CRAN v0.3.0

New features

Probability distributions

• Added dist_categorical() for the Categorical distribution.
• Added dist_lognormal() for the log-normal distribution. Mathematical
  conversion shortcuts have also been added, so exp(dist_normal()) produces
  dist_lognormal().

Generics

• Added parameters() generic for obtaining the distribution's parameters.
• Added family(<distribution>) for getting the distribution's family name.
• Added covariance() to return the covariance of a distribution.
• Added support() to identify the distribution's region of support (#8).
• Added log_likelihood() for computing the log-likelihood of observing a
  sample from a distribution.

Improvements

• variance() now always returns a variance. It will not default to providing
  a covariance matrix for matrices. This also applies to multivariate
  distributions such as dist_multivariate_normal(). The covariance can now
  be obtained using the covariance() function.
• dist_wrap() can now search for distribution functions in any environment,
  not just packages. If the package argument is NULL, it will search the
  calling environment for the functions. You can also provide a package name as
  before, and additionally an arbitrary environment to this argument.
• median() methods will now ignore the na.rm option when it does not apply
  to that distribution type (#72).
• dist_sample() now allows for missing values to be stored. Note that
  density(), quantile() and cdf() will remove these missing values by
  default. This behaviour can be changed with the na.rm argument.
• <hilo> objects now support non-numeric and multivariate distributions.
  <hilo> vectors that have different bound types cannot be mixed (#74).
• Improved performance of default methods of mean() and variance(), which
  no longer use sampling based means and variances for univariate continuous
  distributions (#71, @mjskay)
• dist_binomial() distributions now return integers for quantile() and
  generate() methods.
• Added conditional examples for distributions using functions from supported
  packages.

Bug fixes

• Fixed fallback format() function for distributions classes that have not
  defined this method (#67).

Breaking changes

• variance() on a dist_multivariate_normal() will now return the diagonal
  instead of the complete variance-covariance matrix.
• dist_bernoulli() will now return logical values for quantile() and
  generate().