Package: MLFS
Type: Package
Title: Machine Learning Forest Simulator
Version: 0.4.3
Authors@R: c(
  person(
    given  = "Jernej",
    family = "Jevsenak",
    email  = "jernej.jevsenak@gmail.com",
    role   = c("aut", "cre", "cph")
  )
 )
Description: Climate-sensitive, single-tree forest simulator based on
  data-driven machine learning. It simulates the main forest processes—
  radial growth, height growth, mortality, crown recession, regeneration,
  and harvesting—so users can assess stand development under climate and
  management scenarios. The height model is described by Skudnik and
  Jevšenak (2022) <doi:10.1016/j.foreco.2022.120017>, the basal-area
  increment model by Jevšenak and Skudnik (2021) <doi:10.1016/j.foreco.2020.118601>,
  and an overview of the MLFS package, workflow, and applications is
  provided by Jevšenak, Arnič, Krajnc, and Skudnik (2023), Ecological
  Informatics <doi:10.1016/j.ecoinf.2023.102115>.
License: GPL-3
URL: https://CRAN.R-project.org/package=MLFS
BugReports: https://github.com/jernejjevsenak/MLFS/issues
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
RoxygenNote: 7.3.2
Packaged: 2025-09-01 06:19:13 UTC; JernejJ
Author: Jernej Jevsenak [aut, cre, cph]
Maintainer: Jernej Jevsenak <jernej.jevsenak@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-01 08:00:48 UTC
Built: R 4.4.3; ; 2025-12-05 04:50:03 UTC; windows
