Changes in version 1.1.23 o new function simData.gh() to generate data from Gumbel-Hougaard copula Changes in version 1.1.15 (2017-05-03) o fixed minor issue in prediction function for adjusted copula models Changes in version 1.1.14 o fixed issue in prediction intervals for mixed Poisson models Changes in version 1.1.13 o fixed issue in prediction intervals for adjusted copula models Changes in version 1.1.12 o loocv() now also returns the values of kTau and R2 estimated in each (N-1) fold Changes in version 1.1.10 (2017-02-27) o fixed issues with loocv when few trials (added controls) o added data 'gastadj' o added twoStage parameter to surrosurv for Shih and Louis (1995) approach to copula estimation Changes in version 1.1.4 o added paper manuscript as vignette('surrosurv') Changes in version 1.1 o Poisson models can be fitted each separately Changes in version 0.1.1 o fixed examples for poissonize() Changes in version 0.1.0 o new function loocv() (with print() and plot() functions) to compute leave-one-out cross-validation Changes in version 0.0.15 o new function ste() to compute the surrogate threshold effect o plot.sussosurv() can now show prediction intervals and the STE Changes in version 0.0.11 o predict and plot for class sussosurv Changes in version 0.0.10 o kkt2 convergence criteria corrected from positive determinant to positive min eigenvalue Changes in version 0.0.9 o bugfix in Poisson method, which did not return results because of mispelled model name Changes in version 0.0.7 o the Kendall's tau for copulas is now initialized using the SurvCorr package (much faster) Changes in version 0.0.6 o added the function convals(), giving the values of the max abs gradient and the min eigenvalue of the variance-covariance matrix of the random treatment effects o the function convergence() uses explicit computation provided by covals(), instead of using the function optimx in the package optimx