| Name : R-RobMixReg
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| Version : 1.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.16.7
| Date : 2024-06-14 11:51:33
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| Group : Development/Libraries/Other
| Source RPM : R-RobMixReg-1.1.0-lp153.16.7.src.rpm
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| Size : 2.05 MB
| |
| Packager : (none)
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| Summary : Robust Mixture Regression
|
Description :
Finite mixture models are a popular technique for modelling unobserved
heterogeneity or to approximate general distribution functions in a
semi-parametric way. They are used in a lot of different areas such as
astronomy, biology, economics, marketing or medicine. This package is
the implementation of popular robust mixture regression methods based
on different algorithms including: fleximix, finite mixture models and
latent class regression; CTLERob, component-wise adaptive trimming
likelihood estimation; mixbi, bi-square estimation; mixL, Laplacian
distribution; mixt, t-distribution; TLE, trimmed likelihood estimation.
The implemented algorithms includes: CTLERob stands for Component-wise
adaptive Trimming Likelihood Estimation based mixture regression; mixbi
stands for mixture regression based on bi-square estimation; mixLstands
for mixture regression based on Laplacian distribution; TLE stands for
Trimmed Likelihood Estimation based mixture regression. For more detail
of the algorithms, please refer to below references. Reference: Chun
Yu, Weixin Yao, Kun Chen (2017) < doi:10.1002/cjs.11310>. NeyKov N,
Filzmoser P, Dimova R et al. (2007) < doi:10.1016/j.csda.2006.12.024>.
Bai X, Yao W. Boyer JE (2012) < doi:10.1016/j.csda.2012.01.016>. Wennan
Chang, Xinyu Zhou, Yong Zang, Chi Zhang, Sha Cao (2020)
< arXiv:2005.11599>.
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RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
