The main purpose of this paper is to present the main algorithms underlining the con struction and implementation of the SMR package, whose aim to compute studentized normal midrange distribution. Details on the externally studentized normal midrange and standardized normal midrange distributions are also given. The package follows the same structure as the prob ability functions implemented in R. That is: the probability density function (dSMR), the cumulative distribution function (pSMR), the quantile function (qSMR) and the random number generating function (rSMR). The pseudocodes and illustrative examples of how to use the package are presented.
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For attribution, please cite this work as
Batista & Ferreira, "The R Journal: SMR: An R package for computing the externally studentized normal midrange distribution", The R Journal, 2015
BibTeX citation
@article{RJ-2014-029,
author = {Batista, Ben Dêivide Oliveira and Ferreira, Daniel Furtado},
title = {The R Journal: SMR: An R package for computing the externally studentized normal midrange distribution},
journal = {The R Journal},
year = {2015},
note = {https://doi.org/10.32614/RJ-2014-029},
doi = {10.32614/RJ-2014-029},
volume = {6},
issue = {2},
issn = {2073-4859},
pages = {123-136}
}