Package: tensorordinal
Type: Package
Title: Tensor Noise Reduction and Completion Based on Ordinal
        Observations
Version: 0.2.0
Author: Chanwoo Lee <chanwoo.lee@wisc.edu>, Miaoyan Wang <miaoyan.wang@wisc.edu>
Maintainer: Chanwoo Lee <chanwoo.lee@wisc.edu>
Imports: pracma, MASS, rTensor, methods
Description: Efficient algorithm for tensor noise reduction and completion of ordinal tensor data based on the cumulative link model. The algorithm employs the alternating optimization approach. The detailed algorithm description can be found in Lee and Wang, Proceedings of International Conference on Machine Learning, 119:5778-5788, 2020.
URL: http://proceedings.mlr.press/v119/lee20i.html
License: GPL (>= 2)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2020-12-13 03:36:43 UTC; chanwoolee
Repository: CRAN
Date/Publication: 2020-12-13 05:20:03 UTC
