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serieslcb (version 0.4.0)

Lower Confidence Bounds for Binomial Series System

Description

Calculate and compare lower confidence bounds for binomial series system reliability. The R 'shiny' application, launched by the function launch_app(), weaves together a workflow of customized simulations and delta coverage calculations to output recommended lower confidence bound methods.

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Version

Install

install.packages('serieslcb')

Monthly Downloads

131

Version

0.4.0

License

GPL-3

Maintainer

Edward Schuberg

Last Published

July 9th, 2019

Functions in serieslcb (0.4.0)

bayes_uniform

Bayesian method (Uniform prior)
bayes_nlg

Bayesian method (Negative Log Gamma Prior)
bayes

Bayesian method
normal_approximation

Normal approximation method
nishime

Nishime's method
pm

Matrix of p-vector combinations
nlg.post.sample

Sampling from Posterior of Negative Log Gamma prior and Binomial data.
bayes_jeffreys

Bayesian method (Jeffrey's prior)
easterling

Easterling's method
mann_grubbs_sum

Function to calculate the restricted sum in the Mann-Grubbs method.
launch_app

Launch Shiny App
pm.random

Matrix of p-vector combinations sampled randomly.
rice_moore

Rice and Moore's method
mr.fun

Function of \(\beta\) in the Myhre-Rennie 2 method
mann_grubbs

Mann and Grubb's method
mann_grubbs_calc

Function to calculate the LCB in the Mann-Grubbs method.
myhre_rennie1

Myhre and Rennie (modified ML) method
myhre_rennie2

Myhre and Rennie (reliability invariant) method
madansky.fun

Lagrange multiplier in Madansky's method
rmse.LCB

Root Mean Square Error
madansky

Madansky's method
lindstrom_madden_AC

Lindstrom and Madden's method with Agresti-Coull
lindstrom_madden

Lindstrom and Madden's method
chao_huwang

Chao-Huwang method
coit

Coit's method