The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
lme4: Linear Mixed-Effects Models using 'Eigen' and S4
Abstract
Fit linear and generalized linear mixed-effects models. The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the 'Eigen' C++ library for numerical linear algebra and 'RcppEigen' "glue".
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Citations
Cites
Fitting Linear Mixed-Effects Models Using lme4
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015) · Journal of Statistical Software · doi:10.18637/jss.v067.i01 · Cited by 86,835
Self-citationRandom effects structure for confirmatory hypothesis testing: Keep it maximal
Barr, D. J., Levy, R., Scheepers, C., & Tily, H. J. (2013) · Journal of Memory and Language · doi:10.1016/j.jml.2012.11.001 · Cited by 10,328
Random-Effects Models for Longitudinal Data
Laird, N. M., & Ware, J. H. (1982) · Biometrics · doi:10.2307/2529876 · Cited by 8,923
A Nondegenerate Penalized Likelihood Estimator for Variance Parameters in Multilevel Models
Chung, Y., Rabe-Hesketh, S., Dorie, V., Gelman, A., & Liu, J. (2013) · Psychometrika · doi:10.1007/s11336-013-9328-2 · Cited by 554
A note on Gauss—Hermite quadrature
LIU, Q., & PIERCE, D. A. (1994) · Biometrika · doi:10.1093/biomet/81.3.624 · Cited by 415
Analysis of aggregation, a worked example: numbers of ticks on red grouse chicks
ELSTON, D. A., MOSS, R., BOULINIER, T., ARROWSMITH, C., & LAMBIN, X. (2001) · Parasitology · doi:10.1017/s0031182001007740 · Cited by 409
Banta, J. A., Stevens, M. H. H., & Pigliucci, M. (2010) · Oikos · doi:10.1111/j.1600-0706.2009.17726.x · Cited by 41
Cited by
Harrison, X. A. (2014) · PeerJ · doi:10.7717/peerj.616 · Cited by 1,150
Stowell, D., & Plumbley, M. D. (2014) · PeerJ · doi:10.7717/peerj.488 · Cited by 295
Sahdra, B. K., Ciarrochi, J., Parker, P. D., Marshall, S., & Heaven, P. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00263 · Cited by 128
Text analysis tools for identification of emerging topics and research gaps in conservation science
Westgate, M. J., Barton, P. S., Pierson, J. C., & Lindenmayer, D. B. (2015) · Conservation Biology · doi:10.1111/cobi.12605 · Cited by 123
Social context-dependent relationships between mouse dominance rank and plasma hormone levels
Williamson, C. M., Lee, W., Romeo, R. D., & Curley, J. P. (2017) · Physiology & Behavior · doi:10.1016/j.physbeh.2016.12.038 · Cited by 120
Metadata
- Authors
- Bates, D., Maechler, M., Bolker, B., & Walker, S.
- Venue
- CRAN: Contributed Packages
- Publisher
- The R Foundation
- Published
- 2003-06-25
- OpenAlex
- W4399638940
- Cited by
- 2,385
- References
- 7
- Type
- dataset
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.