Focused Information Criteria for Model Comparison

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Documentation for package ‘fic’ version 1.0.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

fic-package	Focused Information Criteria for Model Comparison
all_inds	Form indicator matrix describing all submodels of a general linear wide model
all_inds.coxph	Form indicator matrix describing all submodels of a general linear wide model
all_inds.default	Form indicator matrix describing all submodels of a general linear wide model
all_inds.glm	Form indicator matrix describing all submodels of a general linear wide model
all_inds.lm	Form indicator matrix describing all submodels of a general linear wide model
birthwt	Risk factors associated with low infant birth weight
expand_inds	Form 'fic' model indicator argument in presence of factors
FIC	Focused information criteria: main user interface
fic	Focused information criteria: main user interface
fic.coxph	Focused information criteria for Cox proportional hazard regression models
fic.default	Focused information criteria: main user interface
fic.flexsurvreg	Focused information criteria for flexible parametric survival models
fic.glm	Focused information criteria for generalized linear models
fic.lm	Focused information criteria for linear models
fic.msm	Focused information criteria for multi-state models for panel data
fic.survreg	Focused information criteria for parametric survival models
fic_core	Focused information criteria: core calculation functions
fic_multi	Focused information criteria: core calculation functions
fit_submodels	Fit submodels of a general linear wide model, defined by a matrix of indicators for inclusion of covariates
focus_fns	Built-in focus functions and their derivatives
get_H0	Interpolate cumulative hazard function from a fitted Cox model
ggplot_fic	Plot focused model comparison statistics: ggplot2 method
mean_normal	Built-in focus functions and their derivatives
mean_normal_deriv	Built-in focus functions and their derivatives
melanoma	Malignant melanoma survival data
newdata_to_X	Convert data frame of covariate values to a design matrix
plot.fic	Plot focused model comparison statistics: base graphics method
prob_logistic	Built-in focus functions and their derivatives
prob_logistic_deriv	Built-in focus functions and their derivatives
summary.fic	Summarise focused model comparison results