Imports: stats, pbapply, survival, stringr

Imports: base, stats, pbapply, survival, stringr

Title: Fitting Frailty Models with the EM Algorithm
Author: Theodor Adrian Balan, Hein Putter
Description: Contains functions for fitting shared frailty models with a semi-parametric
baseline hazard with the Expectation-Maximization algorithm. Supported data formats
include clustered failures with left truncation and recurrent events in gap-time
or Andersen-Gill format. Several frailty distributions, such as the the gamma, positive stable
and the Power Variance Family are supported.
Imports: Rcpp (>= 0.12.8), magrittr, msm, optimx
Suggests: ggplot2, dplyr, tidyr, statmod, plotly, frailtySurv, parfm
Collate: 'RcppExports.R' 'ca_test.R' 'em_fit.R' 'emfrail_aux.R'

Imports: Rcpp (>= 0.12.8), magrittr, msm, ggplot2, expint
Suggests: dplyr, statmod, plotly, gridExtra

Collate: 'RcppExports.R' 'autoplot.emfrail.R' 'ca_test.R' 'em_fit.R'

Imports: Rcpp (>= 0.12.8), magrittr, msm, ggplot2, expint, tibble

Imports: Rcpp (>= 0.12.8), magrittr, msm, ggplot2, expint, tibble,

Suggests: dplyr, statmod, plotly, gridExtra, egg

Maintainer: Theodor Adrian Balan <hello@tbalan.com>

Author: Il Do HA, Maengseok Noh, Youngjo Lee
Description: The frailtyHL package implements the h-likelihood
estimation procedures for frailty models. The package fits
Cox's proportional hazards models with random effects (or
frailties). For the frailty distribution lognormal and gamma
are allowed. The h-likelihood uses the Laplace approximation
when the numerical integration is intractable, giving a
statistically efficient estimation in frailty models.
Packaged: 2011-02-06 07:59:03 UTC; Administrator

Depends: R (>= 2.10.0), Matrix,numDeriv,survival
Packaged: 2012-05-11 07:37:11 UTC; Administrator

Title: Frailty Models via Hierarchical Likelihood
Author: Il Do Ha, Maengseok Noh, Jiwoong Kim, Youngjo Lee
Description: Implements the hierarchical likelihood estimation procedures for general frailty models including competing-risk models and joint models.
Depends: R (>= 3.2.0), methods, Matrix, numDeriv, survival, cmprsk