predictedROC: Returning false alarm and hit rates for the Dual Process...

In nklange/fullDPROC: Fitting Dual-Process model to recognition and source memory data

Description

This function allows you to get the correspending false alarm and hit rates for a given set of parameters (recollection for both distributions, familiarity, standard deviation for the target distribution). A boolean allows you to fit a source ROC when set TRUE, with target and lure distributions representing designated target source and lure source, and a recognition ROC when set FALSE (with recollection_lure and familiarity set to 0 for the lure distribution).

Usage

predictedROC(recollection_target, recollection_lure, familiarity,
  sd_target = 1, fitSource = TRUE)

Arguments

recollection_target	A value representing the recollection rate for target items.
recollection_lure	A value representing the recollection rate for lure items.
familiarity	A value representing the familiarity rate
sd_target	A value representing the standard deviation of the target distribution (default: sd_target = 1)
fitSource	A boolean value representing whether a recognition or source memory ROC is fitted (default: fitSource = TRUE)

Value

The function returns a data frame with components:

fa	The fitted cumulative false alarm rate.
hit	The fitted cumulative hit rate.

Author(s)

Nicholas Lange, [e-mail]

References

Yonelinas, A. P. (1999). The Contribution of Recollection and Familiarity to Recognition and Source-Memory Judgments: A Formal Dual-Process Model and an Analysis of Receiver Operating Characteristics. Journal of Experimental Psychology: Learning, Memory, and Cognition, 25(6), 1415 - 1434. http://doi.org/10.1037//0278-7393.25.6.1415

nklange/fullDPROC documentation built on May 26, 2019, 2:34 a.m.