Package: warpMix 0.1.0
Emilie Devijver
warpMix: Mixed Effects Modeling with Warping for Functional Data Using B-Spline
Mixed effects modeling with warping for functional data using B- spline. Warping coefficients are considered as random effects, and warping functions are general functions, parameters representing the projection onto B- spline basis of a part of the warping functions. Warped data are modelled by a linear mixed effect functional model, the noise is Gaussian and independent from the warping functions.
Authors:
warpMix_0.1.0.tar.gz
warpMix_0.1.0.tar.gz(r-4.5-noble)warpMix_0.1.0.tar.gz(r-4.4-noble)
warpMix_0.1.0.tgz(r-4.4-emscripten)warpMix_0.1.0.tgz(r-4.3-emscripten)
warpMix.pdf |warpMix.html✨
warpMix/json (API)
| # Install 'warpMix' in R: |
| install.packages('warpMix', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:156fe1cb94. Checks:1 OK, 1 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Feb 15 2025 |
| R-4.5-linux | NOTE | Feb 15 2025 |
Exports:warpMixwarpTimeFunction
Dependencies:ashbitopsbootcliclustercolorspacedeSolvedotCall64fansifarverfdafdsfieldsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelme4locfitmagrittrmapsMASSMatrixmclustmgcvminqamulticoolmunsellmvtnormnlmenloptrpcaPPpillarpkgconfigplyrpracmaR6rainbowrbibutilsRColorBrewerRcppRcppEigenRCurlRdpackreformulasreshape2rlangscalesspamstringistringrtibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Compute the empirical L_2 distance related to the warping function. | criterion |
| Estimate the warping parameters. | estimationTheta |
| Initialize the functional parameters (associated to the aligned curves). | initialisationPara |
| Initialize the warping parameters. | initialisationTheta |
| Update the functional parameters (associated to the aligned curves). | majPara |
| Predict the warping parameters. | predictionTheta |
| Estimate the non linear mixed effect functional model. | warpMix |
| Compute the warped time points | warpTimeFunction |