meteorits
0.1.1Mixture-of-Experts Modeling for Complex Non-Normal Distributions
Overview
Provides a unified mixture-of-experts (ME) modeling and estimation framework with several original and flexible ME models to model, cluster and classify heterogeneous data in many complex situations where the data are distributed according to non-normal, possibly skewed distributions, and when they might be corrupted by atypical observations. Mixtures-of-Experts models for complex and non-normal distributions ('meteorits') are originally introduced and written in 'Matlab' by Faicel Chamroukhi. The references are mainly the following ones. The references are mainly the following ones. Chamroukhi F., Same A., Govaert, G. and Aknin P. (2009) doi:10.1016/j.neunet.2009.06.040. Chamroukhi F. (2010) https://chamroukhi.com/FChamroukhi-PhD.pdf. Chamroukhi F. (2015) arXiv:1506.06707. Chamroukhi F. (2015) https://chamroukhi.com/FChamroukhi-HDR.pdf. Chamroukhi F. (2016) doi:10.1109/IJCNN.2016.7727580. Chamroukhi F. (2016) doi:10.1016/j.neunet.2016.03.002. Chamroukhi F. (2017) doi:10.1016/j.neucom.2017.05.044.
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2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2025-11-27issues were not corrected despite reminders
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.1.12020-01-10 · diff ↗
- 0.1.02019-10-07
- RR 3.6.0 released · 2019-04-26
Package metadata
- Total releases
- 2
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 1.1 KB / 1 file
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