r3PG: Simulating Forest Growth using the 3-PG Model

Provides a flexible and easy-to-use interface for the Physiological Processes Predicting Growth (3-PG) model written in Fortran. The r3PG serves as a flexible and easy-to-use interface for the 3-PGpjs (monospecific, evenaged and evergreen forests) described in Landsberg & Waring (1997) <doi:10.1016/S0378-1127(97)00026-1> and the 3-PGmix (deciduous, uneven-aged or mixed-species forests) described in Forrester & Tang (2016) <doi:10.1016/j.ecolmodel.2015.07.010>.

Version: 0.1.2
Depends: R (≥ 3.5.0)
Suggests: knitr (≥ 1.15.1), rmarkdown (≥ 1.3), R.rsp (≥ 0.40.0), testthat (≥ 1.0.2), roxygen2, BayesianTools, sensitivity, dplyr, ggplot2
Published: 2020-06-02
Author: Volodymyr Trotsiuk ORCID iD [aut, cre], Florian Hartig ORCID iD [aut], David Forrester [aut]
Maintainer: Volodymyr Trotsiuk <vtrotsiuk at gmail.com>
BugReports: https://github.com/trotsiuk/r3PG/issues
License: GPL-3
URL: https://github.com/trotsiuk/r3PG
NeedsCompilation: yes
Materials: NEWS
CRAN checks: r3PG results

Downloads:

Reference manual: r3PG.pdf
Vignettes: Vignette for the r3PG R package
Package source: r3PG_0.1.2.tar.gz
Windows binaries: r-devel: r3PG_0.1.1.zip, r-release: r3PG_0.1.2.zip, r-oldrel: r3PG_0.1.1.zip
macOS binaries: r-release: r3PG_0.1.1.tgz, r-oldrel: r3PG_0.1.2.tgz
Old sources: r3PG archive

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