Depends: R (>= 2.5.0), MASS, nlme, splines, survival
Packaged: Wed Jun 18 07:41:51 2008; Dimitris

Packaged: Sun Sep 14 19:52:30 2008; Dimitris

Packaged: Mon Dec 15 09:56:23 2008; Dimitris

Description: Shared parameter models for the joint modelling of
Depends: R (>= 2.7.0), MASS, nlme, splines, survival

Depends: R (>= 2.9.0), MASS, nlme, splines, survival

Packaged: 2010-07-23 12:05:31 UTC; D. Rizopoulos

Packaged: 2010-09-06 06:17:05 UTC; D. Rizopoulos

Depends: R (>= 2.10.0), MASS, nlme, splines, survival
Packaged: 2010-12-15 07:52:28 UTC; D. Rizopoulos

Packaged: 2011-01-27 07:41:48 UTC; D. Rizopoulos

Packaged: 2011-02-14 07:42:45 UTC; D. Rizopoulos

Depends: R (>= 2.11.0), MASS, nlme, splines, survival
Packaged: 2011-04-18 06:21:42 UTC; D. Rizopoulos

Packaged: 2011-07-01 05:42:21 UTC; D. Rizopoulos

Title: Joint Modeling of Longitudinal and Survival Data
Description: Shared parameter models for the joint modeling of
Packaged: 2011-09-26 06:45:45 UTC; D. Rizopoulos

Packaged: 2011-10-14 06:03:30 UTC; D. Rizopoulos

Description: Shared parameter models for the joint modeling of longitudinal and time-to-event data.
Packaged: 2011-11-28 07:33:30 UTC; D. Rizopoulos

Depends: R (>= 2.12.0), MASS, nlme, splines, survival

Depends: R (>= 2.14.0), MASS, nlme, splines, survival

Depends: R (>= 3.0.0), MASS, nlme, splines, survival
Packaged: 2014-05-01 07:42:33 UTC; drizopoulos

Packaged: 2015-06-23 07:41:39 UTC; drizopoulos

Packaged: 2015-11-09 14:30:22 UTC; drizopoulos

Packaged: 2016-03-25 07:27:20 UTC; drizopoulos

Author: Zeng Xianli <a0123862@u.nus.edu>, Hang Weiqiang <e0010758@u.nus.edu>
Description: Computes the Jackknife Mutual Information (JMI) between two random vectors and provides the p-value for dependence tests. See Zeng, X., Xia, Y. and Tong, H. (2018) <doi:10.1073/pnas.1715593115>.
Packaged: 2018-10-15 08:00:58 UTC; weiqianghang

Title: Joint Modeling of Longitudinal and Survival Data - Power
Author: Emil A. Cornea, Liddy M. Chen, Bahjat F. Qaqish, Haitao Chu,
Description: The package contains a R-function to perform power
calculation for joint modeling of longitudinal and survival
data, with k-th order trajectories, when the
variance-covariance matrix Sigma_theta is unknown.