Changes in version 0.3.1 (2024-09-30)                  

BUG FIXES

    o   Edited `src/plpbootstrap.c` to use `R_Calloc` and `R_Free`.

    o   Edited the file `NEWS` according to GNU standards.

                 Changes in version 0.3.0 (2022-05-09)                  

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.

DOCUMENTATION

    o   Edited the `DESCRIPTION` file to include a new reference.   

                 Changes in version 0.2.0 (2021-02-14)                  

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 version 0.1.1 (2020-06-04)                  

BUG FIXES

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

                        Changes in version 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 version 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.