Data wrangling and exploratory analysis for functional data.
Co-author R-package refund: pffr(): Penalized additive regression for functional and scalar covariates and functional responses.
Bayesian variable selection, model choice, and regularized estimation for (spatial) generalized additive mixed regression models via SSVS (stochastic search variable selection) with spike-and-slab priors.
Using lme4 to fit generalized additive mixed models. (This package was retired form CRAN since newer versions of lme4 (>0.999375-42) no longer offer a compatible interface.)
Locally adaptive Bayesian P-Splines with Normal-Exponential-Gamma priors for Gaussian, Binomial and Poisson responses.
package source, Windows binary
implementing exact (Restricted) Likelihood Ratio Tests for variance components and nonparametric terms,
with interfaces for models fit with nlme::lme(), lme4::lmer(), mgcv::gamm() or SemiPar:spm().
Co-author R-package pammtools:
Piece-wise exponential additive mixed model tools.
Contributions to R-package dlnm:
Functions for distributed lag linear and non-linear models.