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
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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'))

Datasets:

SEMSample - Sample Data for SEM

On CRAN:

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

1.00 score 180 downloads 1 exports 0 dependencies

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

Target	Result	Date
Doc / Vignettes	OK	Nov 12 2024
R-4.5-win	OK	Nov 12 2024
R-4.5-linux	OK	Nov 12 2024
R-4.4-win	OK	Nov 12 2024
R-4.4-mac	OK	Nov 12 2024
R-4.3-win	OK	Nov 12 2024
R-4.3-mac	OK	Nov 12 2024