EstDimIC: Dimension estimation by AIC and BIC
In RefFreeEWAS: EWAS using Reference-Free DNA Methylation Mixture Deconvolution

Description Usage Arguments Details Value Author(s) References See Also Examples

Method for estimating latent dimension by AIC and BIC.

1	EstDimIC(Rmat,Krange=0:25)

`Rmat`	Residual matrix for which to estimate latent dimension.
`Krange`	Vector of integers representing candidate dimensions to consider

Method for estimating latent dimension by AIC and BIC. Inferior to the RMT method in the isva package, but it appears here because it's mentioned in our paper.

A list containing AIC and BIC for candidate dimensions, as well as the best dimension for each.

E. Andres Houseman

HOUSEMAN, Eugene Andres, MOLITOR, John, et MARSIT, Carmen J. Reference-free cell mixture adjustments in analysis of DNA methylation data. Bioinformatics, 2014, vol. 30, no 10, p. 1431-1439.

EstDimRMT

data(RefFreeEWAS)

## Not run: 
  tmpDesign <- cbind(1, rfEwasExampleCovariate)
  tmpBstar <- rfEwasExampleBetaValues 

  EstDimIC(rfEwasExampleBetaValues-tmpBstar 

## End(Not run)