Title: Joint Frailty-Copula Models for Tumour Progression and Death in
Description: Perform likelihood estimation and dynamic prediction under
joint frailty-copula models for tumour progression and death in meta-analysis.
See Emura et al. (2017) <doi:10.1177/0962280215604510> for likelihood estimation, and

Description: Fit survival data and perform dynamic prediction under joint frailty-copula models for tumour progression and death.
Likelihood-based methods are employed for estimating model parameters, where the baseline hazard functions are modeled by the cubic M-spline or the Weibull model.
The methods are applicable for meta-analytic data containing individual-patient information from several studies.
Survival outcomes need information on both terminal event time (e.g., time-to-death) and non-terminal event time (e.g., time-to-tumour progression).

A penalized likelihood method is employed for estimating model parameters, where the baseline hazard functions are modeled by smoothing splines.

More details on these methods can also be found in a book of Emura et al. (2019) <10.1007/978-981-13-3516-7>.

More details on these methods can also be found in a book of Emura et al. (2019) <doi:10.1007/978-981-13-3516-7>.

Title: Joint Approximate Diagonalization of a set of square matrices
Description: Different algorithms to perform approximate joint
diagonalization of a finite set of square matrices. Depending
on the algorithm, orthogonal or non-orthogonal diagonalizer is
found. These algorithms are particularly useful in the context
Packaged: 2009-04-27 20:54:26 UTC; gouypailler

Author: Cedric Gouy-Pailler <cedric.gouypailler@gmail.com> from
original code by Antoine Souloumiac (J_Di), Dinh-Tuan Pham
(jadiag and lscjadiag), Marco Congedo (lscjadiag), Petr
Tichavky (uwedge), Andreas Ziehe (ffdiag), Roland Vollgraf
diagonalization of a finite set of square matrices. The
algorithms have been provided by different authors (see list
above). Depending on the algorithm, orthogonal or
Packaged: Thu Mar 12 11:33:50 2009; gouypailler