Performs Parallel Tempering MCMC to explore the species state space. Two types of moves are implemented: a mutation step (within chain) and an exchange step (between neighboring chains). If working with BLASTx data, use parallel.temper().
parallel.temper.nucl.explicit is the same function as parallel.temper.nucl with a more involved syntax.
list. The output from reduce.space(). Alternatively, it can be a character string containing the path name of the ".RData" file where step2 list was saved.
readSupport
The number of reads the user requires in order to believe in the presence of the species. It is used to compute the penalty factor. The default value is 30. We compute the logarithmic penalty value as the log-likelihood difference between two models: one where all N reads belong to the "unknown" category and one where r reads have a perfect match to some unspecified species and the remaining reads belong to the "unknown" category.
noChains
The number of parallel chains to run. The default value is 12.
seed
Optional argument that sets the random seed (default is 1) to make results reproducible.
median.genome.length
To use in the penalty computation.
pij.sparse.mat
sparse matrix of generative probabilities, see value of ?reduce.space.
read.weights
see ?reduce.space.
ordered.species
see ?reduce.space.
gen.prob.unknown
see ?reduce.space.
outDir
see ?reduce.space.
Value
step3: A list with two elements. The first one (result) is a list that records MCMC information from each parallel chain. The second one (duration) records how much time the MCMC exploration took.
See Also
parallel.temper This function should be used when working with BLASTx data.