Changes in version 0.2-3 (2021-02-14)                  

  - Fix an issue causing vignette compiling to fail due to an update to
    the LaTeX package hyperref. Reported by: Brian Ripley.

                 Changes in version 0.2-2 (2016-05-19)                  

  - NegBin() and ZINB() incorrectly specified the gamma part of the
    distribution. The shape argument to rgamma() should have been
    1/alpha where alpha was used previously.
    
    Also clarified the paramterization of the negative binomial used by
    NegBin() and ZINB as the NB2 version.

  - NegBin() and ZINB() allow for vector alpha inputs. #25

                 Changes in version 0.2-1 (2016-02-28)                  

  - Minor package update to fix issues under R CMD check in the
    development version of R.

                 Changes in version 0.2-0 (2015-05-27)                  

  - Jari Oksanen is now listed as a contributor to the package having
    added several new stochastic distributions.

  - The object returned by coenocline() now has S3 class "coenocline"
    and inherits from the "matrix" class.

  - A print() method has been added for coenocline() which displays some
    summary information and the first n lines of the simulated counts.
    The print() method uses a new internal function modelled on the way
    dplyr prints data frames.

  - A stack() method for coenocline() was added. This makes it much
    easier to reshape the simulated count data into a format suitable
    for use with ggplot or lattice graphics, or R's modelling functions.

  - An enhanced plot() method for coenocline() objects is provided,
    which can draw 1-d plots of single gradient simulations.

  - A persp() method is now provided which can produced 3-d perspective
    plots od simulations with 2 gradients.

  - Two new stochastic distributions were added by Jari Oksanen
    
      - Zero-inflated Binomial
      - Zero-inflated Beta-binomial

  - A new extractor function is provided, locations(), which extracts
    the gradient locations at which counts were simulated.

Bug fixes

  - Jari Oksanen noticed an annoying but important bug in the 2D Beta
    response function; the gamma parameter for the second gradient was
    being ignored, and the value of gamma for the first gradient was
    used instead.

                 Changes in version 0.1-0 (2014-08-01)                  

  - An R package for coenocline simulation; generating simulated species
    abundance or occurence data along one or two gradients

  - First public release of coenocliner on CRAN

  - Species response can be parameterised using either the classic
    Gaussian response model or the generalise beta response model

  - Random count or occurence data can be simulated from species
    responses using random draws from a Poisson, Negative Binomial,
    Binomial, Beta-binomial, ZIP, ZINB, or Bernoulli distribution with
    the parameterised response curve taken as the mean or expectation of
    the distribution to draw from

  - The main user-facing function is coenocline(). See ?coenocliner and
    ?coenocline for further details and examples of usage

  - A basic overview and introductory tutorial for coenocliner is
    available. Run browseVignettes("coenocliner") in R to access the
    PDF, R code and sources.