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IMIFA  

Infinite Mixtures of Infinite Factor Analysers and Related Models
View on CRAN: Click here


Download and install IMIFA package within the R console
Install from CRAN:
install.packages("IMIFA")

Install from Github:
library("remotes")
install_github("cran/IMIFA")

Install by package version:
library("remotes")
install_version("IMIFA", "2.2.0")



Attach the package and use:
library("IMIFA")
Maintained by
Keefe Murphy
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-02-05
Latest Update: 2022-12-20
Description:
Provides flexible Bayesian estimation of Infinite Mixtures of Infinite Factor Analysers and related models, for nonparametrically clustering high-dimensional data, introduced by Murphy et al. (2020) . The IMIFA model conducts Bayesian nonparametric model-based clustering with factor analytic covariance structures without recourse to model selection criteria to choose the number of clusters or cluster-specific latent factors, mostly via efficient Gibbs updates. Model-specific diagnostic tools are also provided, as well as many options for plotting results, conducting posterior inference on parameters of interest, posterior predictive checking, and quantifying uncertainty.
How to cite:
Keefe Murphy (2017). IMIFA: Infinite Mixtures of Infinite Factor Analysers and Related Models. R package version 2.2.0, https://cran.r-project.org/web/packages/IMIFA. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.1.0 (2017-02-05 08:44), 1.2.0 (2017-05-09 23:22), 1.2.1 (2017-05-29 23:27), 1.3.0 (2017-06-22 01:21), 1.3.1 (2017-07-07 20:04), 2.0.0 (2018-05-01 17:18), 2.1.0 (2019-02-04 15:33), 2.1.1 (2019-12-11 12:50), 2.1.2 (2020-03-30 16:40), 2.1.3 (2020-05-12 18:10), 2.1.4 (2020-11-19 00:10), 2.1.5 (2021-01-05 00:10), 2.1.6 (2021-05-24 18:50), 2.1.7 (2021-10-08 10:20), 2.1.8 (2021-12-19 15:32), 2.1.9 (2022-08-15 09:10), 2.1.10 (2022-12-20 01:10)
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