r-funpca

Description

Functional Principal Component Analysis.

Description

Functional principal component analysis under the Linear Mixed Models representation of smoothing splines. The method utilizes the Demmler-Reinsch basis and assumes error independence. For more details see: F. Rosales (2016) <https://ediss.uni-goettingen.de/handle/11858/00-1735-0000-0028-87F9-6>.

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Version

9.0

License

Unknown

Platforms (75)

Darwin

FreeBSD

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GHCJS

Linux

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NetBSD

none

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aarch64-darwin
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aarch64-linux
aarch64-netbsd
aarch64-none
aarch64_be-none
arm-none
armv5tel-linux
armv6l-linux
armv6l-netbsd
armv6l-none
armv7a-darwin
armv7a-linux
armv7a-netbsd
armv7l-linux
armv7l-netbsd
avr-none
i686-cygwin
i686-darwin
i686-freebsd
i686-genode
i686-linux
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i686-none
i686-openbsd
i686-windows
javascript-ghcjs
loongarch64-linux
m68k-linux
m68k-netbsd
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microblaze-linux
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microblazeel-linux
microblazeel-none
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mipsel-linux
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mmix-mmixware
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Platforms75 (75)

Platforms (75)