dpsdProbs

Mean of the signal-detection distribution. In the common
 parameterization of the model, this would be zero for new-item
 trials, and d' for studied-item trials. In the PRM09
 parameterization, these are dn and ds for new and studied-item
 trials, respectively.

Criteria (not including -Inf or Inf).

crit

Returns the probability of making confidence ratings given
 parameters of DPSD.

Contains functions for fitting hierarchical versions of
EVSD, UVSD, DPSD, DPSD with d' restricted to be positive, and
our gamma signal detection model to recognition memory
confidence-ratings data.

Mike

hbmem

Hierarchical Bayesian Analysis of Recognition Memory

dpsdProbs function

<dl> <dt>r</dt>
<dd>Probability of recollection.</dd> <dt>d</dt>
<dd>Mean of the signal-detection distribution. In the common
 parameterization of the model, this would be zero for new-item
 trials, and d' for studied-item trials. In the PRM09
 parameterization, these are dn and ds for new and studied-item
 trials, respectively.</dd> <dt>crit</dt>
<dd>Criteria (not including -Inf or Inf).</dd> </dl>

Arguments

Author

Function dpsdProbs — dpsdProbs

<dl>

 <dt>r</dt>
<dd>Probability of recollection.</dd>

 <dt>d</dt>
<dd>Mean of the signal-detection distribution. In the common
 parameterization of the model, this would be zero for new-item
 trials, and d' for studied-item trials. In the PRM09
 parameterization, these are dn and ds for new and studied-item
 trials, respectively.</dd>

 <dt>crit</dt>
<dd>Criteria (not including -Inf or Inf).</dd>

 </dl>

dpsdProbs: Function dpsdProbs

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples