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Updated NEWS.Rd file.
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melff committed Jul 16, 2020
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\item There is now a \code{simulate()} method for objects returned
by \code{mblogit()} or \code{mclogit()} (but only for those
without random effects).
\item Predictions from random-effects models estimated using the
PQL technique now are now conditional on the random effects
(unless requested otherwise).
}
}
}
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\item The PQL estimator for random-effects model uses a (inverse)
Cholesky factor parametrisation, which makes sure that
random-effects (Co-)Variance matrices are always positive (semi-)definite.
random-effects (Co-)Variance matrices are always positive
(semi-)definite.
}
}
}
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