gamm4
R package gamm4: Generalized additive mixed models using mgcv and lme4. Fit generalized additive mixed models via a version of mgcv’s gamm function, using lme4 for estimation.
Keywords for this software
References in zbMATH (referenced in 5 articles )
Showing results 1 to 5 of 5.
Sorted by year (- Gertheiss, Jan; Goldsmith, Jeff; Staicu, Ana-Maria: A note on modeling sparse exponential-family functional response curves (2017)
- Groll, Andreas; Tutz, Gerhard: Variable selection in discrete survival models including heterogeneity (2017)
- Cuny, Henri E.; Kiessé, Tristan Senga: On modeling wood formation using parametric and semiparametric regressions for count data (2016)
- Douglas Bates; Martin Mächler; Ben Bolker; Steve Walker: Fitting Linear Mixed-Effects Models Using lme4 (2015) not zbMATH
- Gałecki, Andrzej; Burzykowski, Tomasz: Linear mixed-effects models using R. A step-by-step approach (2013)