NEWS

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plpoisson 0.3.1 (2024-09-30)

BUG FIXES

• Edited 'src/plpbootstrap.c' to use 'R_Calloc' and 'R_Free'.
• Edited the file 'NEWS' according to GNU standards.

plpoisson 0.3.0 (2022-05-09)

NEW FEATURES

• Included 'src/plpbootstrap.c' to estimate hyperparameters.
• Included 'R/hyperbootstrap.R' to bootstrap hyperparameters.

BUG FIXES

• Edited the file 'NAMESPACE' to include the function 'na.omit()' from the 'stats' package.

DOCUMENTATION

• Edited the 'DESCRIPTION' file to include a new reference.

plpoisson 0.2.0 (2021-02-14)

BUG FIXES

• The methodological description and references in the manual files for the R functions 'poisBayes', 'poisUNIF' and 'poisJEFF' was adjusted.
• The lower bounds provided by the R functions in the files 'poisBayes.R', 'poisUNIF.R' and 'poisJEFF.R' have been fixed.
• The upper bounds provided by the R functions in the files 'poisBayes.R', 'poisUNIF.R' and 'poisJEFF.R' have been fixed.

plpoisson 0.1.1 (2020-06-04)

BUG FIXES

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

plpoisson 0.1.0

BUG FIXES

• The C function 'plBinom' has been fixed by implementing a binary search algorithm for lower and upper frequentist limits.
• The R functions poisUNIF(), poisJEFF() and poisBayes() are now returning prediction limits based on the negative binomial quantile function.
• Useless lines of code on all R functions has been removed.
• The argument 'epsilon = NULL' has been dropped from all implemented functions.

plpoisson 0.0.1

NEW FEATURES

• The function poiss() is implemented for providing prediction limits for the Poisson distribution from a frequentist viewpoint.
• The function poisUNIF() is implemented for providing prediction limits for the Poisson distribution from a Bayesian viewpoint by using a Uniform prior.
• The function poisJEFF() is implemented for providing prediction limits for the Poisson distribution from a Bayesian viewpoint by using Jeffreys prior.
• The function poisBayes() is implemented for providing prediction limits for the Poisson distribution from a Bayesian viewpoint by using Jeffreys prior.