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

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

## Documentation for package ‘HeterFunctionalData’ version 1.0

- DESCRIPTION file.

## Help Pages

CF | Classical F test for mixed effects model
cov_squared_jackknife | Jackknife estimate of the squared covariance between two time points
dataformat_wide_to_long | Convert data from wide format to long format
eu | A function to calaculate cell residues.
fun.sigijj12R | Unbiased estimate of sigma_ijj1^2 and sigma_ijj*sigma_ij1j1 calculated in R
Heter.test | Heteroscedastic test for functional data
NorRanGen | Generate a vector of random effects with specific correlation structure and given variance
sigijj12C | Unbiased estimate of sigma_ijj1^2 and sigma_ijj*sigma_ij1j1 using C routine
sigma4 | Unbiased estimate of squared variance sigma^4 using C routine
sigma4bootstrap | Bootstrap estimate of sigma^4 using an i.i.d. sample
sigma4jackknife | Jackknife estimate of sigma^4 using an i.i.d. sample
sigma4R | Unbiased estimate of squared variance sigma^4 based on U-statistic of an i.i.d. sample
taufun | An intermediate function to calculate the partial sums
tcontrast | Test of no contrast effect of the treatments