AICtable: Make a table for AIC or other criterion

In mikemeredith/wiqid: Quick and Dirty Estimates for Wildlife Populations

Make a table for AIC or other criterion

Description

Takes the output from a call to AIC or AICc returns a data frame with model likelihoods and model weights.

Usage

AICtable(x, digits=3, sort)

Arguments

x	A data frame with the second column being AIC-type values, as returned by AIC or AICc.
digits	integer indicating the number of decimal places to retain.
sort	logical indicating whether the table should be sorted by AIC; if missing, the rows are sorted if the table has row names.

Value

Returns the original data frame with the following extra columns

Delta	The difference between each value in x and min(x)
ModelLik	The model likelihood
ModelWt	The model weight

If sort = TRUE, the rows will be sorted by increasing values of AIC/AICc.

Author(s)

Mike Meredith

References

Burnham and Anderson (2002) Model selection and multimodel inference: a practical information-theoretic approach, 2 edn. Springer-Verlag.

Examples

data(KanhaTigers)
mods <- NULL
mods$M0 <- closedCapM0(KanhaTigers)
mods$Mh2 <- closedCapMh2(KanhaTigers)
mods$MhJK <- closedCapMhJK(KanhaTigers)
mods$Mt <- closedCapMt(KanhaTigers)
AICc <- sapply(mods, AICc)
AICtable(AICc)
# MhJK does not use likelihood maximisation

mikemeredith/wiqid documentation built on Nov. 17, 2022, 5:10 a.m.