Package: SEofM 0.1.0

SEofM: Standard Error of Measurement

To calculate the standard error of measurement (SEM) to assess the observer variability (inter- and intra-observer variation). The methods used in this package are referenced from Zoran B. Popović (2017) <doi:10.21037/cdt.2017.03.12>.

Authors:Zhicheng Du [aut, cre, cph], Yuantao Hao [aut]

SEofM_0.1.0.tar.gz
SEofM_0.1.0.zip(r-4.5)SEofM_0.1.0.zip(r-4.4)SEofM_0.1.0.zip(r-4.3)
SEofM_0.1.0.tgz(r-4.4-any)SEofM_0.1.0.tgz(r-4.3-any)
SEofM_0.1.0.tar.gz(r-4.5-noble)SEofM_0.1.0.tar.gz(r-4.4-noble)
SEofM_0.1.0.tgz(r-4.4-emscripten)SEofM_0.1.0.tgz(r-4.3-emscripten)
SEofM.pdf |SEofM.html
SEofM/json (API)

# Install 'SEofM' in R:
install.packages('SEofM', repos = c('https://marsdu1989.r-universe.dev', 'https://cloud.r-project.org'))

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

1 exports 0.00 score 0 dependencies 231 downloads

Last updated 3 years agofrom:3ee2c38be0. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 13 2024
R-4.5-winOKSep 13 2024
R-4.5-linuxOKSep 13 2024
R-4.4-winOKSep 13 2024
R-4.4-macOKSep 13 2024
R-4.3-winOKSep 13 2024
R-4.3-macOKSep 13 2024

Exports:SEM

Dependencies: