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 |