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Description

Ecometric Models of Trait–Environment Relationships at the Community Level.

Provides a framework for modeling relationships between functional traits and both quantitative and qualitative environmental variables at the community level. It includes tools for trait binning, likelihood-based environmental estimation, model evaluation, fossil projection into modern ecometric space, and result visualization. For more details see Vermillion et al. (2018) <doi:10.1007/978-3-319-94265-0_17>, Polly et al. (2011) <doi:10.1098/rspb.2010.2233> and Polly and Head (2015) <doi:10.1017/S1089332600002953>.

commecometrics

The commecometrics package provides tools for conducting ecometric analyses using trait data, species distributions, and environmental variables. It supports workflows for both continuous (e.g., precipitation) and categorical (e.g., vegetation) environmental variables, and includes utilities for fossil data integration, paleoenvironmental reconstruction, and sensitivity analyses.

Installation

You can install the development version of commecometrics from GitHub with:

# Install devtools if you don't have it
install.packages("devtools")

# Install commecometrics from GitHub
devtools::install_github("mariahm1995/commecometrics")

You can also get the official release version from CRAN

install.packages("commecometrics")

Learn More

Two vignettes demonstrate the full workflow and capabilities of the package:

  • Introduction to commecometrics
    Overview of trait–environment modeling, prediction, and visualization using modern data.

  • Reconstructing Paleoenvironments from Fossil Traits
    Extends the framework to fossil communities for estimating past environmental conditions.

You can also access them from within R:

# List all vignettes
browseVignettes("commecometrics")
#> No vignettes found by browseVignettes("commecometrics")

# Open a specific vignette
vignette("introduction-to-commecometrics")
#> Warning: vignette 'introduction-to-commecometrics' not found
Metadata

Version

1.0.0

License

Unknown

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