NEWS | R Documentation |
Bug fixed on manuals
Redesign the output of the fitted object
Add four classical outlier detection approaches when sample size are large enough
Zscore: Z-score based criterion
grubbs: recurive Grubbs test
iqr: interquartile range (IQR) criterion
siqr: semi-interquartile range (SIQR) criterion
Add new plotting function called oneplot() to detect outliers given a peptide
Add projection pursuit PCA for the projection method
Add toy dataset consisting with 200 peptides and 15 samples
Bug fixed on manuals
ToDo list
Connect to a web-based engine
Redesign plotting functions
Expand the algorithm to Empirical Bayesian approaches
Publish an official version on CRAN
ToDo 1: Add new routine for finding optimal K
ToDo 2: Add new algorithm and routine using Empirical Bayesian approach