Changes in Version 2.6 Mar 2014
o NEW: Fit now a multivariate gaussian frailty model (two types of recurrent events and a terminal event).
o Major evolution of frailtyPenal function. 'Frailty' and 'joint' arguments removed.
o Now estimation of baseline hazard functions with splines, knots are placed using percentile (previously using equidistant intervals).
o Significant change of prediction function. You can compute predictions in two different ways: with a variable prediction time or a variable window of prediction.
o 'type' argument of prediction function removed. As long as there is a 'group' argument, for a shared model, computation of conditional predictions will be done.
o 'B' argument added in 2.4.1 to initialize regression coefficients was renamed 'init.B'
o Possibility to initialize the variance of the frailties with argument 'init.Theta' in shared and joint frailty models.
o Possibility to initialize the coefficient with argument 'init.Alpha' in joint frailty model.
o Moreover, with 'Alpha="none"', frailtyPenal can fit a joint model with a fixed alpha (=1).
o New argument: 'print.times', added in every model to print iteration process.
Changes in Version 2.5.1 Feb 2014
o Bug fixed about joint frailty model without any covariate.
Changes in Version 2.5 Nov 2013
o New dynamic tool of prediction added for Cox proportionnal hazard, shared and joint frailty model.
o Add IPCW estimation of concordance measures as Uno (Stat Med 2011). Significant changes in the printing of 'Cmeasures' function.
o Bug fixed about parametrical survival functions plotting with left truncated data.
o Bug fixed which allowed cross validation with interval-censored data.
o Possibility to print and change the three convergence criterions in frailtyPenal and additivePenal.
Changes in Version 2.4.1 Apr 2013
o Bug fixed about estimation of frailties in shared models using recurrentAG=TRUE.
o Printing bug about standard deviation of the random effet variance in a model without covariate.
o Possibility to initialize regression coefficients in shared and joint frailty models.
Changes in Version 2.4 Apr 2013
o Fit now a model with time-varying effects for covariates (only for Cox, shared gamma and a joint gamma frailty model).
Changes in Version 2.3 Feb 2013
o Fit now a Shared and a Joint Frailty model with a log-normal distribution for the random effects.
o "Breast cosmesis" dataset added for interval-censoring illustration ("Diabetes" dataset removed).
o Weibull hazard parameters bug fixed : shape and scale were reversed.
o Linear predictors : output reorganized.
o Plot options improved (now color is allowed).
o Use of 'SurvIC' function modified. Now for the left-truncated and interval-censored data we use : SurvIC(left-trunc-time,lower-time,upper-time,event).
o No need of the intcens argument to fit a model for interval-censored data anymore, 'SurvIC' function is enough.
Changes in Version 2.2-27 Nov 2012
o Fit now a Joint Frailty model for clustered data.
Changes in Version 2.2-26 Oct 2012
o Minor bug fixed about loglikelihood in Nested Frailty model.
o The package accepts samples unsorted on clusters.
Changes in Version 2.2-25 Sep 2012
o "Diabetes" dataset added for interval-censoring illustration.
Changes in Version 2.2-24 Jul 2012
o Fit a Shared Gamma Frailty or a Cox proportional hazard model for interval-censored data.
o No longer need to use cluster function for fitting a Cox proportional hazard model.
o Minor bug fixed in Nested Frailty model.
o Printing bug fixed in multivariate Wald test.
Changes in Version 2.2-22 Mar 2012
o Fit a Shared Gamma Frailty model using a parametric estimation.
o Fit Joint Frailty model for recurrent and terminal events using a parametric estimation.
o Fit a Nested Frailty model using a parametric estimation.
o Fit an Additive Frailty model using a parametric estimation.
o Concordance measures in shared frailty and Cox models (Cmeasures).
Changes in Version 2.2-10
o NEW VERSION OF FRAILTYPACK including Additive, Nested and Joint Frailty models
o Paper submitted to Journal of Stat Software