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HeterFunctionalData  

Test of No Main and/or Interaction Effects in Functional Data
View on CRAN: Click here


Download and install HeterFunctionalData package within the R console
Install from CRAN:
install.packages("HeterFunctionalData")

Install from Github:
library("remotes")
install_github("cran/HeterFunctionalData")

Install by package version:
library("remotes")
install_version("HeterFunctionalData", "0.1.0")



Attach the package and use:
library("HeterFunctionalData")
Maintained by
Haiyan Wang
[Scholar Profile | Author Map]
First Published: 2020-08-20
Latest Update: 2020-08-20
Description:
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) , no main time effect, and no interaction effect based on original observations given in Wang and Akritas (2010a) and tests based on ranks given in Wang and Akritas (2010b) .
How to cite:
Haiyan Wang (2020). HeterFunctionalData: Test of No Main and/or Interaction Effects in Functional Data. R package version 0.1.0, https://cran.r-project.org/web/packages/HeterFunctionalData. Accessed 05 May. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited HeterFunctionalData R package
View HeterFunctionalData citation profile
Other R packages that HeterFunctionalData depends, imports, suggests or enhances
Complete documentation for HeterFunctionalData
Functions, R codes and Examples using the HeterFunctionalData R package
Some associated functions: CF . Heter.test . NorRanGen . cov_squared_jackknife . dataformat_wide_to_long . eu . fun.sigijj12 . sigma4 . sigma4bootstrap . sigma4jackknife . taufun . tcontrast . 
Some associated R codes: functions.R .  Full HeterFunctionalData package functions and examples
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