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r3PG
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]
[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) and the 3-PGmix (deciduous, uneven-aged or mixed-species forests) described in Forrester & Tang (2016) .
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. Accessed 03 Dec. 2024.
Previous versions and publish date:
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Other R packages that r3PG depends,
imports, suggests or enhances
Complete documentation for r3PG
Functions, R codes and Examples using
the r3PG R package
Some associated functions: d_climate . d_parameters . d_site . d_sizeDist . d_species . d_thinning . get_parameters . i_output . i_parameters . i_parameters_lit . i_sizeDist . prepare_climate . prepare_input . prepare_parameters . prepare_site . prepare_sizeDist . prepare_species . prepare_thinning . r3PG . run_3PG .
Some associated R codes: data.R . get_parameters.R . prepare_climate.R . prepare_input.R . prepare_parameters.R . prepare_site.R . prepare_sizeDist.R . prepare_species.R . prepare_thinning.R . r3PG.R . run_3PG.R . Full r3PG package functions and examples
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