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) doi:10.1198/016214503000000819 and Claeskens and Hjort (2008, ISBN:9780521852258).
- Version1.0.0
- R version≥ 2.10
- LicenseGPL-3
- Needs compilation?No
- Last release04/13/2019
Documentation
- VignetteDifferent models for different purposes: focused model comparison in R
- VignetteExamples of focused model comparison: linear regression
- VignetteFocused model comparison with alternative loss functions
- VignetteExamples of focused model comparison: multi-state models
- VignetteExamples of focused model comparison: skew-normal models
- VignetteExamples of focused model comparison: parametric survival modelling
Team
Christopher Jackson
MaintainerShow author detailsGerda Claeskens
Show author detailsRolesAuthorHoward Thom
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 262 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 18 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,211 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 21, 2024 with 67 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports7 packages
- Suggests8 packages