Package: spectre 1.0.2

spectre: Predict Regional Community Composition

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>.

Authors:Craig Simpkins [aut, cre], Sebastian Hanss [aut], Maximilian Hesselbarth [aut], Matthias Spangenberg [aut], Jan Salecker [aut]

spectre_1.0.2.tar.gz
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spectre.pdf |spectre.html
spectre/json (API)
NEWS

# Install 'spectre' in R:
install.packages('spectre', repos = c('https://csim063.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

4.13 score 135 scripts 187 downloads 5 exports 48 dependencies

Last updated 3 years agofrom:4fbfd3a84b. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 27 2024
R-4.5-win-x86_64NOTEOct 27 2024
R-4.5-linux-x86_64NOTEOct 27 2024
R-4.4-win-x86_64NOTEOct 27 2024
R-4.4-mac-x86_64NOTEOct 27 2024
R-4.4-mac-aarch64NOTEOct 27 2024
R-4.3-win-x86_64NOTEOct 27 2024
R-4.3-mac-x86_64NOTEOct 27 2024
R-4.3-mac-aarch64NOTEOct 27 2024

Exports:calc_commonness_errorgenerate_commonness_matrix_from_gdmplot_commonnessplot_errorrun_optimization_min_conf

Dependencies:briocallrclicolorspacecrayondescdiffobjdigestevaluatefansifarverfsggplot2gluegtableisobandjsonlitelabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgbuildpkgconfigpkgloadpraiseprocessxpsR6RColorBrewerRcppRcppProgressrematch2rlangrprojrootscalestestthattibbleutf8vctrsviridisLitewaldowithr

Getting started with spectre

Rendered fromgetting_started_with_spectre.Rmdusingknitr::rmarkdownon Oct 27 2024.

Last update: 2021-07-17
Started: 2021-05-21

Minimal example

Rendered fromminimal_example.Rmdusingknitr::rmarkdownon Oct 27 2024.

Last update: 2021-07-17
Started: 2021-05-21