Package: gbm.auto
Title: Automated Boosted Regression Tree Modelling and Mapping Suite
Version: 1.5.0
Authors@R: c(
    person("Simon", "Dedman", email = "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.
Depends: R (>= 3.5.0)
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
LazyData: true
Imports: gbm (>= 2.1.1), dismo (>= 1.0-15), beepr (>= 1.2), mapplots
        (>= 1.5), maptools (>= 0.9-1), rgdal (>= 1.1-10), rgeos (>=
        0.3-19), raster (>= 2.5-8), sf (>= 0.9-7), shapefiles (>= 0.7),
        stats (>= 3.3.1)
RoxygenNote: 7.1.2
NeedsCompilation: no
Packaged: 2021-09-30 22:21:14 UTC; simon
Author: Simon Dedman [aut, cre],
  Hans Gerritsen [aut]
Maintainer: Simon Dedman <simondedman@gmail.com>
Repository: CRAN
Date/Publication: 2021-10-01 04:20:02 UTC
Built: R 4.2.0; ; 2022-03-22 14:56:34 UTC; unix
