

   LLooggsspplliinnee DDeennssiittyy EEssttiimmaattiioonn

        dlogspline(q, fit)
        plogspline(q, fit)
        qlogspline(p, fit)
        rlogspline(n, fit)

   AArrgguummeennttss::

          q: vector of quantiles. Missing values (NAs) are
             allowed.

          p: vector of probabilities. Missing values (NAs) are
             allowed.

          n: sample size. If `length(n)' is larger than 1, then
             `length(n)' random values are returned.

        fit: a list like the output from `logspline.fit'.

   VVaalluuee::

        densities (`dlogspline'), probabilities (`plogspline'),
        quantiles (`qlogspline'), or a random sample
        (`rlogspline') from a logspline density.

   DDEESSCCRRIIPPTTIIOONN::

        Density, cumulative probability, quantiles and random
        samples from a logspline density.

   SSiiddee EEffffeeccttss::

        The  function  `rlogspline' causes creation of the
        dataset `.Random.seed' if it does not already exist,
        otherwise its value is updated.

   DDEETTAAIILLSS::::

        Elements of `q' or `p' that are missing will cause the
        corresponding elements of the result to be missing.

   SSeeee AAllssoo::

        `logspline.fit', `logspline.plot', `logspline.summary'

