calcpp: calcpp
In jennasimit/MTFM: Multinomial fine-mapping
Description
Usage
Arguments
Value
Author(s)
Description
Internal function to combine vector or matrix prior with vector of log ABF to get pp per model
Usage
1
Arguments
pr
vector or matrix of priors
lBF
vector of log ABF
norm
if TRUE (default) normalise so sum(pp) (or rowSum(pp)
if matrix) is 1. otherwise just return pr * exp(lBF)
Value
vector or matrix of pp
Author(s)
Chris Wallace
jennasimit/MTFM documentation built on Aug. 15, 2019, 6:14 p.m.
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Description Usage Arguments Value Author(s)
Description
Internal function to combine vector or matrix prior with vector of log ABF to get pp per model
Usage
1 |
Arguments
pr |
vector or matrix of priors |
lBF |
vector of log ABF |
norm |
if TRUE (default) normalise so sum(pp) (or rowSum(pp) if matrix) is 1. otherwise just return pr * exp(lBF) |
Value
vector or matrix of pp
Author(s)
Chris Wallace
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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