MultipleDistributionFitting

Finding optimized number of components from mixed distribution data.

Process:

1. Define target function(s)
2. Create fitting model(s)
3. Evaluation the model by AIC, AICc, BIC
4. Choose the model that minimizes the BIC, AICc or AIC

See the document here.

Installation

pip installation method is on the way

Directly download

wget https://github.com/Shirui816/MultipleDistributionFitting/archive/master.zip

or

git clone https://github.com/Shirui816/MultipleDistributionFitting.git

Requirements

numpy >= 1.14
scipy >= 1.0
python3
pandas >= 0.21

Install requirements by

pip install -r requirements.txt

Windows executables are preparing

For Unix/Linux users, you can use python bin/LorentzianNMR.py <files>, or simply LorentzianNMR.py <files> if LorentzianNMR.py is in your PATH.