Package: r4subscore 0.4.0

Pawan Rama Mali

r4subscore: Submission Confidence Index Engine

Converts standardized R4SUB (Ready for Submission) evidence into indicator scores, pillar scores, and a Submission Confidence Index (SCI). Provides sensitivity analysis, explainability tables, and decision band classification to answer the question: are we ready for regulatory submission.

Authors:Pawan Rama Mali [aut, cre, cph]

r4subscore_0.4.0.tar.gz
r4subscore_0.4.0.zip(r-4.7-any)r4subscore_0.4.0.zip(r-4.6-any)r4subscore_0.4.0.zip(r-4.5-any)
r4subscore_0.4.0.tgz(r-4.6-any)r4subscore_0.4.0.tgz(r-4.5-any)
r4subscore_0.4.0.tar.gz(r-4.7-any)r4subscore_0.4.0.tar.gz(r-4.6-any)
r4subscore_0.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
r4subscore/json (API)

# Install 'r4subscore' in R:
install.packages('r4subscore', repos = c('https://r4sub.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/r4sub/r4subscore/issues

Pkgdown/docs site:https://r4sub.github.io

On CRAN:

Conda:

5.61 score 1 packages 272 downloads 20 exports 18 dependencies

Last updated from:7abf45b094. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK170
source / vignettesOK172
linux-releaseOK176
macos-releaseOK204
macos-oldrelOK178
windows-develOK114
windows-releaseOK63
windows-oldrelOK102
wasm-releaseOK108

Exports:classify_bandcompute_indicator_scorescompute_pillar_scorescompute_sciconformance_findingsformat_sci_ciindicator_contributionssci_confidence_intervalsci_config_defaultsci_degradation_curvesci_diffsci_explainsci_gap_to_targetsci_monotone_checksci_reportsci_sensitivity_analysissci_snapshotsci_snapshot_historysci_targetssci_what_if

Dependencies:clidplyrgenericsgluejsonlitelifecyclemagrittrpillarpkgconfigr4subcoreR6rlangtibbletidyselectutf8vctrswithrxml2

Submission Confidence Index (SCI) Scoring
Default configuration | Decision bands | Building example evidence | Computing pillar scores | Computing the SCI | Detailed explanation | Sensitivity analysis | Custom weights | Confidence intervals | Critical findings cap the band | Tracking readiness over time
Rendered fromsci-scoring.Rmdusingknitr::rmarkdown

Last update: 2026-08-04
Started: 2026-03-16

Case study: scoring a CDISC pilot for submission readiness
The evidence | The score | Where the score comes from | Is the score stable? | What this answers
Rendered fromcase-study-cdisc-pilot.Rmdusingknitr::rmarkdown

Last update: 2026-08-04
Started: 2026-08-04

Validating the Submission Confidence Index
What can and cannot be validated | A worked evidence table | Construct validity: the score responds to degradation | Discriminant validity: clean and broken packages separate | Concurrent validity: agreement with an independent count | Robustness: stability under alternative weights | A calibration finding | The limit of this validation | What a predictive study would need
Rendered fromsci-validation.Rmdusingknitr::rmarkdown

Last update: 2026-07-27
Started: 2026-07-27