Package: r3PG 0.1.7

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>.

Authors:Volodymyr Trotsiuk [aut, cre], Florian Hartig [aut], David Forrester [aut], Ramiro Silveyra Gonzalez [aut]

r3PG_0.1.7.tar.gz
r3PG_0.1.7.zip(r-4.5)r3PG_0.1.7.zip(r-4.4)r3PG_0.1.7.zip(r-4.3)
r3PG_0.1.7.tgz(r-4.4-x86_64)r3PG_0.1.7.tgz(r-4.4-arm64)r3PG_0.1.7.tgz(r-4.3-x86_64)r3PG_0.1.7.tgz(r-4.3-arm64)
r3PG_0.1.7.tar.gz(r-4.5-noble)r3PG_0.1.7.tar.gz(r-4.4-noble)
r3PG.pdf |r3PG.html
r3PG/json (API)

# Install 'r3PG' in R:
install.packages('r3PG', repos = c('https://trotsiuk.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/trotsiuk/r3pg/issues

Uses libs:
  • fortran– Runtime library for GNU Fortran applications
Datasets:

On CRAN:

13 exports 27 stars 2.50 score 0 dependencies 24 scripts 244 downloads

Last updated 4 months agofrom:e39bd8e950. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 20 2024
R-4.5-win-x86_64OKAug 20 2024
R-4.5-linux-x86_64OKAug 20 2024
R-4.4-win-x86_64OKAug 20 2024
R-4.4-mac-x86_64OKAug 20 2024
R-4.4-mac-aarch64OKAug 20 2024
R-4.3-win-x86_64OKAug 20 2024
R-4.3-mac-x86_64OKAug 20 2024
R-4.3-mac-aarch64OKAug 20 2024

Exports:get_parametersi_outputi_parametersi_parameters_liti_sizeDistprepare_climateprepare_inputprepare_parametersprepare_siteprepare_sizeDistprepare_speciesprepare_thinningrun_3PG

Dependencies:

Vignette for the r3PG R package

Rendered fromr3PG-ReferenceManual.html.asisusingR.rsp::asison Aug 20 2024.

Last update: 2023-08-22
Started: 2023-08-22