inertia: Calculate the log-likelihoods of all possible models
In CenterForStatistics-UGent/RCM: Fit row-column association models with the negative binomial distribution for the microbiome
inertia R Documentation
Calculate the log-likelihoods of all possible models
Description
Calculate the log-likelihoods of all possible models
Usage
inertia(rcm)
Arguments
rcm
an object of the RCM class
Value
A table with inertias, proportion inertia explained
and cumulative proportion of inertia 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)
inertia(zellerRCM)
CenterForStatistics-UGent/RCM documentation built on April 24, 2023, 8:26 p.m.
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| inertia | R Documentation |
Calculate the log-likelihoods of all possible models
Description
Calculate the log-likelihoods of all possible models
Usage
inertia(rcm)
Arguments
rcm |
an object of the RCM class |
Value
A table with inertias, proportion inertia explained and cumulative proportion of inertia 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)
inertia(zellerRCM)
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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