Package: pharmax.ml 0.3.0.9000

Malek Okour
pharmax.ml: R-Native Machine Learning Helpers for Pharmacometrics
R-native machine learning helpers for exploratory pharmacometric workflows. Includes covariate screening, conformal prediction intervals, explainability helpers, data quality checks, ensemble summaries, synthetic benchmarks, calibration summaries, and bounded evidence summaries.
Authors:
pharmax.ml_0.3.0.9000.tar.gz
pharmax.ml_0.3.0.9000.zip(r-4.7)pharmax.ml_0.3.0.9000.zip(r-4.6)pharmax.ml_0.3.0.9000.zip(r-4.5)
pharmax.ml_0.3.0.9000.tgz(r-4.6-any)pharmax.ml_0.3.0.9000.tgz(r-4.5-any)
pharmax.ml_0.3.0.9000.tar.gz(r-4.7-any)pharmax.ml_0.3.0.9000.tar.gz(r-4.6-any)
pharmax.ml_0.3.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
pharmax.ml/json (API)
NEWS
| # Install 'pharmax.ml' in R: |
| install.packages('pharmax.ml', repos = c('https://pharmax-org.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pharmax-org/pharmax/issues
Last updated from:ec769714bb. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 149 | ||
| source / vignettes | OK | 179 | ||
| linux-release-x86_64 | OK | 126 | ||
| macos-release-arm64 | OK | 117 | ||
| macos-oldrel-arm64 | OK | 89 | ||
| windows-devel | OK | 94 | ||
| windows-release | OK | 72 | ||
| windows-oldrel | OK | 87 | ||
| wasm-release | OK | 133 |
Exports:px_benchmark_covariatepx_bootstrap_uqpx_calibrate_conformalpx_conformalpx_covariatepx_data_qualitypx_ensemblepx_explainpx_ml_reportpx_simulate_covariates
Dependencies:clicodetoolscpp11dplyrfarverforeachgenericsggplot2glmnetgluegtableisobanditeratorslabelinglatticelifecyclemagrittrMatrixpillarpkgconfigpurrrR6rangerRColorBrewerRcppRcppEigenrlangS7scalesshapesurvivaltibbletidyselectutf8vctrsviridisLitewithr
Benchmarking ML Covariate Screening With Synthetic PK Parameters
Rendered frombenchmarking-covariate-screening.Rmdusingknitr::rmarkdownon May 27 2026.Last update: 2026-05-27
Started: 2026-05-27
ML Covariate Screening With Synthetic PK Parameters
Rendered fromml-covariate-screening.Rmdusingknitr::rmarkdownon May 27 2026.Last update: 2026-05-27
Started: 2026-05-27
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Plot conformal calibration intervals | plot.pharmax_conformal_calibration |
| Plot covariate screening results | plot.pharmax_covariate |
| Benchmark covariate screening on synthetic scenarios | px_benchmark_covariate |
| Bootstrap prediction uncertainty | px_bootstrap_uq |
| Calibrate conformal interval coverage | px_calibrate_conformal |
| Conformal prediction intervals | px_conformal |
| ML covariate screening | px_covariate |
| Assess ML data quality | px_data_quality |
| Ensemble predictions | px_ensemble |
| Explain a fitted model with permutation importance | px_explain |
| Create an ML decision-support report object | px_ml_report |
| Simulate synthetic covariate benchmark data | px_simulate_covariates |