liks | R Documentation |

Calculate the log-likelihoods of all possible models

liks(rcm, Sum = TRUE)

`rcm` |
an object of the RCM class |

`Sum` |
a boolean, should log-likelihoods be summed? |

If Sum is FALSE, a named array log-likelihoods of the independence model and all models with dimension 1 to k, including after filtering on confounders. Otherwise a table with log-likelihoods, deviance explained and cumulative deviance explained.

data(Zeller) require(phyloseq) tmpPhy = prune_taxa(taxa_names(Zeller)[1:100], prune_samples(sample_names(Zeller)[1:50], Zeller)) zellerRCM = RCM(tmpPhy, round = TRUE) liks(zellerRCM)

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