Package: fdaMixed 0.6.1

Bo Markussen

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]

fdaMixed_0.6.1.tar.gz
fdaMixed_0.6.1.tar.gz(r-4.5-noble)fdaMixed_0.6.1.tar.gz(r-4.4-noble)
fdaMixed_0.6.1.tgz(r-4.4-emscripten)fdaMixed_0.6.1.tgz(r-4.3-emscripten)
fdaMixed.pdf |fdaMixed.html
fdaMixed/json (API)

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

Peer review:

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

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

1.00 score 4 scripts 243 downloads 3 exports 3 dependencies

Last updated 1 years agofrom:d0f908ea14. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKDec 02 2024
R-4.5-linux-x86_64OKDec 02 2024

Exports:dataTransfdaLmfindRoots

Dependencies:FormulaRcppRcppArmadillo