Metadata-Version: 2.1
Name: H-MCRLLM
Version: 0.0.13
Summary: H MCRLLM: Hierarchical Multivariate Curve Resolution by Log-Likelihood Maximization
Home-page: UNKNOWN
Author: Ryan Gosselin
Author-email: ryan.gosselin@usherbrooke.ca
License: UNKNOWN
Description: H MCRLLM: Hierarchical Multivariate Curve Resolution by Log-Likelihood Maximization    
        
        X = CS    
        where    
        X(nxk): Spectroscopic data where n spectra acquired over k energy levels    
        C(nxa): Composition map based on a MCRLLM components    
        S(axk): Spectra of the a components as computed by MCRLLM    
        
        # Method first presented in    
        Lavoie F.B., Braidy N. and Gosselin R. (2016) Including Noise Characteristics in MCR to improve Mapping and Component Extraction from Spectral Images, Chemometrics and Intelligent Laboratory Systems, 153, 40-50.    
        
        # Dataset    
        XPS dataset of Titanium, Vanadium and Chromium. Please refer to Lavoie et al. (2016) for further details on the sample.
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
