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)
jewel package with the implementation ofthe updated version of the jewel method for joint estimation of Gaussian graphical models (i.e. networks of conditional dependencies, direct connections between variables) given several datasets. We assume that datasets contain measurements of the same variables collected under different conditions (different equipment, locations, even sub-types of disease).
Package is now available on CRAN! To install, run
install.packages("jewel")
To see the vignette, run
library("jewel"")
browseVignettes("jewel")
If you mention the method or use the package, kindly refer to https://www.mdpi.com/2227-7390/9/17/2105 in your citation.