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

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

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