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HeterFunctionalData (version 0.1.0)

Test of No Main and/or Interaction Effects in Functional Data

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) .

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Version

Install

install.packages('HeterFunctionalData')

Monthly Downloads

135

Version

0.1.0

License

GPL-2

Maintainer

Haiyan Wang

Last Published

August 20th, 2020

Functions in HeterFunctionalData (0.1.0)

taufun

An intermediate function to calculate the partial sums
tcontrast

Test of no contrast effect of the treatments
cov_squared_jackknife

Jackknife estimate of the squared covariance between two time points
sigma4bootstrap

Bootstrap estimate of $sigma^4$ using an i.i.d. sample
CF

Classical F test for mixed effects model
fun.sigijj12

Unbiased estimate of $sigma_ijj1^2$
dataformat_wide_to_long

Convert data from wide format to long format
eu

A function to calaculate cell residues.
sigma4jackknife

Jackknife estimate of $sigma^4$ using an i.i.d. sample
NorRanGen

Generate a vector of random effects with specific correlation structure and given variance
sigma4

Unbiased estimate of squared variance $sigma^4$ based on U-statistic of an i.i.d. sample
Heter.test

Heteroscedastic test for functional data