Releases: melff/mclogit
Releases · melff/mclogit
0.9.7
2023-01-08:
- Bugfix in 'predict.mmblogit' that caused an error if 'conditional=FALSE'
was set.
2023-01-06:
- More compact output of mblogit models random effects and diagonal covariance
matrix.
2023-01-05:
- Added support for alternative optimizers to be used in the inner iterations
of MQL/PQL
0.9.6
2022-10-23:
- Refactored MQL/PQL algorithm: Eliminated redundant code and adapted it to
both 'nlm' and 'nlminb'
2022-10-16:
- Fixed bug in MQL/PQL-objective function that led to false non-convergence and
bias in variance parameter estimates
2022-10-12:
- Support for starting values in random effects models
- Support for restriction on random effects variances in multinomial baseline
logit models
2022-10-09:
- Improve handling of boundary values and singular information matrices
2022-10-07:
- Remove spurious messages about missing starting values
2022-05-21:
- Add checks of 'control=' argument of 'mclogit()' and 'mblogit()'.
0.9.4.2
0.9.4.1
0.9.4
2022-04-10:
- Fix handling of singular initial covariance matrices in PQLMQL_innerFit
- Issue a warning if models with random effects are compared using anova
- Fix predict methods for mmclogit models
- Handle DOIs in documentation as required by new guidelines
2022-01-16:
- Fix prediction with complicated terms in the model
- Add some more demos
2021-08-13:
- predict.mmclogit: create W-Matrix only when really needed
2021-07-13:
- Include variance parameters in the computation of degrees of freedom
2021-06-03:
- Be less zealous about group-level covariates constant in some choice sets.
2021-05-30:
- Added support for vertical-bar syntax for responses of conditional
logit models.