Lower Confidence Bounds for Binomial Series System
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Documentation for package ‘serieslcb’ version 0.4.0
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| bayes | Bayesian method |
| bayes_jeffreys | Bayesian method (Jeffrey's prior) |
| bayes_nlg | Bayesian method (Negative Log Gamma Prior) |
| bayes_uniform | Bayesian method (Uniform prior) |
| chao_huwang | Chao-Huwang method |
| coit | Coit's method |
| easterling | Easterling's method |
| launch_app | Launch Shiny App |
| lindstrom_madden | Lindstrom and Madden's method |
| lindstrom_madden_AC | Lindstrom and Madden's method with Agresti-Coull |
| madansky | Madansky's method |
| madansky.fun | Lagrange multiplier in Madansky's method |
| mann_grubbs | Mann and Grubb's method |
| mann_grubbs_calc | Function to calculate the LCB in the Mann-Grubbs method. |
| mann_grubbs_sum | Function to calculate the restricted sum in the Mann-Grubbs method. |
| mr.fun | Function of beta in the Myhre-Rennie 2 method |
| myhre_rennie1 | Myhre and Rennie (modified ML) method |
| myhre_rennie2 | Myhre and Rennie (reliability invariant) method |
| nishime | Nishime's method |
| nlg.post.sample | Sampling from Posterior of Negative Log Gamma prior and Binomial data. |
| normal_approximation | Normal approximation method |
| pm | Matrix of _p_-vector combinations |
| pm.random | Matrix of _p_-vector combinations sampled randomly. |
| rice_moore | Rice and Moore's method |
| rmse.LCB | Root Mean Square Error |