anova.modTempEff: The anova method for a 'modTempEff' object

In modTempEff: Modelling temperature effects using time series data

Description

Comparing "modTempEff" objects returned by tempeff() using an analysis of deviance table.

Usage

## S3 method for class 'modTempEff'
anova(object, ..., dispersion = NULL, test = NULL)

Arguments

object,...	fitted model objects of class "modTempEff" returned by tempeff().
dispersion	currently ignored.
test	what sort of likelihood based criterion has to be used for model comparisons. One of "Chisq", "F", "Cp" or "BIC".

Details

anova.modTempEff performs model comparisons in terms of likelihood-based criteria depending on its argument test. In anova.modTempEff, test="BIC" is also allowed. The BIC appears to be the best choice to select the number of breakpoints. When test="Chisq", likelihood ratio tests are carried out; however note that the p-values for smooth terms (included via seas() or csdl()) are approximate only. The function does not work for a single "modTempEff" fit.

Author(s)

Vito Muggeo

See Also

print.modTempEff

Examples

  ## Not run: 
  #continues from ?tempeff
  anova(o3,o1,test="Chisq") #approximate p-value..
  
  anova(o3,o2,o1,test="Cp")
  
  
## End(Not run)
  

modTempEff documentation built on May 1, 2019, 10:08 p.m.