reportJointPerf: Report joint performance of (x-y,y-y) edge detection

In topherconley/spacemap: A novel conditional graphical model for integrative genomics

Description

Assesses the network learning performance of spaceMap (or space) against a known truth by reporting power and false discovery rate.

Usage

reportJointPerf(fit, truth, aszero = 1e-06, verbose = TRUE)

Arguments

fit	A list of numeric matrices named 'xy' and 'yy' encoding the fitted model parameter estimates (or the true adjacency matrices).
truth	A list of numeric matrices named 'xy' and 'yy' encoding the true model parameters (or an adjacency matrix).
aszero	A numeric value specifying the point at which a parameter estimate should be effectively considered of zero value.
verbose	A logical value indicating whether to report the performance to the console.

Value

A numeric, named vector

• power Joint power on (x-y,y-y)

• fdr Joint false discovery rate (FDR) on (x-y,y-y)

• powerXY Power of x-y edges

• fdrXY FDR of x-y edges

• powerYY Power of y-y edges

• fdrYY FDR of y-y edges

• tp True positives of (x-y,y-y)

• fn False negatives of (x-y,y-y)

• fp False positives of (x-y,y-y)

• tpXY True positives of x-y

• fnXY False negatives of x-y

• fpXY False positives of x-y

• tpYY True positives of y-y

• fnYY False negatives of y-y

• fpYY False positives of y-y

See Also

reportPerf

topherconley/spacemap documentation built on May 31, 2019, 6:36 p.m.