# ll_compute: (Internal) function to compute the log likelihood of an... In Nth-iteration-labs/ofmlr: Fit online finite mixtures of logistic regression models

## Description

Function takes the current model parameters, and an observation to compute the log likelihood of the observation

## Usage

 1 ll_compute(y, X, beta, ak = 1, wk = 1) 

## Arguments

 y A scalar with value 0 or 1; the dependent variable X The feature vector of the current observation beta A $k \times p$ matrix with the true regression coefficients for each mixture component ak A vector of length k summing to 1 for the mixture probabilties wk The mixture weights (posterior probablity of the data point for each component)

## Value

A list containing the log likelihood of the datapoint and the max log likelihood of the datapoint

Nth-iteration-labs/ofmlr documentation built on May 22, 2019, 1:50 p.m.