aic: Model selection for Gaussian mixture models

Description Usage Arguments Value

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

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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


PrInCE documentation built on Nov. 8, 2020, 6:34 p.m.