v0.1-0 the first coenocliner release to CRAN

coenocliner 0.1-0

• 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.