Packaged: 2022-09-18 18:56:29 UTC; mengyanggu

Title: Robust Mixture Modeling Fitted via Spatial-EM Algorithm for
Model-Based Clustering and Outlier Detection
Author: Aishat Aloba, Kai Yu, Xin Dang, Yixin Chen, and Henry Bart Jr.
Description: The Spatial-EM is a new robust EM algorithm for the finite
mixture learning procedures. The algorithm utilizes median-
based location and rank-based scatter estimators to replace sample
mean and sample covariance matrix in each M step, hence enhancing
stability and robustness of the algorithm. To understand more about
''Yu, K., Dang, X., Bart Jr, H. and Chen, Y. (2015). Robust Model-
based Learning via Spatial-EM Algorithm. IEEE Transactions on
Knowledge and Data Engineering, 27(6), 1670-1682.

Title: Robust Gaussian Stochastic Process Emulation
Author: Mengyang Gu [aut, cre], Jesus Palomo [aut], James Berger [aut]
Description: Robust parameter estimation and prediction of Gaussian stochastic process emulators.
Important functions : rgasp(), predict.rgasp().
Packaged: 2016-09-16 15:24:18 UTC; gumengyang

Packaged: 2017-01-26 15:22:54 UTC; gumengyang

Packaged: 2017-12-23 03:45:34 UTC; gumengyang

Packaged: 2018-03-27 17:15:15 UTC; gumengyang

Description: Robust parameter estimation and prediction of Gaussian stochastic process emulators. It allows for robust parameter estimation and prediction using Gaussian stochastic process emulator. See the reference: Mengyang Gu, Xiaojing Wang and Jim Berger (2017) <arXiv:1708.04738>.
Packaged: 2018-09-11 02:09:17 UTC; gumengyang

Description: Robust parameter estimation and prediction of Gaussian stochastic process emulators. It allows for robust parameter estimation and prediction using Gaussian stochastic process emulator. It also implements the parallel partial Gaussian stochastic process emulator for computer model with massive outputs See the reference: Mengyang Gu and Jim Berger, 2016, Annals of Applied Statistics; Mengyang Gu, Xiaojing Wang and Jim Berger, 2018, Annals of Statistics.
Packaged: 2019-06-05 17:49:10 UTC; mengyanggu