loglinear_beta¶

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class sdt_metrics.loglinear_beta(methodname, add_prob_method=False)¶

beta: classic parametric measure of response bias [1].

Use of c() (or loglinear_c()) as a parametric measure of response bias may be preferred.

Applies Hautus’s [2] loglinear transformation to counts before calculating beta. (Transformation is applied to all values)

Note

This metric cannot be calculated from probabilities

See also

c() loglinear_c() beta()

[1]	Green, D. M., and Swets J. A. (1996/1988). Signal Detection theory and psychophysics, reprint edition. Los Altos, CA: Penisula Publishing.

[2]	Hautus, M. (1995). Corrections for extreme proportions and their biasing effects on estimated values of d’. Behavior Research Methods, Instruments, and Computers, 27, 46-51.

classmethod direct(*args)¶

Calculates metric based on hit, miss, correct rejection, and false alarm counts

classmethod __call__(*args)¶

based on the number of args and the availability of .prob routes call to appropriate method.