fgm: Partial Separability and Functional Gaussian Graphical Models

Estimates a functional graphical model and a partially separable Karhunen-Loève decomposition for a multivariate Gaussian process. See Zapata J., Oh S. and Petersen A. (2019) <doi:10.48550/arXiv.1910.03134>.

Version:	1.0
Imports:	JGL, fdapace
Suggests:	mvtnorm, fda, knitr, rmarkdown
Published:	2019-10-22
Author:	Javier Zapata [cre], Sang-Yun Oh [aut], Alexander Petersen [aut]
Maintainer:	Javier Zapata <jzapata at ucsb.edu>
License:	GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation:	no
CRAN checks:	fgm results

Documentation:

Reference manual:

fgm.pdf

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Package source:	fgm_1.0.tar.gz
Windows binaries:	r-prerel: fgm_1.0.zip, r-release: fgm_1.0.zip, r-oldrel: fgm_1.0.zip
macOS binaries:	r-prerel (arm64): fgm_1.0.tgz, r-release (arm64): fgm_1.0.tgz, r-oldrel (arm64): fgm_1.0.tgz, r-prerel (x86_64): fgm_1.0.tgz, r-release (x86_64): fgm_1.0.tgz

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