Package: picMort 0.1.1

Max Moldovan

picMort: Reproducible Pediatric ICU Mortality Benchmark on PIC V1.1.0

Tools and pipelines for a calibration-first pediatric ICU mortality benchmark on the open-access PIC v1.1.0 database. Authoritative cohort specification, T+24h prediction-window feature extraction, PIM3 reconstruction, calibration and decision-curve evaluation. The package is the methodological substrate for the companion manuscript, illustrated end to end in a worked vignette.

Authors:Max Moldovan [aut, cre], Usman Iqbal [aut, ths]

picMort_0.1.1.tar.gz
picMort_0.1.1.zip(r-4.7-any)picMort_0.1.1.zip(r-4.6-any)picMort_0.1.1.zip(r-4.5-any)
picMort_0.1.1.tgz(r-4.6-any)picMort_0.1.1.tgz(r-4.5-any)
picMort_0.1.1.tar.gz(r-4.7-any)picMort_0.1.1.tar.gz(r-4.6-any)
picMort_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
picMort/json (API)

# Install 'picMort' in R:
install.packages('picMort', repos = c('https://max578.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/max578/picmort/issues

On CRAN:

Conda:

3.48 score 22 exports 75 dependencies

Last updated from:f95941a150 (on main). Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE193
source / vignettesOK281
linux-release-x86_64NOTE195
macos-release-arm64NOTE97
macos-oldrel-arm64NOTE84
windows-develNOTE107
windows-releaseNOTE106
windows-oldrelNOTE117
wasm-releaseOK204

Exports:assert_cohort_invariantsaudit_no_leakagebuild_cohortbuild_featurescalibration_suitecohort_attritioncompute_pim3decision_curvedefault_recipediscrimination_metricsfit_bayes_horseshoefit_elastic_netfit_xgboosticd10_to_chaptermake_train_test_splitpic_pathspim3_face_validitypim3_risk_groupplot_calibrationplot_decision_curvepredict_mortalitysubgroup_performance

Dependencies:classcliclockcodetoolscpp11data.tablediagramdigestdplyrfarverforeachfsfurrrfuturefuture.applygenericsggplot2glmnetglobalsgluegowergtablehardhatipredisobanditeratorsjsonliteKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixnnetnumDerivparallellypillarpkgconfigprodlimprogressrpurrrR6RColorBrewerRcppRcppEigenrecipesrlangrpartrprojrootrsampleS7scalesshapeslidersparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewarpwithrxgboost

Calibration-first pipeline --- toy-cohort illustration
What this vignette demonstrates | Stage 1 --- load the toy cohort | Stage 2 --- build a small illustrative feature matrix | Stage 3 --- stratified train / test split | Stage 4 --- fit the three models | Stage 5 --- predict on the held-out fold | Stage 6 --- evaluation (the manuscript headline) | Calibration headline | Decision-curve net benefit at clinically relevant thresholds | Discrimination (supporting) | How this maps to the manuscript
Rendered frompaper1_baseline.Rmdusingknitr::rmarkdown

Last update: 2026-05-25
Started: 2026-05-17

Cohort specification --- the canonical study cohort
Status | Data source | Unit of analysis | Inclusion criteria | Exclusion criteria | Outcome | Prediction window | Variable contract | Splits and resampling | Invariants (executable contract) | Reproducibility | Out of scope | Reporting | Pedagogy (D5 default --- balanced) | Changelog
Rendered fromcohort_spec.Rmdusingknitr::rmarkdown

Last update: 2026-05-25
Started: 2026-05-17