Package: bssn 1.0

Rocio Paola Maehara

bssn: Birnbaum-Saunders Model

It provides the density, distribution function, quantile function, random number generator, reliability function, failure rate, likelihood function, moments and EM algorithm for Maximum Likelihood estimators, also empirical quantile and generated envelope for a given sample, all this for the three parameter Birnbaum-Saunders model based on Skew-Normal Distribution. Also, it provides the random number generator for the mixture of Birnbaum-Saunders model based on Skew-Normal distribution. Additionally, we incorporate the EM algorithm based on the assumption that the error term follows a finite mixture of Sinh-normal distributions.

Authors:Luis Benites Sanchez[cre, aut] <[email protected]>, Rocio Paola Maehara[cre, aut] <[email protected]> and Paulo Jos<c3><a9> Alejandro Aybar Flores[ctb] <[email protected]>

bssn_1.0.tar.gz
bssn_1.0.tar.gz(r-4.5-noble)bssn_1.0.tar.gz(r-4.4-noble)
bssn_1.0.tgz(r-4.4-emscripten)bssn_1.0.tgz(r-4.3-emscripten)
bssn.pdf |bssn.html✨
bssn/json (API)

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8 exports 0.00 score 44 dependencies 5 scripts 242 downloads

Last updated 5 years agofrom:5b3d6afa49. Checks:OK: 1 NOTE: 1. Indexed: yes.

Exports:EMbssnFbssnkurtbssnmeanbssnmmmethRebssnskewbssnvarbssn

Dependencies:cliClusterRcolorspaceevdfansifarverggplot2gluegmpgtableisobandlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmgcvmnormtmomentsmunsellmvtnormnlmenumDerivpillarpkgconfigquantregR6RColorBrewerRcppRcppArmadillorlangscalessnSparseMssmnsurvivaltibbletruncdistutf8vctrsviridisLitewithr