distributions3 0.2.2

• New PoissonBinomial() distribution, a generalization of the binomial distribution. The Poisson
  binomial is characterized by n independent Bernoulli trials but with potentially different
  success probabilities. The d/p/q/r functions employ the efficient implementation from
  the PoissonBinomial package, if available.
  In case it is not available, fallback computation based on a normal approximation are provided
  • with a warning, by default (#100).
• The prodist() methods for various count regression objects now distinguish between computations
  for the classic pscl package and the newer
  countreg package (currently on R-Forge, soon
  to be released to CRAN).
• The simulate() method for distribution objects is now better aligned with simulate.lm()
  in base R: It now always returns a data.frame with seed attribute.
• New simulate() default method which leverages prodist() and subsequently uses the
  simulate() method for distribution objects.
• New prodist() methods for distribution objects which just returns the unmodified
  distribution object itself.
• The format() method - and hence the print() method - for distribution objects has been
  simplified. For example, now Normal(mu = 0, sigma = 1) is used instead of
  Normal distribution (mu = 0, sigma = 1) in order to yield a more compact output, especially
  for vectors of distributions (#101).
• Added an as.character() method which essentially calls format(..., digits = 15, drop0trailing = TRUE).
  This mimics the behavior and precision of base R for real vectors. Note that this enables
  using match() for distribution objects.
• Added a duplicated() method which relies on the corresponding method for the data.frame
  of parameters in a distribution.
• Enabled the inclusion of distribution vectors as columns in tibble data objects, see
  ?vec_proxy.distribution for further details and a practical example.
• Fixed errors in notation of cumulative distribution function in the documentation of
  HurdlePoisson() and HurdleNegativeBinomial() (by @dkwhu in #94 and #96).
• The prodist() method for glm objects can now also handle family specifications from
  MASS::negative.binomial(theta) with fixed theta (reported by Christian Kleiber).
• Replace ellipsis dependency by rlang as the former will be
  deprecated/archived
  (by @olivroy in #105).
• Further small improvements in methods and manual pages.