PLFD

Portmanteau Local Feature Discrimination for Matrix-Variate Data

CRAN Package

The portmanteau local feature discriminant approach first identifies the local discriminant features and their differential structures, then constructs the discriminant rule by pooling the identified local features together. This method is applicable to high-dimensional matrix-variate data. See the paper by Xu, Luo and Chen (2021, doi:10.1007/s13171-021-00255-2).

  • Version0.2.0
  • R version≥ 3.5.0
  • LicenseGPL-3
  • Needs compilation?Yes
  • Languageen-US
  • Last release01/10/2023

Documentation


Team


Insights

Last 30 days

Last 365 days

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


Binaries


Dependencies

  • Imports2 packages
  • Suggests3 packages
  • Linking To2 packages