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.


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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0.4.1 by Jona Cederbaum, 7 months ago

Browse source code at

Authors: Jona Cederbaum [aut, cre] , Alexander Volkmann [aut] , Almond Stöcker [aut]

Documentation:   PDF Manual  

Task views: Functional Data Analysis

GPL-2 license

Imports methods, parallel, MASS, Matrix, data.table

Depends on mgcv, refund

Imported by multifamm.

See at CRAN