Functional Linear Mixed Models for Irregularly or Sparsely Sampled Data

Estimation of functional linear mixed models for irregularly or sparsely sampled data based on functional principal component analysis.


News

Changes in sparseFLMM v0.2.2.tar.gz (Update date: 2018-03-26):

  • replace rBind and cBind by rbind and cbind as they are depricated.

    Changes in sparseFLMM v0.2.1.tar.gz (Release date: 2017-09-23):

  • fix for triangular covariance estimation; only use products \tilde{y}{ij}\tilde{y}{i^\prime j^\prime} with t_{ij} \leq t_{i^\prime j^\prime} when i \leq i^\prime and with t_{ij} < t_{i^\prime j^\prime} otherwise.

Reference manual

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install.packages("sparseFLMM")

0.2.2 by Jona Cederbaum, a year ago


Browse source code at https://github.com/cran/sparseFLMM


Authors: Jona Cederbaum


Documentation:   PDF Manual  


Task views: Functional Data Analysis


GPL-2 license


Imports methods, parallel, MASS, Matrix

Depends on mgcv, data.table, refund


See at CRAN