inferMM-package: inferMM: Variance-Aware Michaelis-Menten Estimation and...
In inferMM: Variance-Aware Michaelis-Menten Estimation and Inference
inferMM-package R Documentation
inferMM: Variance-Aware Michaelis-Menten Estimation and Inference
Description
The inferMM package provides variance-aware tools for Michaelis-Menten
estimation, clustered repeated-measurement analysis, model screening, grouped
curve analysis, simulation, and prediction.
Single-curve fits and grouped screening accept user-defined fixed positive
variance functions in addition to the built-in variance shapes.
An optional higher-moment estimator fits independent curves using working
skewness and kurtosis, with joint sandwich or model-based covariance.
Details
The package focuses on enzyme-kinetic settings where measurement variability may
increase with substrate concentration, making standard homoscedastic nonlinear
least squares inadequate for interval estimation and uncertainty quantification.
See Also
fit_mm, fit_mm_moments,
cluster_mm, report_mm,
screen_mm, group_mm,
simulate_mm_data, variance_function
inferMM documentation built on Oct. 30, 2026, 9:06 a.m.
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| inferMM-package | R Documentation |
inferMM: Variance-Aware Michaelis-Menten Estimation and Inference
Description
The inferMM package provides variance-aware tools for Michaelis-Menten estimation, clustered repeated-measurement analysis, model screening, grouped curve analysis, simulation, and prediction. Single-curve fits and grouped screening accept user-defined fixed positive variance functions in addition to the built-in variance shapes. An optional higher-moment estimator fits independent curves using working skewness and kurtosis, with joint sandwich or model-based covariance.
Details
The package focuses on enzyme-kinetic settings where measurement variability may increase with substrate concentration, making standard homoscedastic nonlinear least squares inadequate for interval estimation and uncertainty quantification.
See Also
fit_mm, fit_mm_moments,
cluster_mm, report_mm,
screen_mm, group_mm,
simulate_mm_data, variance_function
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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