Package: fdaMixed 0.6.1

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. Markussen (2013) <doi:10.3150/11-BEJ389>.

Authors:Bo Markussen [aut, cre]

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fdaMixed.pdf |fdaMixed.html
fdaMixed/json (API)

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

Peer review:

Bug tracker:https://github.com/bomarkussen/fdamixed/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

2.00 score 4 scripts 267 downloads 3 exports 3 dependencies

Last updated 7 months agofrom:5320fd2426. Checks:OK: 1 WARNING: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-win-x86_64WARNINGNov 14 2024
R-4.5-linux-x86_64WARNINGNov 14 2024
R-4.4-win-x86_64WARNINGNov 14 2024
R-4.4-mac-x86_64WARNINGNov 14 2024
R-4.4-mac-aarch64WARNINGNov 14 2024
R-4.3-win-x86_64WARNINGNov 14 2024
R-4.3-mac-x86_64WARNINGNov 14 2024
R-4.3-mac-aarch64WARNINGNov 14 2024

Exports:dataTransfdaLmfindRoots

Dependencies:FormulaRcppRcppArmadillo