ModalCens 0.3.0

Added the Log-t ("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.
New argument 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.
A warning is issued when the Log-t dispersion estimate lies at the boundary of the region that guarantees an interior mode.

ModalCens 0.2.0

Added the Log-Logistic ("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.
Added a caveat in the documentation regarding the strong parametric restriction of the Inverse Gaussian distribution.
Added the Log-Normal ("lognormal") distribution family, with mode reparameterization, right-censoring support, and randomized quantile residuals.