beta¶

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class sdt_metrics.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.

This funciton applies Macmillan and Kaplan [2] correction to extreme values.

See also

c() loglinear_c() loglinear_beta()

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

[2]	Macmillan, N. A., and Kaplan, H. L. (1985). Detection theory analysis of group data: Estimating sensitivity from average hit and false-alarm rates. Psychological Bulletin, 98, 185-199.

classmethod direct(*args)¶

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

static prob(*args)¶

Calculates metric based on hit rate and false alarm rate

classmethod __call__(*args)¶

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