Package: shieldR 0.6.0

R. Heller

shieldR: Logistics Chain Simulation under Dynamic Challenges

A research implementation of a fixed five-leg logistics chain with time-varying item specifications, imperfect observations, finite transport resources, route-risk learning, and static or adaptive disruptions. Supports reproducible allocation-rule comparisons, optional item-condition and processing models, and paired disruptions-disabled experiments. Includes synthetic teaching scenarios and nonparametric analysis helpers. The model and its decision heuristics require application-specific validation.

Authors:R. Heller [aut, cre]

shieldR_0.6.0.tar.gz
shieldR_0.6.0.zip(r-4.7-any)shieldR_0.6.0.zip(r-4.6-any)shieldR_0.6.0.zip(r-4.5-any)
shieldR_0.6.0.tgz(r-4.6-any)shieldR_0.6.0.tgz(r-4.5-any)
shieldR_0.6.0.tar.gz(r-4.7-any)shieldR_0.6.0.tar.gz(r-4.6-any)
shieldR_0.6.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
shieldR/json (API)

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

Bug tracker:https://github.com/cttir/shieldr/issues

On CRAN:

Conda:

3.65 score 3 scripts 18 exports 0 dependencies

Last updated from:4ae5b48156. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK140
source / vignettesOK202
linux-releaseOK140
macos-releaseOK152
macos-oldrelOK129
windows-develOK98
windows-releaseOK94
windows-oldrelOK108
wasm-releaseOK92

Exports:adjust_fdrbootstrap_statisticcalibrate_item_modelcompare_interventioncompare_multiplecompare_policieseffect_magnitudeexample_scenariomann_whitney_ureplication_seedsshield_appshield_parameterssimulate_item_referencesimulate_replicationsimulate_shieldsummarize_shieldwith_decision_controlswith_item_model

Dependencies:

Explore and reproduce experiments in the Shiny workbench
Launch locally | A first experiment | Configure the graph and assumptions | Choose the comparison design | Read each view together with its limitations | Export an experiment you can replay | Move a larger experiment into scripts
Rendered frominteractive-exploration.Rmdusingknitr::rmarkdown

Last update: 2026-10-28
Started: 2026-10-14

Getting started with shieldR
Your first experiment | Interpret the endpoints | Construct an explicit scenario | Time-varying logistics-item specifications | Compare designs explicitly | Save results with provenance | Troubleshooting | Session information
Rendered fromgetting-started.Rmdusingknitr::rmarkdown

Last update: 2026-10-28
Started: 2026-10-14

Study design, inference and reproducibility
Define the experiment before looking at outcomes | Run independent policy arms | Report nonparametric comparisons in full | Declare the complete FDR family | More than two arms | Paired disruptions-disabled intervention | Preserve missing outcomes and replay the experiment | Replay one batch or distribute a fixed schedule | Save the complete request
Rendered fromstudy-design.Rmdusingknitr::rmarkdown

Last update: 2026-10-28
Started: 2026-10-14