newloglik: Compute the log-likelihood of a model given some data

In NewWave: Negative binomial model for scRNA-seq

Description

Given a statistical model and some data, this function computes the log-likelihood of the model given the data, i.e., the log-probability of the data under the model.

Usage

newloglik(model, x, ...)

## S4 method for signature 'newmodel,matrix'
newloglik(model, x)

Arguments

model	an object that describes a statistical model.
x	an object that describes data.
...	additional arguments.

Value

The log-likelihood of the model given the data.

Methods (by class)

• model = newmodel,x = matrix: return the log-likelihood of the nb model.

Examples

m <- newmodel(n=5, J=10)
x <- newSim(m)
newloglik(m, x$counts)

NewWave documentation built on Dec. 26, 2020, 6 p.m.