probPOSx: Bayesian posterior Probabilities

Description Usage Arguments Details Value References See Also Examples

View source: R/642.PosteriorProbs_x.R

Description

Bayesian posterior Probabilities

Usage

1
probPOSx(x, n, a, b, th)

Arguments

x

- Number of successes

n

- Number of trials

a

- Prior Parameters

b

- Prior Parameters

th

- Theta value seeking Pr(Theta/X < th)

Details

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

Value

A dataframe with

x

Number of successes

PosProb

Posterior probability

References

[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

See Also

Other Miscellaneous functions for Bayesian method: empericalBAx, empericalBA, probPOS, probPREx, probPRE

Examples

1
2
x=5; n=5;  a=0.5; b=0.5; th=0.5;
probPOSx(x,n,a,b,th)

RajeswaranV/proportion documentation built on May 9, 2017, 11:07 p.m.