Package: HeterFunctionalData 0.1.0
Haiyan Wang
HeterFunctionalData: Test of No Main and/or Interaction Effects in Functional Data
Distribution free heteroscedastic tests for functional data. The following tests are included in this package: test of no main treatment or contrast effect and no simple treatment effect given in Wang, Higgins, and Blasi (2010) <doi:10.1016/j.spl.2009.11.016>, no main time effect, and no interaction effect based on original observations given in Wang and Akritas (2010a) <doi:10.1080/10485250903171621> and tests based on ranks given in Wang and Akritas (2010b) <doi:10.1016/j.jmva.2010.03.012>.
Authors:
HeterFunctionalData_0.1.0.tar.gz
HeterFunctionalData_0.1.0.tar.gz(r-4.5-noble)HeterFunctionalData_0.1.0.tar.gz(r-4.4-noble)
HeterFunctionalData_0.1.0.tgz(r-4.4-emscripten)HeterFunctionalData_0.1.0.tgz(r-4.3-emscripten)
HeterFunctionalData.pdf |HeterFunctionalData.html✨
HeterFunctionalData/json (API)
| # Install 'HeterFunctionalData' in R: |
| install.packages('HeterFunctionalData', 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 4 years agofrom:3fa5ac9d50. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 31 2024 |
| R-4.5-linux | NOTE | Oct 31 2024 |
Exports:dataformat_wide_to_longHeter.testNorRanGensigma4sigma4bootstrapsigma4jackknifetcontrast
Dependencies:
