Variance-Aware Michaelis-Menten Estimation and Inference // Variance-aware Michaelis-Menten estimation, model screening, grouped enzyme-kinetic analyses, and clustered repeated- measurement workflows. The package implements profile-score estimators under working variance functions, together with a lightweight cluster-aware working-covariance extension, Wald and bootstrap confidence intervals, prediction utilities, and simulation helpers. Related methodology is discussed by Kim and Ma (2012) doi:10.1007/s10463-011-0332-y, Kim (2023) doi:10.1002/sta4.606, and Ma and Genton (2010) doi:10.1111/j.1467-9868.2010.00741.x.