gbm.auto: 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' \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/j.1365-2656.2008.01390.x")}; workflow follows Appendix S3. See https://www.simondedman.com/ for published guides and papers using this package.
Author(s)
Maintainer: Simon Dedman simondedman@gmail.com (ORCID)
SimonDedman/gbm.auto documentation built on Oct. 9, 2024, 8:57 p.m.
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| gbm.auto-package | R Documentation |
gbm.auto: 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' \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1111/j.1365-2656.2008.01390.x")}; workflow follows Appendix S3. See https://www.simondedman.com/ for published guides and papers using this package.
Author(s)
Maintainer: Simon Dedman simondedman@gmail.com (ORCID)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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