Package: joint.Cox
Type: Package
Title: Penalized Likelihood Estimation and Dynamic Prediction under the
        Joint Frailty-Copula Models Between Tumour Progression and
        Death for Meta-Analysis
Version: 2.14
Date: 2017-11-23
Author: Takeshi Emura
Maintainer: Takeshi Emura <takeshiemura@gmail.com>
Description: Perform the Cox regression and dynamic prediction methods under
 the joint frailty-copula model between tumour progression and death for meta-analysis.
 A penalized likelihood is employed for estimating model parameters, where the baseline hazard functions are approximated by smoothing splines.
 The methods are applicable for meta-analytic data combining several studies.
 The methods can analyze data having information on both terminal event time (e.g., time-to-death) and non-terminal event time (e.g., time-to-tumour progression).
 See Emura et al. (2015) <doi:10.1177/0962280215604510> and
 Emura et al. (2017) <doi:10.1177/0962280216688032> for details.
 Survival data from ovarian cancer patients are also available.
License: GPL-2
Depends: survival
NeedsCompilation: no
Packaged: 2017-11-23 10:44:20 UTC; user
Repository: CRAN
Date/Publication: 2017-11-23 14:23:26 UTC
Built: R 3.3.2; ; 2017-11-24 15:48:16 UTC; unix
