evaluate_model: Evaluate a sparse model
In spcorum/tsmvrdata: Datasets for tsmvr

Calculates evaluation metrics between estimated and ground truth sparse models (i.e., matrices)

1	evaluate_model(Star, Hat, Sigma = NULL)

`Star`	matrix of true values (m-by-n)
`Hat`	matrix of fitted values (m-by-n)
`Sigma`	positive definite covariance matrix (m-by-m)

A list of evaluation metrics, including:

se, squared error
me, model error
tp, number of true positives
tn, number of true negatives
fp, number of false positives
fn, number of false negatives
tpr, true positive rate
tnr, true negative rate
acc, accuracy
auc, Area Under Curve
f1, F1 score