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"logt") distribution family, in which
the logarithm of the response follows a Student-t distribution. The mode
is reparameterized in closed form, and the family supports
right-censoring and randomized quantile residuals. It reduces to the
Log-Normal family as the degrees of freedom grow.nu in modal_cens() for the
degrees of freedom of the Log-t family, treated as known (default
4). It is ignored by the other families.summary() reports the degrees of freedom when
family = "logt", and the fitted object stores them in the
new element nu."loglogistic") and
Birnbaum-Saunders ("bisa") distribution families, providing
highly flexible modeling options outside the exponential family
framework. Both support mode reparameterization, right-censoring, and
randomized quantile residuals."lognormal") distribution family,
with mode reparameterization, right-censoring support, and randomized
quantile residuals.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.