Package: fastFMM 0.4.0
Erjia Cui
fastFMM: Fast Functional Mixed Models using Fast Univariate Inference
Implementation of the fast univariate inference approach (Cui et al. (2022) <doi:10.1080/10618600.2021.1950006>, Loewinger et al. (2024) <doi:10.7554/eLife.95802.2>) for fitting functional mixed models. User guides and Python package information can be found at <https://github.com/gloewing/photometry_FLMM>.
Authors:
fastFMM_0.4.0.tar.gz
fastFMM_0.4.0.zip(r-4.5)fastFMM_0.4.0.zip(r-4.4)fastFMM_0.4.0.zip(r-4.3)
fastFMM_0.4.0.tgz(r-4.5-any)fastFMM_0.4.0.tgz(r-4.4-any)fastFMM_0.4.0.tgz(r-4.3-any)
fastFMM_0.4.0.tar.gz(r-4.5-noble)fastFMM_0.4.0.tar.gz(r-4.4-noble)
fastFMM_0.4.0.tgz(r-4.4-emscripten)fastFMM_0.4.0.tgz(r-4.3-emscripten)
fastFMM.pdf |fastFMM.html✨
fastFMM/json (API)
NEWS
| # Install 'fastFMM' in R: |
| install.packages('fastFMM', repos = c('https://gloewing.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gloewing/fastfmm/issues
Last updated 7 days agofrom:f24cc28402. Checks:9 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Apr 01 2025 |
| R-4.5-win | OK | Apr 01 2025 |
| R-4.5-mac | OK | Apr 01 2025 |
| R-4.5-linux | OK | Apr 01 2025 |
| R-4.4-win | OK | Apr 01 2025 |
| R-4.4-mac | OK | Apr 01 2025 |
| R-4.4-linux | OK | Apr 01 2025 |
| R-4.3-win | OK | Apr 01 2025 |
| R-4.3-mac | OK | Apr 01 2025 |
Dependencies:abindashbitopsbootcAIC4cliclustercolorspacecpp11crayondeSolvediagonalsdistributionaldplyrfansifarverfdafdsFNNforcatsgamm4genericsggdistggplot2ggrepelgluegridExtragrpreggtablehdrcdeHLMdiaghmsisobandjanitorkernlabKernSmoothkslabelinglatticelifecyclelme4lmeresamplerlocfitlseilubridatemagicmagrittrMASSMatrixmclustmgcvminqamulticoolmunsellmvtnormnlmenlmeUnloptrnumDerivpbspcaPPpillarpkgconfigplyrpracmaprettyunitsprogresspurrrquadprogR6rainbowrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRCurlRdpackreformulasrefundreshape2RfastrlangRLRsimscalessnakecasestatmodstringistringrtibbletidyrtidyselecttimechangeutf8vctrsviridisLitewithrzigg
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Create crossterms from two matrices | all_crossterms |
| Estimate non-negative diagonal terms on G matrix | cov_nnls |
| Fast Univariate Inference for Longitudinal Functional Models | fui |
| Estimate covariance of random components G(s1, s2) | G_estimate |
| Special case of estimating covariance of random components G(s1, s2) | G_estimate_randint |
| Creates the design matrix that allows for estimation of G | G_generate |
| Default FUI plotting | plot_fui |
| pspline.setting.R from refund | pspline_setting |
| select_knots.R from refund package | select_knots |
| Fit a univariate mixed model | unimm |