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]

fdaMixed_0.6.1.tar.gz
fdaMixed_0.6.1.zip(r-4.7-x86_64)fdaMixed_0.6.1.zip(r-4.7-arm64)fdaMixed_0.6.1.zip(r-4.6-x86_64)fdaMixed_0.6.1.zip(r-4.6-arm64)fdaMixed_0.6.1.zip(r-4.5-x86_64)
fdaMixed_0.6.1.tgz(r-4.6-x86_64)fdaMixed_0.6.1.tgz(r-4.6-arm64)fdaMixed_0.6.1.tgz(r-4.5-x86_64)fdaMixed_0.6.1.tgz(r-4.5-arm64)
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✨
DESCRIPTION
card.svg |card.png
fdaMixed/json (API)

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

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

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

On CRAN:

Conda:

openblascpp

2.00 score 4 scripts 336 downloads 3 exports 3 dependencies

Last updated from:5320fd2426. Checks:13 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING152
linux-devel-x86_64WARNING133
source / vignettesOK211
linux-release-arm64WARNING109
linux-release-x86_64WARNING115
macos-release-arm64WARNING166
macos-release-x86_64WARNING513
macos-oldrel-arm64WARNING107
macos-oldrel-x86_64WARNING374
windows-devel-arm64WARNING464
windows-devel-x86_64WARNING190
windows-release-arm64WARNING376
windows-release-x86_64WARNING152
windows-oldrel-x86_64WARNING138
wasm-releaseOK112

Exports:dataTransfdaLmfindRoots

Dependencies:FormulaRcppRcppArmadillo