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DImodels
View on CRAN: Click
here
Download and install DImodels package within the R console
Install from CRAN:
install.packages("DImodels")
Install from Github:
library("remotes")
install_github("cran/DImodels")
Install by package version:
library("remotes")
install_version("DImodels", "1.3.2")
Attach the package and use:
library("DImodels")
Maintained by
Rafael de Andrade Moral
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-10-01
Latest Update: 2023-05-22
Description:
The 'DImodels' package is suitable for analysing data from biodiversity and ecosystem function studies using the Diversity-Interactions (DI) modelling approach introduced by Kirwan et al. (2009) . Suitable data will contain proportions for each species and a community-level response variable, and may also include additional factors, such as blocks or treatments. The package can perform data manipulation tasks, such as computing pairwise interactions (the DI_data() function), can perform an automated model selection process (the autoDI() function) and has the flexibility to fit a wide range of user-defined DI models (the DI() function).
How to cite:
Rafael de Andrade Moral (2020). DImodels: Diversity-Interactions (DI) Models. R package version 1.3.2, https://cran.r-project.org/web/packages/DImodels. Accessed 22 Dec. 2024.
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Complete documentation for DImodels
Functions, R codes and Examples using
the DImodels R package
Some associated functions: Bell . DI . DI_compare . DI_data_manipulation . DI_methods . DImodels-internal . DImodels-package . Switzerland . autoDI . contrasts_DI . design_a . design_b . extract . predict.DI . sim0 . sim0_design . sim1 . sim2 . sim3 . sim4 . sim5 . theta_CI . update_DI .
Some associated R codes: DI.R . DI_internal.R . autoDI.R . autoDI_internal.R . dataDI.R . predictDI.R . Full DImodels package functions and examples
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