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DESCRIPTION
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DESCRIPTION
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Package: gbm.auto
Title: Automated Boosted Regression Tree Modelling and Mapping Suite
Version: 2024.10.01
Authors@R: person("Simon", "Dedman", , "[email protected]", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9108-972X"))
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 <https://www.simondedman.com/> for published guides and papers
using this package.
License: MIT + file LICENSE
Depends:
R (>= 3.5.0)
Imports:
beepr (>= 1.2),
dismo (>= 1.3-14),
dplyr (>= 1.0.9),
gbm (>= 2.1.1),
ggmap (>= 3.0.2),
ggplot2 (>= 3.4.2),
ggspatial (>= 1.1.9),
lifecycle,
lubridate (>= 1.9.2),
mapplots (>= 1.5),
Metrics (>= 0.1.4),
readr (>= 2.1.4),
sf (>= 0.9-7),
stars (>= 0.6-3),
starsExtra (>= 0.2.7),
stats (>= 3.3.1),
stringi (>= 1.6.1),
tidyselect (>= 1.2.0),
viridis (>= 0.6.4)
Encoding: UTF-8
Language: en-GB
LazyData: true
RoxygenNote: 7.3.2
Roxygen: list(markdown = TRUE)