nll_logit: Calculate the negative log likelihood of an entire data set
In kelvinyangli/mbmml: Learn Markov blankets using Minimum Message Length
Description
This function calculate the negative log likelihood of an entire data set.
Usage
1
nll_logit(dataNumeric, betaDotX, xIndices, yIndex)
Arguments
dataNumeric
The numeric format of the given data set. Variable values start from 0. Obtained by
using the function factor2numeric().
betaDotX
Inner product of logit parameters beta and a data point X.
xIndices
Indices of the input variables.
yIndex
Input of the output/target variable.
kelvinyangli/mbmml documentation built on June 29, 2020, 3:12 a.m.
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.
Description
This function calculate the negative log likelihood of an entire data set.
Usage
1 | nll_logit(dataNumeric, betaDotX, xIndices, yIndex)
|
Arguments
dataNumeric |
The numeric format of the given data set. Variable values start from 0. Obtained by using the function factor2numeric(). |
betaDotX |
Inner product of logit parameters beta and a data point X. |
xIndices |
Indices of the input variables. |
yIndex |
Input of the output/target variable. |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.