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siplab  

Spatial Individual-Plant Modelling
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("siplab", "1.6")



Attach the package and use:
library("siplab")
Maintained by
Oscar Garcia
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-01-10
Latest Update: 2022-03-07
Description:
A platform for computing competition indices and experimenting with spatially explicit individual-based vegetation models.
How to cite:
Oscar Garcia (2014). siplab: Spatial Individual-Plant Modelling. R package version 1.6, https://cran.r-project.org/web/packages/siplab. Accessed 07 Nov. 2024.
Previous versions and publish date:
1.0 (2014-01-10 23:08), 1.1 (2014-05-11 19:03), 1.2 (2016-03-16 10:01), 1.3 (2018-07-29 21:00), 1.4 (2019-04-01 06:40), 1.5 (2020-09-04 14:20)
Other packages that cited siplab R package
View siplab citation profile
Other R packages that siplab depends, imports, suggests or enhances
Complete documentation for siplab
Functions, R codes and Examples using the siplab R package
Some associated functions: assimilation . boreas . edges . efficiency . influence . kernel . pairwise . select . siplab-package . 
Some associated R codes: assimilation.R . assimilation_pix.R . core.R . edges.R . flat_eff.R . gates_eff.R . gates_inf.R . gnomon_eff.R . gnomon_inf.R . pairwise.R . power_eff.R . powers_ker.R . powlinear_sel.R . size_sel.R . spurr_ker.R . staebler_ker.R . tass_eff.R . tass_inf.R . zoi_inf.R .  Full siplab package functions and examples
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