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r3PG  

Simulating Forest Growth using the 3-PG Model
View on CRAN: Click here


Download and install r3PG package within the R console
Install from CRAN:
install.packages("r3PG")

Install from Github:
library("remotes")
install_github("cran/r3PG")

Install by package version:
library("remotes")
install_version("r3PG", "0.1.6")



Attach the package and use:
library("r3PG")
Maintained by
Volodymyr Trotsiuk
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-11
Latest Update: 2023-09-19
Description:
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>.
How to cite:
Volodymyr Trotsiuk (2020). r3PG: Simulating Forest Growth using the 3-PG Model. R package version 0.1.6, https://cran.r-project.org/web/packages/r3PG
Previous versions and publish date:
0.1.0 (2020-05-11 17:10), 0.1.1 (2020-05-19 08:50), 0.1.2 (2020-06-03 01:20), 0.1.3 (2021-02-20 02:40), 0.1.4 (2022-05-19 13:50), 0.1.5 (2023-07-04 16:10)
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