V_to_Ab: Transform Vertex/Inequality Representation of Polytope

In multinomineq: Bayesian Inference for Multinomial Models with Inequality Constraints

Transform Vertex/Inequality Representation of Polytope

Description

For convex polytopes: Requires rPorta (https://github.com/TasCL/rPorta) to transform the vertex representation to/from the inequality representation. Since rPorta cannot be compiled with R versions >=4.0.0 anymore, the function is currently deprecated.

Usage

V_to_Ab(V)

Ab_to_V(A, b, options = 2)

Arguments

V	a matrix with one vertex of a polytope per row (e.g., the admissible preference orders of a random utility model or any other theory). Since the values have to sum up to one within each multinomial condition, the last value of each multinomial is omitted (e.g., the prediction 1-0-0/0-1 for a tri and binomial becomes 1-0/0).
A	a matrix defining the convex polytope via A*x <= b. The columns of A do not include the last choice option per item type and thus the number of columns must be equal to sum(options-1) (e.g., the column order of A for k = c(a1,a2,a2, b1,b2) is c(a1,a2, b1)).
b	a vector of the same length as the number of rows of A.
options	number of choice options per item type. Can be a vector options=c(2,3,4) if item types have 2/3/4 choice options.

Details

Choice models can be represented as polytopes if they assume a latent mixture over a finite number preference patterns (random preference model). For the general approach and theory underlying binary and ternary choice models, see Regenwetter et al. (2012, 2014, 2017).

The function is currently deprecated since the package rPorta cannot be compiled with R>=4.0.0!

For binary choices (options=2), additional constraints are added to A and b to ensure that all dimensions of the polytope satisfy: 0 <= p_i <= 1. For ternary choices (options=3), constraints are added to ensure that 0 <= p_1+p_2 <=1 for pairwise columns (1+2, 3+4, 5+6, ...). See Ab_multinom.

References

Regenwetter, M., & Davis-Stober, C. P. (2012). Behavioral variability of choices versus structural inconsistency of preferences. Psychological Review, 119(2), 408-416. doi: 10.1037/a0027372

Regenwetter, M., Davis-Stober, C. P., Lim, S. H., Guo, Y., Popova, A., Zwilling, C., … Messner, W. (2014). QTest: Quantitative testing of theories of binary choice. Decision, 1(1), 2-34. doi: 10.1037/dec0000007

Regenwetter, M., & Robinson, M. M. (2017). The construct–behavior gap in behavioral decision research: A challenge beyond replicability. Psychological Review, 124(5), 533-550. https://doi.org/10.1037/rev0000067

multinomineq documentation built on Nov. 22, 2022, 5:09 p.m.