Changes in version: JM_0.4-0

  o function survfitJM() has been added that calculates predictions of subject-specific probabilities of survival given a histrory of
longitudinal responses.

  o the multiple-imputation residuals now work also for joint models with piecewise constant baseline risk functions.

  o faster optimization algorithms have implemented for 'method = "weibull-PH-GH"' and 'method = "piecewise-PH-GH".


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Changes in version: JM_0.3-0

  o the Weibull model is now available under both the relative risk and accelerated failure time parameterizations.

  o a number of enhancements have been implemented in the functions that compute the MI-based residuals.

  o new more robust algorithms have been written for the numerical approximation of integrals; this will lead to some discrepancies in the results, especially in the survival part, compared to the previous versions of the package.


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Changes in version: JM_0.2-1

  o changes in e-mail addresses.


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Changes in version: JM_0.2-0

  o the jointModel method for the residuals generic has furhter options: (i) MI residuals for fixed and random visit times for
    the longitudinal process, and (ii) martingale, Cox-Snell, and AFT residuals for the survival process.

  o Function weibull.frailty() is introduced (along with supporting methods) for fitting multivariate survival data using the Weibull model with
    Gamma multiplicative frailties under maximum likelihood.

  o several typos have been corrected in .Rd files.


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Changes in version: JM_0.1-1

  o corrected some typos in .Rd files.