version 0.2-6.5 - included areds dataset. - ordinal model summary fixed. - jc.probs now is copula.prob - hazsurv.plot now is hazsurv version 0.2-6.4 - speed of trivariate binary models improved. version 0.2-6.3 - better names used for arguments relating the copula functions. version 0.2-6.2 - ordinal model improved. version 0.2-6.1 - bug in summary function fixed. Thanks to Trevor Fitzpatrick. - models with ordinal margins implemented. version 0.2-6 - extended class of ROY models implemented and final checks completed. - sample selection model with Tweedie margin implemented. - copula survival models with general censoring scheme. version 0.2-5.1 - Extended class of ROY models implemented. version 0.2-5 - DGP0 distribution introduced. version 0.2-4 - excess survival models implemented. - Tweedie distribution allowed for. version 0.2-3 - function for fitting linear models with positivity and sum-to-one constraints; see lmc(). - generalized Pareto and discrete generalized Pareto distributions implemented. - robust gamlss implemented. version 0.2-2 - copula models with ordinal and continuous responses implemented. - univariate survival models with mixed censoring implemented. version 0.2-1 - survival models with informative censoring. - models now estimate sigma instead of sigma2. - calculation for LN distribution in pred.mvt() fixed. Thanks to Maike Hohberg. version 0.2 - copula survival models. - copula models with binary and discrete margins. version 0.1-5 - various bugs fixed and more models introduced. version 0.1-4 - sample selection models with all types of marginal distributions allowed for. - pred.mvt function to calculate covariate effects on the real scale. version 0.1-3 - summary function for bivariate binary models fixed. - jc.probs() extended to include calculation of tau and intervals. - vis.gjrm funcion extended. version 0.1-2 - all fitting functions merged and included in gjrm(). - manual updated. version 0.1-1 - initial release of GJRM which is the continuation of SemiParBIVProbit.