Publication Date:
2023
abstract:
Estimates networks of conditional dependencies (Gaussian graphical models) from multiple classes of data (similar but not exactly, i.e. measurements on different equipment, in different locations or for various sub-types). Package also allows to generate simulation data and evaluate the performance. Implementation of the method described in Angelini, De Canditiis and Plaksienko (2022) .
Iris type:
05.11 Software
Keywords:
Graphical Model; Estimation Network; Group Lasso penalty
List of contributors: