hildaGlobalResult: Compute the Bayes factor
In USCbiostats/HiLDA: Conducting statistical inference on comparing the mutational exposures of mutational signatures by using hierarchical latent Dirichlet allocation
Description
Usage
Arguments
Value
Examples
View source: R/hilda_diagnosis.R
Description
Compute the Bayes factor
Usage
1
hildaGlobalResult(jagsOutput, pM1 = 0.5)
Arguments
jagsOutput
the output jags file generated by the jags function from
the R2jags package.
pM1
the probability of sampling the null (default: 0.5)
Value
a number for the Bayes factor
Examples
1
2
3
4
load(system.file("extdata/sample.rdata", package="HiLDA"))
hildaGlobal <- hildaTest(inputG=G, numSig=3, refGroup=1:4, nIter=1000,
localTest=TRUE)
hildaGlobalResult(hildaGlobal)
USCbiostats/HiLDA documentation built on Oct. 15, 2021, 10:22 a.m.
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Description Usage Arguments Value Examples
View source: R/hilda_diagnosis.R
Description
Compute the Bayes factor
Usage
1 | hildaGlobalResult(jagsOutput, pM1 = 0.5)
|
Arguments
jagsOutput |
the output jags file generated by the jags function from the R2jags package. |
pM1 |
the probability of sampling the null (default: 0.5) |
Value
a number for the Bayes factor
Examples
1 2 3 4 | load(system.file("extdata/sample.rdata", package="HiLDA"))
hildaGlobal <- hildaTest(inputG=G, numSig=3, refGroup=1:4, nIter=1000,
localTest=TRUE)
hildaGlobalResult(hildaGlobal)
|
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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