Package: gbm.auto
Title: Automated Boosted Regression Tree Modelling and Mapping Suite
Version: 2023.06.13
Authors@R: c(
    person("Simon", "Dedman", , "simondedman@gmail.com", role = c("aut", "cre")),
    person("Hans", "Gerritsen", role = "aut")
  )
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.
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), mapplots (>= 1.5), Metrics (>= 0.1.4), sf (>= 0.9-7),
        shapefiles (>= 0.7), stats (>= 3.3.1), stringi (>= 1.6.1)
Encoding: UTF-8
Language: en-GB
LazyData: true
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2023-06-13 23:59:10 UTC; simon
Author: Simon Dedman [aut, cre],
  Hans Gerritsen [aut]
Maintainer: Simon Dedman <simondedman@gmail.com>
Repository: CRAN
Date/Publication: 2023-06-14 07:40:02 UTC
Built: R 4.2.0; ; 2023-06-15 11:53:01 UTC; unix
