Provide regularized principal component analysis incorporating smoothness, sparseness and orthogonality of eigen-functions by using the alternating direction method of multipliers algorithm (Wang and Huang, 2017, <DOI:10.1080/10618600.2016.1157483>). The method can be applied to either regularly or irregularly spaced data, including 1D, 2D, and 3D.
|Author||Wen-Ting Wang [aut, cre] (<https://orcid.org/0000-0003-3051-7302>), Hsin-Cheng Huang [aut] (<https://orcid.org/0000-0002-5613-349X>)|
|Maintainer||Wen-Ting Wang <firstname.lastname@example.org>|
|Package repository||View on CRAN|
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