Nonlinear mixed-effects model

Nonlinear mixed-effects models constitute a class of statistical models generalizing linear mixed-effects models. Like linear mixed-effects models, they are particularly useful in settings where there are multiple measurements within the same statistical units or when there are dependencies between measurements on related statistical units. Nonlinear mixed-effects models are applied in many fields including medicine, public health, pharmacology, and ecology.^[1]^[2]

^ Pinheiro, J; Bates, DM (2006). Mixed-effects models in S and S-PLUS. Statistics and Computing. New York: Springer Science & Business Media. doi:10.1007/b98882. ISBN 0-387-98957-9.
^ Bolker, BM (2008). Ecological models and data in R. Princeton University Press. {{cite book}}: |website= ignored (help)

[pinheiro_bates2006-1] Pinheiro, J; Bates, DM (2006). Mixed-effects models in S and S-PLUS. Statistics and Computing. New York: Springer Science & Business Media. doi:10.1007/b98882. ISBN 0-387-98957-9.

[2] Bolker, BM (2008). Ecological models and data in R. Princeton University Press. {{cite book}}: |website= ignored (help)

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