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 [aut, cre], Florian Hartig [aut], David Forrester [aut], Ramiro Silveyra Gonzalez [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

Documentation:

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

Downloads:

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

Linking:

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