Package: rsem 0.5.1

rsem: Robust Structural Equation Modeling with Missing Data and Auxiliary Variables

A robust procedure is implemented to estimate means and covariance matrix of multiple variables with missing data using Huber weight and then to estimate a structural equation model.

Authors:Ke-Hai Yuan and Zhiyong Zhang

rsem_0.5.1.tar.gz
rsem_0.5.1.zip(r-4.7)rsem_0.5.1.zip(r-4.6)rsem_0.5.1.zip(r-4.5)
rsem_0.5.1.tgz(r-4.6-any)rsem_0.5.1.tgz(r-4.5-any)
rsem_0.5.1.tar.gz(r-4.7-any)rsem_0.5.1.tar.gz(r-4.6-any)
rsem_0.5.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
rsem/json (API)

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

On CRAN:

Conda:

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

1.89 score 2 packages 13 scripts 390 downloads 23 exports 6 dependencies

Last updated from:1e9cd9cbb6. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK109
source / vignettesOK155
linux-release-x86_64OK115
macos-release-arm64OK80
macos-oldrel-arm64OK81
windows-develOK80
windows-releaseOK133
windows-oldrelOK62
wasm-releaseOK99

Exports:rsemrsem.Ascovrsem.DPrsem.emmusigrsem.fitrsem.gnamersem.indexrsem.indexvrsem.indexvcrsem.lavaanrsem.patternrsem.printrsem.sersem.ssqrsem.switchrsem.switch.gammarsem.vecrsem.vechrsem.weightsemdiag.call.eqssemdiag.combinationssemdiag.read.eqssemdiag.run.eqs

Dependencies:lavaanMASSmnormtnumDerivpbivnormquadprog