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-4.7-arm64)fdaMixed_0.6.1.tar.gz(r-4.7-x86_64)fdaMixed_0.6.1.tar.gz(r-4.6-arm64)fdaMixed_0.6.1.tar.gz(r-4.6-x86_64)
fdaMixed_0.6.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
fdaMixed/json (API)

# Install 'fdaMixed' in R:
install.packages('fdaMixed', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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 233 downloads 3 exports 3 dependencies

Last updated from:d0f908ea14. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK183
linux-devel-x86_64OK133
source / vignettesOK166
linux-release-arm64OK144
linux-release-x86_64OK144
wasm-releaseOK134

Exports:dataTransfdaLmfindRoots

Dependencies:FormulaRcppRcppArmadillo