Package: MCID 0.1.0

Zehua Zhou

MCID: Estimating the Minimal Clinically Important Difference

Apply the marginal classification method to achieve the purpose of providing the point and interval estimates for the minimal clinically important difference based on the classical anchor-based method. For more details of the methodology, please see Zehua Zhou, Leslie J. Bisson and Jiwei Zhao (2021) <arxiv:2108.11589>.

Authors:Zehua Zhou [cre, aut], Jiwei Zhao [aut]

MCID_0.1.0.tar.gz
MCID_0.1.0.zip(r-4.7-any)MCID_0.1.0.zip(r-4.6-any)
MCID_0.1.0.tar.gz(r-4.7-any)MCID_0.1.0.tar.gz(r-4.6-any)
MCID_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MCID/json (API)

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

On CRAN:

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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.70 score 1 stars 1 scripts 207 downloads 148 mentions 4 exports 0 dependencies

Last updated from:7c18ee2658. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK118
source / vignettesOK187
linux-releaseOK106
windows-develOK57
windows-releaseOK56
wasm-releaseOK103

Exports:cv.imcidcv.pmcidimcidpmcid

Dependencies: