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AIC(<regional_mix>)
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AIC from a regional_mix model |
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AIC(<species_mix>)
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Return AIC from a species_mix model |
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BIC(<regional_mix>)
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BIC from a regional_mix model |
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BIC(<species_mix>)
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Return BIC from a species_mix model |
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coef(<regional_mix>)
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Print the coefficientf from a regional_mix model |
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coef(<species_mix>)
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print the coefficients from the species_mix model |
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cooks.distance(<regional_mix>)
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cooks.distance |
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table_to_species_data() make_mixture_data()
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data_preperation-class |
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ecomix
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package file |
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effectPlotData()
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Generate data for plotting or predicting partial effects of covariates |
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extractAIC(<regional_mix>)
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Extract AIC from regional_mix model. |
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logLik(<regional_mix>)
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Extract log-likelihood from a regional_mix model. |
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logLik(<species_mix>)
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Extract log-likelihood from a species_mix model. |
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plot(<regional_mix>)
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Plot residuals from a regional_mix model. |
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plot(<regional_mix_stab>)
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Diagnostic plotting to see if RCP groups are stable |
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plot(<species_mix>)
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plot.species_mix |
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plot(<species_mix.multifit>)
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plot.species_mix.multifit |
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plot(<species_mix_effectPlotData>)
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plot.species_mix_effectPlotData |
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predict(<regional_mix>)
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Predicts RCP probabilities at a series of sites. Confidence intervals are available too. |
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predict(<species_mix>)
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Predict a species_mix model. |
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print(<regional_mix>)
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Prints some attributes of a regimix object. |
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print(<species_mix>)
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Print a species_mix model object. |
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regional_mix() regional_mix.multifit()
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This is how you fit a regions of common profiles model in ecomix |
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regional_mix.bootstrap()
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Performs bootstrap sample and estimation for regimix objects. Useful for calculating measures of uncertainty in predictions from a regimix object, and also about the regimix parameter estimates. This function can be used in conjunction with vcov.regimix(qv) and predict.regimix(qv). In partciular, these bootstrap samples can be used to gauge variability in parameter estimates and hence the model itself. |
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regional_mix.fit()
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regional_mix.fit |
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regional_mix.simulate()
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Simulate a regional_mix dataset for modelling. |
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regional_mix.species_profile()
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What is the average species profile per RCP? |
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residuals(<regional_mix>)
|
Residuals for a regional_mix object |
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residuals(<species_mix>)
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Estimate residuals for a species_mix object |
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species_mix()
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This is how you fit a species archetype model (SAM) in ecomix. |
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species_mix.bootstrap()
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species_mix.bootstrap |
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species_mix.fit()
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species_mix.fit |
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species_mix.multifit() print(<species_mix.multifit>)
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species_mix.multifit |
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species_mix.simulate()
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Simulate species mix data for model fitting. |
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stability.regional_mix()
|
Diagnostic checks to see if RCP groups are stable |
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summary(<regional_mix>)
|
A summary from a regional_mix object. |
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summary(<species_mix>)
|
Print a summary of the species_mix model |
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terms(<species_mix>)
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Return terms from a fitted species_mix model |
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vcov(<regional_mix>)
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Variance matrix for a regional_mix object. |
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vcov(<species_mix>)
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Estimate the Variance-covariance matrix for a species_mix object. |