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-4.7)SEofM_0.1.0.zip(r-4.6)SEofM_0.1.0.zip(r-4.5)
SEofM_0.1.0.tgz(r-4.6-any)SEofM_0.1.0.tgz(r-4.5-any)
SEofM_0.1.0.tar.gz(r-4.7-any)SEofM_0.1.0.tar.gz(r-4.6-any)
SEofM_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 201 downloads 1 exports 0 dependencies

Last updated from:3ee2c38be0. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	99
source / vignettes	OK	133
linux-release-x86_64	OK	93
macos-release-arm64	OK	115
macos-oldrel-arm64	OK	76
windows-devel	OK	69
windows-release	OK	61
windows-oldrel	OK	57
wasm-release	OK	78