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
Config/pak/sysreqs: libicu-dev
Repository: https://jernejjevsenak.r-universe.dev
Date/Publication: 2025-09-01 06:17:33 UTC
RemoteUrl: https://github.com/jernejjevsenak/mlfs
RemoteRef: HEAD
RemoteSha: 006f299edc9415d4357aff3e5f8016893ab09c8a
Packaged: 2026-07-03 20:36:55 UTC; root
Author: Jernej Jevsenak [aut, cre, cph]
Maintainer: Jernej Jevsenak <jernej.jevsenak@gmail.com>