salvadorgarciamunoz/kipet: Stable release with multiple experimental datasets
Author(s)
Short, Michael
Thierry, David
Rodriguez, Santiago
Garcia Munoz, Salvador
Type
Software / Code
Abstract
New KIPET Version 1.1.0!
New stable release, which includes the features and code of the latest KIPET publication.
Major Features Multiple Experimental Datasets
The major addition to the KIPET package since the last release is the inclusion of the MultipleExperimentsEstimator class that allows for multiple experimental datasets to be analyzed simultaneously. The class allows for different models or the same model to be inputted, with parameters that are local or global to the specific datasets automatically detected. The class contains functions to run separate variance estimation upon each dataset that can also be used to initialize the problem. In addition the parameter estimation can be done simultaneously across multiple datasets and models for both spectra and concentration problems with or without shared spectra between species.
New Variance Estimation Method
The new variance estimation method described in the second KIPET paper is also included, providing a more rigorous approach to the variance estimation.
Minor Features
A host of new examples to showcase the multiple experiments estimation, new documentation, as well as a few minor bug fixes.
New stable release, which includes the features and code of the latest KIPET publication.
Major Features Multiple Experimental Datasets
The major addition to the KIPET package since the last release is the inclusion of the MultipleExperimentsEstimator class that allows for multiple experimental datasets to be analyzed simultaneously. The class allows for different models or the same model to be inputted, with parameters that are local or global to the specific datasets automatically detected. The class contains functions to run separate variance estimation upon each dataset that can also be used to initialize the problem. In addition the parameter estimation can be done simultaneously across multiple datasets and models for both spectra and concentration problems with or without shared spectra between species.
New Variance Estimation Method
The new variance estimation method described in the second KIPET paper is also included, providing a more rigorous approach to the variance estimation.
Minor Features
A host of new examples to showcase the multiple experiments estimation, new documentation, as well as a few minor bug fixes.
Version
1.1.0
Date Issued
2020-05-09
Citation
2020
Copyright Statement
Other (Open)
Subjects
salvadorgarciamunoz/kipet