auc.b: auc.b

In lch14forever/BEEM-static: An EM-like algorithm for biomass and microbiome model inference from cross sectional microbial profiling data

Description

plot ROC curve with AUC for the interaction graph (interaction signs are ignored)

Usage

auc.b(b.est, b.true, is.association = FALSE, show = TRUE, ...)

Arguments

b.est	the estimated interaction network (This can be a correlation matrix and the edges will be ranked based on the absolute value of the correlation coefficents)
b.true	the true interaction network
is.association	'b.est' is an association structure
show	plot ROC curve. If set to 'FALSE', this will return the AUC value.
...	additional arguments for 'pROC::plot.roc'

Author(s)

Chenhao Li, Niranjan Nagarajan

lch14forever/BEEM-static documentation built on Sept. 5, 2021, 11:31 p.m.