The R Journal: article published in 2017, volume 9:2

mle.tools: An R Package for Maximum Likelihood Bias Correction
Josmar Mazucheli, André Felipe B. Menezes and Saralees Nadarajah , The R Journal (2017) 9:2, pages 268-290.

Abstract Recently, Mazucheli (2017) uploaded the package mle.tools to CRAN. It can be used for bias corrections of maximum likelihood estimates through the methodology proposed by Cox and Snell (1968). The main function of the package, coxsnell.bc(), computes the bias corrected maximum likelihood estimates. Although in general, the bias corrected estimators may be expected to have better sampling properties than the uncorrected estimators, analytical expressions from the formula proposed by Cox and Snell (1968) are either tedious or impossible to obtain. The purpose of this paper is twofolded: to introduce the mle.tools package, especially the coxsnell.bc() function; secondly, to compare, for thirty one continuous distributions, the bias estimates from the coxsnell.bc() function and the bias estimates from analytical expressions available in the literature. We also compare, for five distributions, the observed and expected Fisher information. Our numerical experiments show that the functions are efficient to estimate the biases by the Cox-Snell formula and for calculating the observed and expected Fisher information.

Received: 2017-04-04; online 2017-11-01, supplementary material, (4.5 KiB)
CRAN packages: mle.tools, fitdistrplus
CRAN Task Views implied by cited CRAN packages: Distributions, Survival

This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license.

@article{RJ-2017-055,
  author = {Josmar Mazucheli and André Felipe B. Menezes and Saralees
          Nadarajah},
  title = {{mle.tools: An R Package for Maximum Likelihood Bias
          Correction}},
  year = {2017},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2017-055},
  url = {https://doi.org/10.32614/RJ-2017-055},
  pages = {268--290},
  volume = {9},
  number = {2}
}