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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:5b3d6afa49. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 17 2024 |
R-4.5-linux | NOTE | Dec 17 2024 |
Exports:EMbssnFbssnkurtbssnmeanbssnmmmethRebssnskewbssnvarbssn
Dependencies:cliClusterRcolorspaceevdfansifarverggplot2gluegmpgtableisobandlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmgcvmnormtmomentsmunsellmvtnormnlmenumDerivpillarpkgconfigquantregR6RColorBrewerRcppRcppArmadillorlangscalessnSparseMssmnsurvivaltibbletruncdistutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Birnbaum-Saunders model | bssn-package |
Birnbaum-Saunders model based on Skew-Normal distribution | bssn dbssn mmmeth pbssn qbssn rbssn rmixbssn |
EM Algorithm Birnbaum-Saunders model based on Skew-Normal distribution | EMbssn |
Enzymatic activity in the blood | enzyme |
Linear regression models using finite mixture of Sinh-normal distribution | FMshnReg |
Moments for the Birnbaum-Saunders model based on Skew-Normal distribution | kurtbssn meanbssn momentsbssn skewbssn varbssn |
Daily ozone level measurements | ozone |
Reliability Function for the Birnbaum-Saunders model based on Skew-Normal distribution | Fbssn Rebssn reliabilitybssn |