Robust functional principal component analysis for non-Gaussian longitudinal data
KFPCA
Implementation for Kendall functional principal component analysis. Kendall functional principal component analysis is a robust functional principal component analysis technique for non-Gaussian functional/longitudinal data. The crucial function of this package is KFPCA(). Moreover, least square estimates of functional principal component scores are also provided. The software is distributed under the GNU General Public License.
Contact me or Rou Zhong with any questions, comments, or bugs reports.
SLFPCA: Sparse logistic functional principal component analysis
SLFPCA
Implementation for sparse logistic functional principal component analysis (SLFPCA). SLFPCA is specifically developed for functional binary data, and the estimated eigenfunction can be strictly zero on some sub-intervals, which is helpful for interpretation. The crucial function of this package is SLFPCA.
Beijing, China
