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. 


