convertToTurbo_F: Convert the parameter F so that turboEM can treat
In USCbiostats/HiLDA: Conducting statistical inference on comparing the mutational exposures of mutational signatures by using hierarchical latent Dirichlet allocation
Description
Usage
Arguments
Value
Description
Convert the parameter F so that turboEM can treat
Usage
1
convertToTurbo_F(vF, fdim, signatureNum, isBackground)
Arguments
vF
F (converted to a vector)
fdim
a vector specifying the number of possible values for each
mutation signature
signatureNum
the number of mutation signatures
isBackground
the logical value showing whether a background mutaiton
features is included or not
Value
a vector
USCbiostats/HiLDA documentation built on Oct. 15, 2021, 10:22 a.m.
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Description Usage Arguments Value
Description
Convert the parameter F so that turboEM can treat
Usage
1 | convertToTurbo_F(vF, fdim, signatureNum, isBackground)
|
Arguments
vF |
F (converted to a vector) |
fdim |
a vector specifying the number of possible values for each mutation signature |
signatureNum |
the number of mutation signatures |
isBackground |
the logical value showing whether a background mutaiton features is included or not |
Value
a vector
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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