Package: fgm 1.0

fgm: Partial Separability and Functional Graphical Models for Multivariate Gaussian Processes

Estimates a functional graphical model and a partially separable KL decomposition for a multivariate Gaussian process.

Authors:@author Javier Zapata, Sang-Yun Oh & Alexander Petersen

fgm_1.0.tar.gz
fgm_1.0.zip(r-4.5)fgm_1.0.zip(r-4.4)fgm_1.0.zip(r-4.3)
fgm_1.0.tgz(r-4.5-any)fgm_1.0.tgz(r-4.4-any)fgm_1.0.tgz(r-4.3-any)
fgm_1.0.tar.gz(r-4.5-noble)fgm_1.0.tar.gz(r-4.4-noble)
fgm_1.0.tgz(r-4.4-emscripten)fgm_1.0.tgz(r-4.3-emscripten)
fgm.pdf |fgm.html✨
fgm/json (API)

# Install 'fgm' in R:
install.packages('fgm', repos = c('https://javzapata.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/javzapata/fgm/issues

On CRAN:

Conda-Forge:

covariance-estimationfunctional-data-analysisgaussian-processesgraphical-modelskarhunen-loeveneuroimaging-dataneuroscience

3.30 score 4 stars 8 scripts 178 downloads 2 exports 73 dependencies

Last updated 4 years agofrom:30bbc75a22. Checks:1 OK, 7 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 16 2025
R-4.5-winWARNINGFeb 16 2025
R-4.5-macWARNINGFeb 16 2025
R-4.5-linuxWARNINGFeb 16 2025
R-4.4-winWARNINGFeb 16 2025
R-4.4-macWARNINGFeb 16 2025
R-4.3-winWARNINGFeb 16 2025
R-4.3-macWARNINGFeb 16 2025

Exports:fgmpfpca

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercolorspacecpp11data.tabledigestevaluatefansifarverfastmapfdapacefontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsigraphisobandJGLjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmennetnumDerivpillarpkgconfigpracmaR6rappdirsRColorBrewerRcppRcppEigenrlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletinytexutf8vctrsviridisviridisLitewithrxfunyaml