ARTtransfer - Adaptive and Robust Pipeline for Transfer Learning

ART is a flexible framework for transfer learning that integrates information from auxiliary data sources to improve model performance on primary tasks. It is designed to be robust against negative transfer by including the non-transfer model in the candidate pool, ensuring stable performance even when auxiliary datasets are less informative. See the paper, Wang, Wu, and Ye <doi:10.1002/sta4.582>.

Last updated 1 months ago

4.30 score 1 scripts 503 downloads

sdwd - Sparse Distance Weighted Discrimination

Formulates a sparse distance weighted discrimination (SDWD) for high-dimensional classification and implements a very fast algorithm for computing its solution path with the L1, the elastic-net, and the adaptive elastic-net penalties. More details about the methodology SDWD is seen on Wang and Zou (2016) (<doi:10.1080/10618600.2015.1049700>).

Last updated 3 years ago

2.41 score 13 scripts 212 downloads

CUSUMdesign - Compute Decision Interval and Average Run Length for CUSUM Charts

Computation of decision intervals (H) and average run lengths (ARL) for CUSUM charts. Details of the method are seen in Hawkins and Olwell (2012): Cumulative sum charts and charting for quality improvement, Springer Science & Business Media.

Last updated 4 years ago

2.00 score 2 scripts 212 downloads

kerndwd - Distance Weighted Discrimination (DWD) and Kernel Methods

A novel implementation that solves the linear distance weighted discrimination and the kernel distance weighted discrimination. Reference: Wang and Zou (2018) <doi:10.1111/rssb.12244>.

Last updated 4 years ago

1.00 score 9 scripts 227 downloads