View source: R/641.PosteriorProbs.R
probPOS | R Documentation |
Bayesian posterior Probabilities
probPOS(n, a, b, th)
n |
- Number of trials |
a |
- Prior Parameters |
b |
- Prior Parameters |
th |
- Theta value seeking Pr(Theta/X < th) |
Computes probability of the event p < p0 (p0 is specified in [0, 1]) based
on posterior distribution of Beta-Binomial model with given parameters for prior Beta
distribution for all x = 0, 1, 2......n where n
is the number of trials
A dataframe with
x |
Number of successes |
PosProb |
Posterior probability |
[1] 2002 Gelman A, Carlin JB, Stern HS and Dunson DB Bayesian Data Analysis, Chapman & Hall/CRC [2] 2006 Ghosh M, Delampady M and Samanta T. An introduction to Bayesian analysis: Theory and Methods. Springer, New York
Other Miscellaneous functions for Bayesian method:
empericalBAx()
,
empericalBA()
,
probPOSx()
,
probPREx()
,
probPRE()
n=5; a=0.5; b=0.5; th=0.5; probPOS(n,a,b,th)
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