calibration {sdm}

Calibration

Description

evaluates for calibration

Usage

calibration(x,p,nbin,weight,...)

Arguments

x

a numeric vector including the observed values; or a sdmEvaluate object

p

a numeric vector including the predicted values

nbin

number of bins to discretize the predicted values into the specified bins (default: 10); instead, it can be the keyword of 'seek' to ask for seeking the best number

weight

logical, specifies whether a weight should be calculated based on the number of records at each bin. The weight will be used to summarize the calibration statistic

...

additional arguments (not implemented yet.)

Details

The output of this function can be used in the plot function to generate Calibration plot. The calibration statistic is calculated using a method developed by the authors of this package (the journal article is not published yet, but in preparation)

Value

an object of class .sdmCalibration

Author(s)

Babak Naimi [e-mail]

https://www.r-gis.net/

https://www.biogeoinformatics.org

References

Naimi, B., Niamir, A., Jimenez-Valverde, A., Araujo, M.B. (In preparation) Measuring calibration capacity of statistical models: a new statistic.

Naimi, B., Araujo, M.B. (2016) sdm: a reproducible and extensible R platform for species distribution modelling, Ecography, DOI: 10.1111/ecog.01881

Examples

ca <- calibration(x=c(1,1,0,1,0,0,0,1,1,1,0),
          p=c(0.69,0.04,0.05,0.95,0.04,0.65,0.09,0.61,0.75,0.84,0.15))

ca

plot(ca)