mcmc.pval: calculates p-value based on Bayesian z-score or MCMC sampling
In MCMC.OTU: Bayesian Analysis of Multivariate Counts Data in DNA Metabarcoding and Ecology
Description
Usage
Arguments
Value
Author(s)
Description
Accessory function to OTUsummary function
Usage
1
mcmc.pval(dat, testlim = 0, sided = 2, ptype="z")
Arguments
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
Value
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.
Author(s)
Mikhail Matz, UT Austin
<matz@utexas.edu>
MCMC.OTU documentation built on May 1, 2019, 10:55 p.m.
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Description Usage Arguments Value Author(s)
Description
Accessory function to OTUsummary function
Usage
1 | mcmc.pval(dat, testlim = 0, sided = 2, ptype="z")
|
Arguments
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 |
Value
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.
Author(s)
Mikhail Matz, UT Austin <matz@utexas.edu>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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