NEWS

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surrosurv 1.1.23

• new function simData.gh() to generate data from Gumbel-Hougaard copula

surrosurv 1.1.15 (2017-05-03)

• fixed minor issue in prediction function for adjusted copula models

surrosurv 1.1.14

• fixed issue in prediction intervals for mixed Poisson models

surrosurv 1.1.13

• fixed issue in prediction intervals for adjusted copula models

surrosurv 1.1.12

• loocv() now also returns the values of kTau and R2 estimated in each (N-1) fold

surrosurv 1.1.10 (2017-02-27)

• fixed issues with loocv when few trials (added controls)
• added data 'gastadj'
• added twoStage parameter to surrosurv for Shih and Louis (1995) approach to copula estimation

surrosurv 1.1.4

• added paper manuscript as vignette('surrosurv')

surrosurv 1.1

• Poisson models can be fitted each separately

surrosurv 0.1.1

• fixed examples for poissonize()

surrosurv 0.1.0

• new function loocv() (with print() and plot() functions) to compute leave-one-out cross-validation

surrosurv 0.0.15

• new function ste() to compute the surrogate threshold effect
• plot.sussosurv() can now show prediction intervals and the STE

surrosurv 0.0.11

• predict and plot for class sussosurv

surrosurv 0.0.10

• kkt2 convergence criteria corrected from positive determinant to positive min eigenvalue

surrosurv 0.0.9

• bugfix in Poisson method, which did not return results because of mispelled model name

surrosurv 0.0.7

• the Kendall's tau for copulas is now initialized using the SurvCorr package (much faster)

surrosurv 0.0.6

• 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
• the function convergence() uses explicit computation provided by covals(), instead of using the function optimx in the package optimx