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fic: 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) &lt;<a href="https://doi.org/10.1198%2F016214503000000819" target="_top">doi:10.1198/016214503000000819</a>&gt; and Claeskens and Hjort (2008, ISBN:9780521852258).



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fic: Focused Information Criteria for Model Comparison

https://cran.r-project.org/package=fic

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) &lt;<a href="https://doi.org/10.1198%2F016214503000000819" target="_top">doi:10.1198/016214503000000819</a>&gt; and Claeskens and Hjort (2008, ISBN:9780521852258).



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https://cran.r-project.org/package=fic

fic: 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) &lt;<a href="https://doi.org/10.1198%2F016214503000000819" target="_top">doi:10.1198/016214503000000819</a>&gt; and Claeskens and Hjort (2008, ISBN:9780521852258).

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      Focused Information Criteria for Model Comparison [R package fic version 1.0.1]
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      Christopher Jackson

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      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) &lt;<a href="https://doi.org/10.1198%2F016214503000000819" target="_top">doi:10.1198/016214503000000819</a>&gt; and Claeskens and Hjort (2008, ISBN:9780521852258).
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