NEWS.md

In egeminiani/GJRM: Generalised Joint Regression Modelling

GJRM

GJRM 0.2-2

• Copula models with ordinal and continuous responses implemented
• Univariate survival models with mixed censoring implemented

GJRM 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.

GJRM 0.2

• Copula survival models
• Copula models with binary and discrete margins

GJRM 0.1-5

• Various bugs fixed and more models introduced

GJRM 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

GJRM 0.1-3

• summary function for bivariate binary models fixed
• jc.probs() extended to include calculation of tau and intervals
• vis.gjrm function extended

GJRM 0.1-2

• All fitting functions merged and included in gjrm()
• Manual updated.

GJRM 0.1-1

• Initial release of GJRM which is the continuation of SemiParBIVProbit.

egeminiani/GJRM documentation built on Sept. 1, 2020, 6:41 p.m.