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ParCC

1.4.1Package record

Parameter Converter and Calculator for Health Technology Assessment

0packages depend
2.5Kdownloads / year
1.7%test coverage
13/13flavors OK

Overview

About

An interactive 'shiny' application for Health Technology Assessment (HTA) parameter estimation. Converts between rates, probabilities, odds, and hazard ratios (HR); extrapolates survival curves (Exponential, Weibull, Log-Logistic); fits probabilistic sensitivity analysis (PSA) distributions (Beta, Gamma, LogNormal, Dirichlet) via the method of moments; calculates incremental cost-effectiveness ratios (ICERs), net monetary benefit (NMB), value-based pricing, and budget impact; adjusts costs for inflation, discounting, and purchasing power parity (PPP) across 30 countries; and adjusts background mortality using life-table methods. Designed for researchers building cost-effectiveness and budget-impact models who need auditable, formula-documented parameter transformations. Methods include Zhang and Yu (1998) doi:10.1001/jama.280.19.1690 for odds ratio (OR) to relative risk (RR) conversion and Chinn (2000, Statistics in Medicine, 19, 3127-3131) for effect-size transformations.

Changes in 1.4.1

Bug Fixes

  • **NNT/NNH display** -- Now reports both the exact decimal value (1/ARR) and the ceiling-rounded integer, resolving discrepancies between ParCC output and independent Excel verification. Applies to HR Converter, standalone NNT/NNH calculator, and batch mode.
  • **Reactive UI update** -- Fixed an issue where the "How This Was Calculated" explanation text could update prematurely when input values changed, before the Calculate button was clicked. All converter modules now snapshot input values at button-click time.
  • **PSA random seed** -- Changed the PSA simulation seed from a commonly used default to an investigator-selected value (8361) to ensure reproducibility without implying AI-generated code.
Show all changes in 1.4.1Hide the rest of the changes in 1.4.1
  • **Session timeout warning** -- Added a visible warning banner on the Home page advising users to download their Lab Notebook report before leaving the tool idle, as session data is stored in server memory and lost on timeout.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 4.2 min · r-release-macos-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
Show 2 earlier changesHide 2 earlier changes
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK7 OK2026-03-31
Advisories

none known

Documentation

In release 1.4.1
READMEYes · 359 wordsVignettesYes · 14 · dynamicNEWSYes · 100% structured · mentions 1.4.1Citation fileNoWebsiteYes · pkgdown
Help pages
2 (1 internal)includes a package overview page
Examples that run
100%1 run in a plain check (under a condition)
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
100%
Help pages citing references
0%

Downloads

2.5K
CRAN downloads in the past year
Rank #11,406 · ~7/day · ~208/mo
Daily download trend is not available in this view yet.
35930 days
94190 days
2.5K1 year
Compare downloads with other packages →
Also on40 r2u2 autocran

Repository

0Stars
1Forks
0Open issues
1Open PRs
0Releases
30Commits
1Commit identities
30 commits · Last activity 2026-10-08
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
0

Forks over time

2026-07-07 · 02026-10-19 · 1
PracticesBeta

8 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/drpakhare/parcc on 2026-10-18.

Continuous integration (1)
GitHub Actions
Docs source (4)
README.Rmdpkgdown

GitHub Pages site last deployed 2026-10-08 · The repository has a site deploy workflow

pkgdown site last built 2026-10-08

CRAN release process (2)
cran-comments.mdCRAN-SUBMISSION
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)
AI coding toolsBeta

This repository shows signs of AI coding tools.

  • Claude Codefirst seen 2026-03-21
    Commits: at least 6 crediting it in the message
Models named in its commits
  • Claude Opus 4.66 commits · Mar to Jun 2026
Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

Installing ParCC adds 71 packages (38 with compiled code, 71 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (0)
none
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (8)
Author, Maintainer since 1.4.0 (2026)
Author · added in 1.4.1
Author · added in 1.4.1
Author · added in 1.4.1
Author · added in 1.4.1
Author · added in 1.4.1
Author · added in 1.4.1
Author · added in 1.4.1
Listed in earlier versions (1)
RRC-HTA Team, AIIMS Bhopal
no longer listed · 1.4.0
Releases (2)

Pick two releases to compare their code metrics.

  • 1.4.1Latest
    record
    2026-10-08 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.4.0
    record
    2026-03-30
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2026-03-30
Total releases
2 / 1 yrs
License
MIT + file LICENSE OSI
Download size
215 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ParCC")
Pakhare, A., Jain, S., Joshi, A., Joshi, B., Malhotra, A., Sachin, O., Somen, B., & Verma, S. (2026). ParCC: Parameter Converter and Calculator for Health Technology Assessment (Version 1.4.1) [Computer software]. https://doi.org/10.32614/CRAN.package.ParCC

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ParCC version 1.4.1 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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