Non-linear mixed-effects modeling software is a type of statistical software used to analyze data where the relationships among variables are not linear and where both fixed effects (parameters associated with an entire population) and random effects (parameters that vary among individuals or groups) are present. These models are particularly useful in fields such as pharmacometrics, ecology, and clinical research, where data may be hierarchical or subject to individual variability.

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