Package: MLFS
Type: Package
Title: Machine Learning Forest Simulator
Version: 0.4.2
Author: Jernej Jevsenak
Maintainer: Jernej Jevsenak <jernej.jevsenak@gmail.com>
Description: Climate-sensitive forest simulator based on the principles of 
  machine learning. It stimulates all key processes in the forest: radial growth, 
  height growth, mortality, crown recession, regeneration and harvesting. The 
  method for predicting tree heights was described by Skudnik and Jevšenak
  (2022) <doi:10.1016/j.foreco.2022.120017>, while the method for predicting
  basal area increments (BAI) was described by Jevšenak and Skudnik (2021) 
  <doi:10.1016/j.foreco.2020.118601>.
License: GPL-3
Imports: brnn(>= 0.6), ranger(>= 0.13.1), reshape2 (>= 1.4.4), pscl (>=
        1.5.5), naivebayes(>= 0.9.7), magrittr(>= 1.5), dplyr(>=
        0.7.0),tidyr (>= 1.1.3), tidyselect(>= 1.0.0)
Encoding: UTF-8
LazyData: true
Depends: R(>= 3.4)
NeedsCompilation: no
Repository: CRAN
RoxygenNote: 7.1.2
Packaged: 2022-04-18 06:52:34 UTC; JernejJ
Date/Publication: 2022-04-20 08:22:37 UTC
Built: R 4.3.3; ; 2025-04-07 02:38:15 UTC; windows
