gibbs: Gibbs sampling algorithm
In csgillespie/HMMs: Hidden Markov models to analyse protein sequences
Description
Gibbs sampling algorithm
Usage
1
Arguments
y
An hmm_fasta object
iter
number of iterations
prior
"prior_parameters" class object
burnin
amount of burnin required
thin
amount of thinning wanted
checkpoint
"hmm_checkpoint" object if
checkpointing wanted or NULL if not wanted
csgillespie/HMMs documentation built on May 14, 2019, 12:11 p.m.
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Description
Gibbs sampling algorithm
Usage
1 |
Arguments
y |
An hmm_fasta object |
iter |
number of iterations |
prior |
"prior_parameters" class object |
burnin |
amount of burnin required |
thin |
amount of thinning wanted |
checkpoint |
"hmm_checkpoint" object if checkpointing wanted or NULL if not wanted |
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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