writeMultiplicityTable: Determine most probable multiplicity assignments by taking...
In KarchinLab/pictograph: Tools for modeling clonal evolution of a cancer
View source: R/MCMC-process-clusters.R
writeMultiplicityTable R Documentation
Determine most probable multiplicity assignments by taking those with highest posterior probability.
Description
Determine most probable multiplicity assignments by taking those with highest posterior probability.
Usage
writeMultiplicityTable(m_chain, Mut_ID = NULL)
Arguments
m_chain
MCMC chain of mutation cluster assignment values
Mut_ID
Vector of mutation IDs, same order as provided as input data (e.g. indata$Mut_ID)
Value
A tibble listing mutation IDs and their cluster assignments
KarchinLab/pictograph documentation built on Oct. 25, 2024, 10:10 a.m.
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View source: R/MCMC-process-clusters.R
| writeMultiplicityTable | R Documentation |
Determine most probable multiplicity assignments by taking those with highest posterior probability.
Description
Determine most probable multiplicity assignments by taking those with highest posterior probability.
Usage
writeMultiplicityTable(m_chain, Mut_ID = NULL)
Arguments
m_chain |
MCMC chain of mutation cluster assignment values |
Mut_ID |
Vector of mutation IDs, same order as provided as input data (e.g. indata$Mut_ID) |
Value
A tibble listing mutation IDs and their cluster assignments
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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