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@melff melff released this 22 May 21:33
0.8
35082fc
  • Support for the MQL technique of approxiate inference for random effects multinomial logit models is added.
  • The algorithm for the computation of random effects multinomial logit model estimates is more stable, because estimates from the model variant without random effects are not used as starting values. (It appears paradox, but starting values from the no-random effects model variant created numerical instabilities in some instances.)
  • The documentation now contains reference to the relevant literature, notably Agresti (2002), Breslow & Clayton (1993), and McFadden (1973).
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