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fic
View on CRAN: Click
here
Download and install fic package within the R console
Install from CRAN:
install.packages("fic")
Install from Github:
library("remotes")
install_github("cran/fic")
Install by package version:
library("remotes")
install_version("fic", "1.0.0")
Attach the package and use:
library("fic")
Maintained by
Christopher Jackson
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-13
Latest Update: 2019-04-13
Description:
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).
How to cite:
Christopher Jackson (2019). fic: Focused Information Criteria for Model Comparison. R package version 1.0.0, https://cran.r-project.org/web/packages/fic. Accessed 29 Jan. 2025.
Previous versions and publish date:
No previous versions
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View fic citation profile
Other R packages that fic depends,
imports, suggests or enhances
Complete documentation for fic
Functions, R codes and Examples using
the fic R package
Some associated functions: all_inds . birthwt . expand_inds . fic-package . fic.coxph . fic.flexsurvreg . fic.glm . fic.lm . fic.msm . fic . fic.survreg . fic_multi . fit_submodels . focus_fns . get_H0 . ggplot_fic . melanoma . newdata_to_X . plot.fic . summary.fic .
Some associated R codes: afic.R . data.R . fic-package.R . fic.R . fic.coxph.R . fic.flexsurvreg.R . fic.glm.R . fic.lm.R . fic.msm.R . fic.survreg.R . focus.R . model_utils.R . plot.fic.R . summary.R . Full fic package functions and examples
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