getEffectPlots: Combine effect plots for ensemble BRT runs

In SEEG-Oxford/seegSDM: Streamlined Functions for Species Distribution Modelling in the SEEG Research Group

Description

Given models, a list of BRT model bootstraps (each element an output from runBRT), return a list of matrices for, and optionally plot (plot), the mean effect curve for each covariate in the model with confidence regions bounded by quantiles. The ... argument is passed to plot and allows some customisation of the plotting outputs.

Usage

getEffectPlots(models, plot = FALSE, quantiles = c(0.025, 0.975), ...)

Arguments

models	A list of BRT model bootstraps, each element being an output from runBRT.
plot	Whether to plot the overall effect curves.
quantiles	Quantiles from which to calculate the uncertainty regions.
...	Additional arguments to be passe to plot.

Value

A list of matrices, one for each covariate, giving the mean and quantiles of the effect curve as well as the effect curves for each submodel. Optionally a plot as a side-effect.

See Also

response, plot, runBRT, quantile

Examples

# TO DO

SEEG-Oxford/seegSDM documentation built on May 9, 2019, 11:08 a.m.