strategy_unique

Find unique item types, which are defined as patterns of cue values
that lead to identical strategy predictions.

Implements Gibbs sampling and Bayes factors for multinomial models with
linear inequality constraints on the vector of probability parameters. As
special cases, the model class includes models that predict a linear order
of binomial probabilities (e.g., p[1] < p[2] < p[3] < .50) and mixture models
assuming that the parameter vector p must be inside the convex hull of a
finite number of predicted patterns (i.e., vertices). A formal definition of
inequality-constrained multinomial models and the implemented computational
methods is provided in: Heck, D.W., & Davis-Stober, C.P. (2019).
Multinomial models with linear inequality constraints: Overview and improvements
of computational methods for Bayesian inference. Journal of Mathematical
Psychology, 91, 70-87. <doi:10.1016/j.jmp.2019.03.004>.
Inequality-constrained multinomial models have applications in the area of
judgment and decision making to fit and test random utility models
(Regenwetter, M., Dana, J., & Davis-Stober, C.P. (2011). Transitivity of
preferences. Psychological Review, 118, 42–56, <doi:10.1037/a0021150>) or to
perform outcome-based strategy classification to select the decision strategy
that provides the best account for a vector of observed choice frequencies
(Heck, D.W., Hilbig, B.E., & Moshagen, M. (2017). From information
processing to decisions: Formalizing and comparing probabilistic choice models.
Cognitive Psychology, 96, 26–40. <doi:10.1016/j.cogpsych.2017.05.003>).

Daniel W. Heck

multinomineq

Bayesian Inference for Multinomial Models with Inequality
Constraints

strategy_unique function

<dl><dt>strategies</dt>
<dd>a list of strategy predictions with the same length of
the vector <code>pattern</code>, see strategy_multiattribute.</dd>
<dt>add_baseline</dt>
<dd>whether to add a baseline model which assumes one probability in [0,1] for each item type.</dd>
<dt>reversed</dt>
<dd>whether reversed patterns are treated separately
(default: automatically switch Option A and B if <code>pattern=c(-1,1,1,1)</code>)</dd></dl>

Arguments

Unique Patterns/Item Types of Strategy Predictions — strategy_unique

<dl>

<dt>strategies</dt>
<dd>a list of strategy predictions with the same length of
the vector <code>pattern</code>, see strategy_multiattribute.</dd>


<dt>add_baseline</dt>
<dd>whether to add a baseline model which assumes one probability in [0,1] for each item type.</dd>


<dt>reversed</dt>
<dd>whether reversed patterns are treated separately
(default: automatically switch Option A and B if <code>pattern=c(-1,1,1,1)</code>)</dd>

</dl>

strategy_unique: Unique Patterns/Item Types of Strategy Predictions

Description

Usage

Value

Arguments

Examples