Multibridge: an R package to evaluate informed hypotheses in binomial and multinomial models.
Behav Res Methods
; 55(8): 4343-4368, 2023 12.
Article
in En
| MEDLINE
| ID: mdl-37277644
ABSTRACT
The multibridge R package allows a Bayesian evaluation of informed hypotheses [Formula see text] applied to frequency data from an independent binomial or multinomial distribution. multibridge uses bridge sampling to efficiently compute Bayes factors for the following hypotheses concerning the latent category proportions ð (a) hypotheses that postulate equality constraints (e.g., ð1 = ð2 = ð3); (b) hypotheses that postulate inequality constraints (e.g., ð1 < ð2 < ð3 or ð1 > ð2 > ð3); (c) hypotheses that postulate combinations of inequality constraints and equality constraints (e.g., ð1 < ð2 = ð3); and (d) hypotheses that postulate combinations of (a)-(c) (e.g., ð1 < (ð2 = ð3),ð4). Any informed hypothesis [Formula see text] may be compared against the encompassing hypothesis [Formula see text] that all category proportions vary freely, or against the null hypothesis [Formula see text] that all category proportions are equal. multibridge facilitates the fast and accurate comparison of large models with many constraints and models for which relatively little posterior mass falls in the restricted parameter space. This paper describes the underlying methodology and illustrates the use of multibridge through fully reproducible examples.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Bayes Theorem
Type of study:
Prognostic_studies
Limits:
Humans
Language:
En
Journal:
Behav Res Methods
Journal subject:
CIENCIAS DO COMPORTAMENTO
Year:
2023
Document type:
Article
Affiliation country:
Netherlands