get_log10bf: Return the Bayes Factor for each effect
In Alice-MacQueen/snpdiver: Explore SNP Effects on Multiple Phenotypes in Diversity Panels
Description
Usage
Arguments
Value
View source: R/mash-evaluation.R
Description
Return the Bayes Factor for each effect
Usage
1
get_log10bf(m)
Arguments
m
the mash result (from joint or 1by1 analysis); must have been
computed using usepointmass = TRUE
Value
if m was fitted using usepointmass=TRUE then returns a vector of
the log10(bf) values for each effect. That is, the jth element
lbf_j is log10(Pr(Bj | g = ghat-nonnull)/Pr(Bj | g = 0)) where gha
t-nonnull is the non-null part of ghat. Otherwise returns NULL.
Alice-MacQueen/snpdiver documentation built on Dec. 17, 2021, 8:41 a.m.
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Description Usage Arguments Value
View source: R/mash-evaluation.R
Description
Return the Bayes Factor for each effect
Usage
1 | get_log10bf(m)
|
Arguments
m |
the mash result (from joint or 1by1 analysis); must have been computed using usepointmass = TRUE |
Value
if m was fitted using usepointmass=TRUE then returns a vector of the log10(bf) values for each effect. That is, the jth element lbf_j is log10(Pr(Bj | g = ghat-nonnull)/Pr(Bj | g = 0)) where gha t-nonnull is the non-null part of ghat. Otherwise returns NULL.
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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