\code{exact.results} \tab Whether the optimal sample size \code{n} returned was obtained from exact calculations or simulation.\cr
\code{convexity.check.success.rate} \tab Our sample size calculations are based on a log-convexity assumption for p_nj(x.bar).\n  While we have never come across an example that violates this assumption, we prefer to check it (over a number of randomly selected points): the value returned by \code{convexity.check.success.rate} MUST be one, otherwise the log-convexity condition will be violated, in which case you would be issued a warning.\cr

This function returns a list consisting of the parameters listed below.
\tabular{rl}{
  \code{n} \tab Optimal sample size.\cr
  \code{n.visited} \tab The list of visited sample sizes along the march towards optimal sample size.\cr
  \code{outcome} \tab The (estimated) outcome obtained for each visited sample size.\cr
  (other) \tab Function arguments as given at the function call.
}
