Package: frailtyHL 2.3

frailtyHL: Frailty Models via Hierarchical Likelihood

Implements the h-likelihood estimation procedures for general frailty models including competing-risk models and joint models.

Authors:Il Do Ha, Maengseok Noh, Jiwoong Kim, Youngjo Lee

# Install 'frailtyHL' in R:

install.packages('frailtyHL', repos = c('https://msnoh1.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated 5 years agofrom:924c586ff3. Checks:OK: 7. Indexed: yes.

Help page	Topics
H-likelihood Approach for Frailty Models	frailtyHL-package
Bladder Cancer Data	bladder
Bladder cancer data	bladder0
Chronic Granulomatous Disease (CGD) Infection Data	cgd
Model Formula of Competing Risk	CmpRsk
Penalized Variable Selection for Frailty Models	frailty.vs
Fitting Frailty Models using H-likelihood Approach	frailtyHL
Competing Risk Frialty Models using H-Likelihood	hlike.frailty
Joint Modelling of Longitudinal and Time-to-Event Data	jmfit
Defining the Fixed and Random Models for the Mean and Dispersion Parameters in Joint Models	jointmodeling
Kidney Infection Data	kidney
Accelerated Failure Time (AFT) Models with Random Effects	mlmfit
Rats data	rats
Mammary tumor data	ren
Renal transplant data	renal
Simulated data with clustered competing risks	test