uvsdProbs

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.

mean

Standard deviation of the distribution

Criteria (not including -Inf or Inf).

bounds

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

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

uvsdProbs function

<dl> <dt>mean</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>sd</dt>
<dd>Standard deviation of the distribution</dd> <dt>bounds</dt>
<dd>Criteria (not including -Inf or Inf).</dd> </dl>

Arguments

Author

Function uvsdProbs — uvsdProbs

<dl>

 <dt>mean</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>sd</dt>
<dd>Standard deviation of the distribution</dd>

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

 </dl>

uvsdProbs: Function uvsdProbs

Description

Usage

Value

Arguments

Author

References

See Also

Examples