R: Focused Information Criteria for Model Comparison

# Focused Information Criteria for Model Comparison

## Documentation for package ‘fic’ version 1.0.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## 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