Single-curve fitting | Screening working variance models | Grouped analyses | Clustered repeated measurements | Simulation
Package: inferMM 0.0.3
inferMM: 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>.
Authors:
inferMM_0.0.3.tar.gz
inferMM_0.0.3.zip(r-4.7-any)inferMM_0.0.3.zip(r-4.6-any)inferMM_0.0.3.zip(r-4.5-any)
inferMM_0.0.3.tgz(r-4.6-any)inferMM_0.0.3.tgz(r-4.5-any)
inferMM_0.0.3.tar.gz(r-4.7-any)inferMM_0.0.3.tar.gz(r-4.6-any)
inferMM_0.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
inferMM/json (API)
| # Install 'inferMM' in R: |
| install.packages('inferMM', repos = c('https://mijeong-kim.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mijeong-kim/infermm/issues
Datasets:
- alves_demo - Subset of the Alves Soil Enzyme Kinetics Data
- sdl_demo - Self-Driving Laboratory Michaelis-Menten Demo Data
Last updated from:c5b9905f05. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 111 | ||
| source / vignettes | OK | 166 | ||
| linux-release | OK | 106 | ||
| macos-release | OK | 166 | ||
| macos-oldrel | OK | 196 | ||
| windows-devel | OK | 82 | ||
| windows-release | OK | 83 | ||
| windows-oldrel | OK | 84 | ||
| wasm-release | OK | 75 |
Exports:cluster_mmfit_mmgroup_mmreport_mmscreen_mmsimulate_mm_datavariance_function
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| inferMM: Variance-Aware Michaelis-Menten Estimation and Inference | inferMM-package inferMM |
| Subset of the Alves Soil Enzyme Kinetics Data | alves_demo |
| Fit a Cluster-Aware Michaelis-Menten Model | cluster_mm coef.cluster_mm confint.cluster_mm plot.cluster_mm predict.cluster_mm print.cluster_mm print.summary.cluster_mm summary.cluster_mm vcov.cluster_mm |
| Fit a Variance-Aware Michaelis-Menten Model | coef.fit_mm confint.fit_mm fit_mm plot.fit_mm predict.fit_mm print.fit_mm print.summary.fit_mm summary.fit_mm vcov.fit_mm |
| Fit Multiple Michaelis-Menten Curves by Group | group_mm plot.group_mm print.group_mm |
| Print and Plot a Michaelis-Menten Fit | report_mm |
| Screen Working Variance Models | print.screen_mm screen_mm |
| Self-Driving Laboratory Michaelis-Menten Demo Data | sdl_demo |
| Simulate Michaelis-Menten Data | simulate_mm_data |
| Create Working Variance Functions | variance_function |