0.9.17.1

This release adds support for Firth's penalized likelihood technique of bias reduction. See also brglm by Ioannis Kosmidis and brglm2 by Ioannis Kosmidis and Euloge Clovis Kenne Pagui.

0.9.16

This release allows fitting models with redundant predictors. Like in glm()-fits, their coefficients will be NA.

0.9.15

This is the version now on CRAN.

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

Fixed bug in blockMatrix() and made it check for argument validity.

0.9.4.1

Hotfix of prediction method

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.

0.9

• Added support for non-nested random effects.

0.8.7.6

• Fixed serious bug in the handling of multilevel random effects models.
• Detect some misspecified models with too many groups.