bbmle (version 0.7.5)

BIC-methods: Log likelihoods and model selection for mle2 objects

Description

Various functions for likelihood-based and information-theoretic model selection of likelihood models

Usage

## S3 method for class 'ANY,mle2,logLik':
BIC(object,...)

Arguments

object

A logLik or mle2 object

...

An optional list of additional logLik or mle2 objects (fitted to the same data set). If the number of attributes has not been included as an attribute of the fit or of the log-likelihood, it can specified as

Value

• A table of the BIC values, degrees of freedom, and possibly delta-BIC values relative to the minimum-BIC model

Details

Further arguments to BIC can be specified in the ... list: delta (logical) specifies whether to include a column for delta-BIC in the output.

Examples

x <- 0:10
  y <- c(26, 17, 13, 12, 20, 5, 9, 8, 5, 4, 8)
  (fit <- mle2(y~dpois(lambda=ymax/(1+x/xhalf)),
  start=list(ymax=25,xhalf=3)))
  (fit2 <- mle2(y~dpois(lambda=(x+1)*slope),
  start=list(slope=1)))
  BIC(fit,nobs=length(x))
  BIC(fit,fit2,nobs=length(x))