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spectre
View on CRAN: Click
here
Download and install spectre package within the R console
Install from CRAN:
install.packages("spectre")
Install from Github:
library("remotes")
install_github("cran/spectre") Install by package version:
library("remotes")
install_version("spectre", "1.0.5") Attach the package and use:
library("spectre")
Maintained by
Craig Simpkins
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-05-21
Latest Update: 2021-07-17
Description:
Predict regional community composition at a fine spatial resolution using only sparse biological and environmental data. The package is based on the DynamicFOAM algorithm described in Mokany et al. (2011) <doi:10.1111/j.1461-0248.2011.01675.x>.
How to cite:
Craig Simpkins (2021). spectre: Predict Regional Community Composition. R package version 1.0.5, https://cran.r-project.org/web/packages/spectre. Accessed 04 Jun. 2026.
Previous versions and publish date:
Other packages that cited spectre R package
View spectre citation profile
Other R packages that spectre depends,
imports, suggests or enhances
Complete documentation for spectre
Functions, R codes and Examples using
the spectre R package
Some associated functions: alpha_list . calc_commonness_error . estimated_gamma . generate_commonness_matrix_from_gdm . minimal_example_data . plot_commonness . plot_error . run_optimization_min_conf . spectre . target_matrix .
Some associated R codes: RcppExports.R . calc_commonness_error.R . catch-routine-registration.R . data.R . generate_commonness_matrix_from_gdm.R . onUnload.R . plot_commonness.R . plot_error.R . run_optimization_min_conf.R . spectre-package.R . Full spectre package functions and examples
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