fdaMixed: Functional data analysis in a mixed model framework

Share:

Likelihood based analysis of 1-dimension functional data in a mixed-effects model framework. Matrix computation are approximated by semi-explicit operator equivalents with linear computational complexity.

Author
Bo Markussen
Date of publication
2014-01-31 12:16:17
Maintainer
Bo Markussen <bomar@life.ku.dk>
License
GPL-2
Version
0.4

View on CRAN

Man pages

dataTrans
Scale invariant Box-Cox transformation
fdaLm
Linear mixed-effects model for functional data
fdaMixed-package
Functional data analysis in a mixed model framework
findRoots
Complex roots of quadratic polynomial

Files in this package

fdaMixed
fdaMixed/src
fdaMixed/src/Makevars
fdaMixed/src/diagGreen.cpp
fdaMixed/src/fdaTrace.cpp
fdaMixed/src/boxcoxTransform.cpp
fdaMixed/src/marginalANOVA.cpp
fdaMixed/src/fdaEngine.cpp
fdaMixed/src/Makevars.win
fdaMixed/NAMESPACE
fdaMixed/R
fdaMixed/R/findRoots.R
fdaMixed/R/fdaLm.R
fdaMixed/R/dataTrans.R
fdaMixed/MD5
fdaMixed/DESCRIPTION
fdaMixed/man
fdaMixed/man/fdaMixed-package.Rd
fdaMixed/man/fdaLm.Rd
fdaMixed/man/findRoots.Rd
fdaMixed/man/dataTrans.Rd