powerpost: The power posterior method
In csgillespie/HMMs: Hidden Markov models to analyse protein sequences
Description
Usage
Arguments
Value
View source: R/powerpost_real.R
Description
The power posterior method
Usage
1
Arguments
N
number of temperature parameters required minus
1
y
An hmm_fasta object
prior
"prior_parameters" class object
m
number of iterations per temperature parameter
burnin
amount of burn in required
checkpoint
"hmm_checkpoint" object or NULL if
checkpointing not required
Value
logpPP
marginal likelihood for r
csgillespie/HMMs documentation built on May 14, 2019, 12:11 p.m.
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Description Usage Arguments Value
View source: R/powerpost_real.R
Description
The power posterior method
Usage
1 |
Arguments
N |
number of temperature parameters required minus 1 |
y |
An hmm_fasta object |
prior |
"prior_parameters" class object |
m |
number of iterations per temperature parameter |
burnin |
amount of burn in required |
checkpoint |
"hmm_checkpoint" object or NULL if checkpointing not required |
Value
logpPP |
marginal likelihood for r |
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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