fdaMixed: Functional data analysis in a mixed model framework

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.

AuthorBo Markussen
Date of publication2014-01-31 12:16:17
MaintainerBo Markussen <bomar@life.ku.dk>
LicenseGPL-2
Version0.4

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Files

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

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