Canada Workshop 2017

New features

• Added new functions dynSurv() and dynLong(), which generates survival probabilities and xpected longitudinal predictions, respectively, for a new subject conditional on their last measurement time and longitudial history. Prediction can be implemented using either a first order approximation or a Monte Carlo simulation approach.

• Added an associated print() method for dynSurv and dynLong objects.

• Added an associated plot() method for dynSurv and dynLong objects.

• Added a function baseHaz() for extracting the centered and uncetered estimates of the baseline hazard function.

• print() and summary() now report the total computation time in addition to just the EM algorithm time. This was deemed useful after some examples showed that the time to get initial values was more expensive than the time for the MCEM algorithm to converge.

Bug patches

• Fixed a bug that prevented models being fitted with no covariates in the survival sub-model, i.e. Surv() ~ 1.

• Correction to the vignette description of mjoint() arguments.

• Removed enumintem package for Sweave vignette to satisfy CRAN checks on macOS (release).

Housekeeping

• Updated Makevars and Markvars.win to allow for OpenMP, which can be used by RcppArmadillo.

• Minor tidy-up of in-code comments.

• Minor updates and corrections to documentation.

• Added unit tests for new features.