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THE FEUTEX TOOLKIT

Likelihood Information Criteria

Calculate AIC, small-sample AICc and BIC from a fitted model’s likelihood and parameter count.

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02 Your result
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FormulaAic = 2*k-2*ll; Aicc = 2*k-2*ll+2*k*(k+1)/(n-k-1); Bic = k*log(n)-2*ll
Sources and model references

Worked example

Inputs

Maximized log likelihood
-100 log likelihood
Estimated parameters
5 count
Independent observations
100 count

Expected results

Aic
210 number
Aicc
210.6382979 number
Bic
223.0258509 number

Load the example in the workspace to reproduce these results. Display rounding does not change the underlying calculation.

How to use this tool

  1. Enter the labeled inputs using consistent units.
  2. Check the stated assumptions and calculate.
  3. Review each output and compare another input scenario.

Try this example

{
  "ll": -100,
  "k": 5,
  "n": 100
}

Accuracy and scope

Compare models fitted to the same observations and likelihood convention; include all estimated parameters in k. Finite floating-point arithmetic; results can lose precision near singular or extreme inputs.

Is my data uploaded?

This tool runs locally in your browser. Input and output are not sent to a processing server. Copy or download your result before leaving the page.