The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

# enmpa 0.1.9

• New Functions:
  • Added three new functions: resp2var(), jackknife(), and plot_jk().
    • resp2var(): Transforms species probability data into a two-dimensional environmental space for visualization.
    • jackknife(): Evaluates the influence of each variable on the overall model using four distinct metrics: ROC-AUC, TSS, AICc, and Deviance. This function facilitates jackknife resampling to assess variable importance.
    • plot_jk(): A function to plot the results of the jackknife resampling.
• Bug Fixes:
  • Fixed a bug in calibration_glm() related to runtime calculation errors.

# enmpa 0.1.8

• New Classes:
  • Added two new classes: enmpa_calibration and enmpa_fitted_models.
    • These classes help manage the list outputs from the functions calibration_glm and fit_selected.
    • Each class has two associated methods: summary() and print(), which provide summaries and print representations of the objects, respectively.
• Updates to predict_glm:
  • Added a new flag extrapolation_type to indicate the type of extrapolation:
    • "E": Free extrapolation
    • "NE": No extrapolation
    • "EC": Extrapolation with clamping
  • The flag var_to_clamp was replaced by restricted_vars.
  • The flag clamping was removed.
• Updates to model_validation:
  • Now includes ‘residual deviance’ as a validation metric.

# enmpa 0.1.5

• Initial CRAN submission.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.