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)

# Install 'bssn' in R:
install.packages('bssn', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • enzyme - Enzymatic activity in the blood
  • ozone - Daily ozone level measurements

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 5 scripts 215 downloads 8 exports 44 dependencies

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

TargetResultDate
Doc / VignettesOKNov 17 2024
R-4.5-linuxNOTENov 17 2024

Exports:EMbssnFbssnkurtbssnmeanbssnmmmethRebssnskewbssnvarbssn

Dependencies:cliClusterRcolorspaceevdfansifarverggplot2gluegmpgtableisobandlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmgcvmnormtmomentsmunsellmvtnormnlmenumDerivpillarpkgconfigquantregR6RColorBrewerRcppRcppArmadillorlangscalessnSparseMssmnsurvivaltibbletruncdistutf8vctrsviridisLitewithr