{EGAnet} 2.0.7

Changes in version 2.0.7

• FIX: mixed data with missing data in network.predictability

• ADD: frobenius norm to compare networks

• ADD: network.compare function to test for differences in network structures using three different metrics (Frobenius Norm, Jensen-Shannon Similarity, total network strength)

• ADD: a general function called information to compute several information theory measures

• UPDATE: default 'loading.method' for net.loads has been changed to "revised" moving forward -- the previous default in versions <= 2.0.6 can be obtained using "original"

• UPDATE: invariance handles more than 2 groups (plots up to 4 groups pairwise)

• UPDATE: added 'signed' argument in jsd to allow for signed or absolute networks to be used in computations (includes downstream functions: infoCluster)

• UPDATE: NEWS is now formatted in markdown

• UPDATE: network.predictability uses R-squared and mean absolute error (MAE) for all node predictions

• INTERNAL: network.generalizabilty was moved to be internal (needs some work yet)

• INTERNAL: signs for net.loads uses the first eigenvector of the target network (rather than the custom obtain_signs function)