vis.concurvity {dsm} R Documentation

## Visualise concurvity between terms in a GAM

### Description

Plot measures of how much one term in the model could be explained by another. When values are high, one should consider re-running variable selection with one of the offending variables removed to check for stability in term selection.

### Usage

vis.concurvity(model, type = "estimate")


### Arguments

 model fitted model type concurvity measure to plot, see concurvity

### Details

These methods are considered somewhat experimental at this time. Consult concurvity for more information on how concurvity measures are calculated.

David L Miller

### Examples

## Not run:
library(Distance)
library(dsm)

# load the Gulf of Mexico dolphin data (see ?mexdolphins)
data(mexdolphins)

# fit a detection function and look at the summary
hr.model <- ds(distdata, truncation=6000,
key = "hr", adjustment = NULL)

# fit a simple smooth of x and y to counts
mod1 <- dsm(count~s(x,y)+s(depth), hr.model, segdata, obsdata)

# visualise concurvity using the "estimate" metric
vis.concurvity(mod1)

## End(Not run)


[Package dsm version 2.3.2 Index]