Package: commecometrics 1.1.1

commecometrics: 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>.

Authors:Maria A. Hurtado-Materon [cre, aut], Leila Siciliano-Martina [aut], Rachel A. Short [aut], Jenny L. McGuire [aut], A. Michelle Lawing [cph, aut]

commecometrics_1.1.1.tar.gz
commecometrics_1.1.1.zip(r-4.7-any)commecometrics_1.1.1.zip(r-4.6-any)commecometrics_1.1.1.zip(r-4.5-any)
commecometrics_1.1.1.tgz(r-4.6-any)commecometrics_1.1.1.tgz(r-4.5-any)
commecometrics_1.1.1.tar.gz(r-4.7-any)commecometrics_1.1.1.tar.gz(r-4.6-any)
commecometrics_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
commecometrics/json (API)

# Install 'commecometrics' in R:
install.packages('commecometrics', repos = c('https://mariahm1995.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mariahm1995/commecometrics/issues

Datasets:
  • fossils - Fossil trait data for projection onto ecometric space
  • geoPoints - Example climate sampling points
  • spRanges - Species distribution polygons for five Carnivora species
  • traits - Relative blade length trait data for Carnivora

On CRAN:

Conda:

5.08 score 2 stars 3 scripts 337 downloads 12 exports 76 dependencies

Last updated from:352c07be26. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK154
source / vignettesOK203
linux-releaseOK137
macos-releaseOK165
macos-oldrelOK213
windows-develOK90
windows-releaseOK99
windows-oldrelOK118
wasm-releaseOK137

Exports:anomaly_significanceecometric_modelecometric_model_qualecometric_spaceecometric_space_qualinspect_point_speciesoptimal_binsreconstruct_envreconstruct_env_qualsensitivity_analysissensitivity_analysis_qualsummarize_traits_by_point

Dependencies:askpassbase64encbslibcachemclassclassIntclicpp11crosstalkcurlDBIdigestdplyre1071evaluatefarverfastmapfontawesomefsgenericsggplot2gluegridExtragtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonliteKernSmoothknitrlabelinglatticelazyevalleafletleaflet.providerslifecyclemagrittrmemoisemimeopensslpillarpkgconfigpngproxypurrrR6rappdirsrasterRColorBrewerRcpprlangrmarkdownrnaturalearths2S7sassscalessfspsysterratibbletidyselecttinytexunitsutf8vctrsviridisviridisLitewithrwkxfunyaml

fossil_commecometrics
1. Overview | 2. Data Loading | 3. Summarize Traits by Sampling Point | 4. Run the ecometric model | 5. Visualize the modern ecometric space | 6. Reconstruct Past Environments from Fossils | 7. Plot fossil ecometric space | 8. Conclusion
Rendered fromFossil_commecometrics.Rmdusingknitr::rmarkdown

Last update: 2025-07-17
Started: 2025-07-13

introduction_to_commecometrics
1. Overview | 2. Data Loading | 3. Summarize Traits by Sampling Point | 4. Ecometric Modeling | 4.1 Quantitative Environmental Variables (Precipitation) | 4.2 Assessing the model | 4.3 Visualize Ecometric Space | 4.4. Viewing communities per bin | 4.5 Sensitivity Analysis | 5. Qualitative Environmental Variables (Vegetation) | 5.1 Visualize Ecometric Space | 5.2. Sensitivity Analysis | 6. Conclusion
Rendered fromintroduction_to_commecometrics.Rmdusingknitr::rmarkdown

Last update: 2025-07-17
Started: 2025-07-16