Fast Functional Mixed Models using Fast Univariate Inference
Create crossterms from two matrices
Estimate non-negative diagonal terms on G matrix
Fast Univariate Inference for Longitudinal Functional Models
Special case of estimating covariance of random components G(s1, s2)
Estimate covariance of random components G(s1, s2)
Creates the design matrix that allows for estimation of G
Default FUI plotting
pspline.setting.R from refund
select_knots.R from refund package
Fit a univariate mixed model
Implementation of the fast univariate inference approach (Cui et al. (2022) <doi:10.1080/10618600.2021.1950006>, Loewinger et al. (2024) <doi:10.7554/eLife.95802.2>) for fitting functional mixed models. User guides and Python package information can be found at <https://github.com/gloewing/photometry_FLMM>.