liks {RCM} | R Documentation

## Calculate the log-likelihoods of all possible models

### Description

Calculate the log-likelihoods of all possible models

### Usage

    liks(rcm, Sum = TRUE)

### Arguments

`rcm` | an object of the RCM class
`Sum` | a boolean, should log-likelihoods be summed?

### Value

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.

### Examples

    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)

[Package RCM version 1.6.0 Index]