plpoisson News

CHANGES IN plpoisson 0.3.0

  NEW FEATURES:
  
    o Included `src/plpbootstrap.c` to estimate hyperparameters.

    o Included `R/hyperbootstrap.R` to bootstrap hyperparameters.

  BUG FIXES:
  
    o Edited the file `NAMESPACE` to include the function `na.omit()`
      from the `stats` package.

    o Included a new reference in `man/plpoisson-package.Rd` and edit
      the logo HTML5 attribute from `align="right"` 
      to `sytle="float: right;"`.

    o Edited the `DESCRIPTION` file to include a new reference.
    
    o Included a new reference in `README.md` and edited the logo 
      HTML5 attribute from `align="right"` 
      to `sytle="float: right;"`.

CHANGES IN plpoisson 0.2.0

  BUG FIXES:
    o The methodological description and references in the manual
      files for the R functions `poisBayes`, `poisUNIF` and
      `poisJEFF` was adjusted.

    o The lower bounds provided by the R functions in the files
      `poisBayes.R`, `poisUNIF.R` and `poisJEFF.R` have been fixed.

    o The upper bounds provided by the R functions in the files
      `poisBayes.R`, `poisUNIF.R` and `poisJEFF.R` have been fixed.

CHANGES IN plpoisson 0.1.1

  BUG FIXES:
    o Fixed capitalized letter/typos in the description field of the 
      DESCRIPTION file.

CHANGES IN plpoisson 0.1.0

  BUG FIXES:
    o The C function `plBinom` has been fixed by implementing a
      binary search algorithm for lower and upper frequentist limits.

    o The R functions poisUNIF(), poisJEFF() and poisBayes() are now
      returning prediction limits based on the negative binomial
      quantile function.

    o Useless lines of code on all R functions has been removed.

    o The argument `epsilon = NULL` has been dropped from all
      implemented functions.

CHANGES IN plpoisson 0.0.1

  NEW FEATURES:
    o The function poiss() is implemented for providing prediction
      limits for the Poisson distribution from a frequentist
      viewpoint.

    o The function poisUNIF() is implemented for providing prediction
      limits for the Poisson distribution from a Bayesian viewpoint
      by using a Uniform prior.

    o The function poisJEFF() is implemented for providing prediction
      limits for  the Poisson distribution from a Bayesian viewpoint
      by using Jeffreys prior.

    o The function poisBayes() is implemented for providing prediction
      limits for  the Poisson distribution from a Bayesian viewpoint
      by using Jeffreys prior.