Linear Mixed-Effects Models using 'Eigen' and S4
By Douglas Bates, M. Maechler, Ben Bolker, Steven C. Walker. 2015
4,519 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/801f3bff6bdaf9f533acdcc18ea04345fa1272d1
Citations in the corpus
- What Predicts Positive Life Events that Influence the Course of Depression? A Longitudinal Examination of Gratitude and Meaning in Life (2017, unknown): “The R packages ‘‘lme4’’, ‘‘lmerTest’’ and ‘‘mediation’’ were all used to conduct the following statistical analyses (Bates et al. 2015; Kuznetsova et al. 2015; Tingley et al. 2014).”
- Asynchronous Carbon Sink Saturation in African and Amazonian Tropical Forests (2020, unknown): “…(in mm yr -1 ), we selected an optimum period over which to calculate the change, derived empirically by assessing the correlation of carbon gains (all plots, all censuses) with the change in each environmental variable, using linear mixed effects models (lmer function in R, lme4 package 72 ).”
- Long‐Term Studies Contribute Disproportionately to Ecology and Policy (2017, unknown): “We used a generalized linear mixed effects model to examine the effect of study year and ecosystem on log-transformed study duration in NRC report citations, treating NRC report as a random effect (lme4 and lmerTest packages in R) (Bates 2014, Kuznetsova 2015).”
- Chemistry of floral rewards: intra- and interspecific variability of nectar and pollen secondary metabolites across taxa (2018, unknown): “1 (Bates et al. 2015), 286 to compare absolute chemical concentrations of each chemical class in nectar and pollen.”