aic {PrInCE} | R Documentation

## Model selection for Gaussian mixture models

### Description

Calculate the AIC, corrected AIC, or BIC for a curve fit with a Gaussian mixture model by nonlinear least squares optimization. This function permits the calculation of the AIC/AICc/BIC after rejecting some Gaussians in the model, for example because their centres are outside the bounds of the profile.

### Usage

    gaussian_aic(coefs, chromatogram)

    gaussian_aicc(coefs, chromatogram)

    gaussian_bic(coefs, chromatogram)

### Arguments

`coefs` | the coefficients of the Gaussian mixture model, output by `fit_gaussians`
`chromatogram` | the raw elution profile

### Value

the AIC, corrected AIC, or BIC of the fit model

[Package PrInCE version 1.2.0 Index]