Package: enmpa 0.1.9
enmpa: Ecological Niche Modeling using Presence-Absence Data
A set of tools to perform Ecological Niche Modeling with presence-absence data. It includes algorithms for data partitioning, model fitting, calibration, evaluation, selection, and prediction. Other functions help to explore signals of ecological niche using univariate and multivariate analyses, and model features such as variable response curves and variable importance. Unique characteristics of this package are the ability to exclude models with concave quadratic responses, and the option to clamp model predictions to specific variables. These tools are implemented following principles proposed in Cobos et al., (2022) <doi:10.17161/bi.v17i.15985>, Cobos et al., (2019) <doi:10.7717/peerj.6281>, and Peterson et al., (2008) <doi:10.1016/j.ecolmodel.2007.11.008>.
Authors:
enmpa_0.1.9.tar.gz
enmpa_0.1.9.zip(r-4.5)enmpa_0.1.9.zip(r-4.4)enmpa_0.1.9.zip(r-4.3)
enmpa_0.1.9.tgz(r-4.4-x86_64)enmpa_0.1.9.tgz(r-4.4-arm64)enmpa_0.1.9.tgz(r-4.3-x86_64)enmpa_0.1.9.tgz(r-4.3-arm64)
enmpa_0.1.9.tar.gz(r-4.5-noble)enmpa_0.1.9.tar.gz(r-4.4-noble)
enmpa_0.1.9.tgz(r-4.4-emscripten)enmpa_0.1.9.tgz(r-4.3-emscripten)
enmpa.pdf |enmpa.html✨
enmpa/json (API)
NEWS
# Install 'enmpa' in R: |
install.packages('enmpa', repos = c('https://luisagi.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/luisagi/enmpa/issues
Last updated 3 months agofrom:514f7e6705. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 12 2024 |
R-4.5-win-x86_64 | OK | Nov 12 2024 |
R-4.5-linux-x86_64 | OK | Nov 12 2024 |
R-4.4-win-x86_64 | OK | Nov 12 2024 |
R-4.4-mac-x86_64 | OK | Nov 12 2024 |
R-4.4-mac-aarch64 | OK | Nov 12 2024 |
R-4.3-win-x86_64 | OK | Nov 12 2024 |
R-4.3-mac-x86_64 | OK | Nov 12 2024 |
R-4.3-mac-aarch64 | OK | Nov 12 2024 |
Exports:aux_string_combaux_var_combcalibration_glmevaluation_statsfit_glmsfit_selectedget_formulasget_formulas_mainindependent_eval01independent_eval1jackknifekfold_partitionmodel_selectionmodel_validationnew_enmpa_calibrationnew_enmpa_fitted_modelsniche_signalniche_signal_permanovaniche_signal_univariateoptimize_metricsplot_importanceplot_jkplot_niche_signalplot_niche_signal_permanovaplot_niche_signal_univariatepredict_glmpredict_selectedproc_enmresp2varresponse_curvevar_importance
Dependencies:clustercodetoolsdoSNOWellipseforeachiteratorslatticeMASSMatrixmgcvnlmepermuteRcppsnowterravegan