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: 0.1.6
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: 2023-09-19
DOI: 10.32614/CRAN.package.r3PG
Author: Volodymyr Trotsiuk ORCID iD [aut, cre], Florian Hartig ORCID iD [aut], David Forrester [aut], Ramiro Silveyra Gonzalez ORCID iD [aut]
Maintainer: Volodymyr Trotsiuk <volodymyr.trotsiuk at wsl.ch>
BugReports: https://github.com/trotsiuk/r3PG/issues
License: GPL-3
URL: https://github.com/trotsiuk/r3PG
NeedsCompilation: yes
CRAN checks: r3PG results


Reference manual: r3PG.pdf
Vignettes: Vignette for the r3PG R package


Package source: r3PG_0.1.6.tar.gz
Windows binaries: r-devel: r3PG_0.1.6.zip, r-release: r3PG_0.1.6.zip, r-oldrel: r3PG_0.1.6.zip
macOS binaries: r-release (arm64): r3PG_0.1.6.tgz, r-oldrel (arm64): r3PG_0.1.6.tgz, r-release (x86_64): r3PG_0.1.6.tgz, r-oldrel (x86_64): r3PG_0.1.6.tgz
Old sources: r3PG archive


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