Focused Information Criteria for Model Comparison

Compares how well different models estimate a quantity of interest (the "focus") so that different models may be preferred for different purposes. Comparisons within any class of models fitted by maximum likelihood are supported, with shortcuts for commonly-used classes such as generalised linear models and parametric survival models. The methods originate from Claeskens and Hjort (2003) and Claeskens and Hjort (2008, ISBN:9780521852258).


Reference manual

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1.0.0 by Christopher Jackson, a year ago

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Authors: Christopher Jackson [cre, aut] (package design and programming) , Gerda Claeskens [aut] (method development and design advice) , Howard Thom [ctb]

Documentation:   PDF Manual  

GPL-3 license

Imports stats, numDeriv, mvtnorm, ggplot2, scales, survival, tensor, abind

Suggests knitr, rmarkdown, testthat, msm, flexsurv, sn, gapminder, GGally

See at CRAN