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serieslcb (version 0.1.0)

Lower Confidence Bounds for Binomial Series System

Description

Calculate lower confidence bounds for binomial series system reliability. The R 'shiny' application, launched by 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

0.1.0

License

GPL-3

Maintainer

Edward Schuberg

Last Published

July 1st, 2018

Functions in serieslcb (0.1.0)

normal_approximation

Normal approximation method
rice_moore

Rice and Moore's method
nishime

Nishime's method
coit

Coit's method
chao_huwang

Chao-Huwang method
madansky

Madansky's method
launch_app

Launch Shiny App
easterling

Easterling's method
lindstrom_madden_AC

Lindstrom and Madden's method with Agresti-Coull
lindstrom_madden

Lindstrom and Madden's method
bayes

Bayes' method
bayes_uniform

Bayes' method (Uniform prior)
mr.fun

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

Mann and Grubb's method
myhre_rennie1

Myhre and Rennie method 1
madansky.fun

Lagrange multiplier in Madansky's method
bayes_jeffreys

Bayes' method (Jeffrey's prior)
mann_grubbs_sum

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

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

Matrix of p-vector combinations
myhre_rennie2

Myhre and Rennie method 2