| samplesFA {fangs} | R Documentation |
Samples from the Attraction Indian Buffet Distribution
Description
Samples are provided from a latent feature allocation model using the Attraction Indian Buffet Distribution (Warr et al., 2022) as a prior distribution. The purpose of the model was to use pairwise distance information to identify and predict the presence of Alzheimer's disease in patients.
Usage
data(samplesFA)
Format
An object of class ‘list’ containing 100 posterior samples from Warr et al. (2022)'s analysis. Each list elements encodes one feature allocation as a binary matrix, with items in the rows and features in the columns. These 100 feature allocation samples are a subset of the original 1000 samples obtained using MCMC in the original simulation study described by Warr et al. (2022).
References
R. L. Warr, D. B. Dahl, J. M. Meyer, A. Lui (2022), The Attraction Indian Buffet Distribution, Bayesian Analysis, 17 (3), 931-967, doi:10.1214/21-BA1279.