mcmc.pval: calculates p-value based on Bayesian z-score or MCMC sampling
In MCMC.qpcr: Bayesian Analysis of qRT-PCR Data

Description Usage Arguments Value Author(s)

Accessory function to HPD... function series

1	mcmc.pval(dat, testlim = 0, sided = 2, ptype="z")

`dat`	a table of MCMC samples
`testlim`	positive value to test whether the posterior crosses it (for variance components)
`sided`	sidedness of the test
`ptype`	'z' for z-score based p-values, 'mcmc' for standard sampling based p-values

A vector of calculated Bayesian p-values. For standard 'mcmc' p=values, the minimal possible value is 1/(MCMC sample size). z-score based p-values are useful to approximate very low p-values with limited MCMC sample sizes.

Mikhail Matz, UT Austin <matz@utexas.edu>

MCMC.qpcr documentation built on March 31, 2020, 5:22 p.m.