gmvjoint version 0.4.0

• Fairly minor updates
• surv.formula now properly accepts factor variables. This shortcoming was brought to my attention by J. Piekos (Oxford); so thanks!
• residuals.joint functions have been amended to actually work for Cox-Snell (there was an issue with e.g. spline time specifications).
• plot.residuals.joint now produces a series of plots with meaningful legends.
• ROC and dynPreds have been updated to correctly work with splines, and have been altered slightly.
• joint now accepts the control argument inits which allows the user to overwrite initial conditions. The function boot.joint has been amended in line with this along with necessary documentation.
• Added CITATION file with link to CSDA paper.

gmvjoint version 0.3.0

• Fairly extensive re-writes to workhorse functions joint (and underlying EMUpdate); some computational efficiency has been gained here ‘within’ the EM algorithm.
• Removed CreateDataMatrices function, in favour of simply taking ones from fits used in initial conditions (via glmmTMB); this greatly reduces computation times, particularly for larger models.
• Added a bootstrapping function boot.joint: The approximate SEs created by the model are known to be underestimated, and so this bootstrapping function seeks to provide an alternative route; or means of comparison.
• Spruced-up plotting of conditional distributions of the random effects.
• Updates to S3 methods.

gmvjoint version 0.2.0

• Dynamic predictions added
• ROC/AUC function added
• Function to generate bootstrapped confidence intervals for AUC added.
• Various S3 methods for joint objects added.
• Relaxation of (quite stringent) model calls.
• Extraction of conditional distribution of random effects.

gmvjoint version 0.1.0

• First release