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-any)rsem_0.5.1.zip(r-4.6-any)rsem_0.5.1.zip(r-4.5-any)
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✨
DESCRIPTION
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.

2.89 score 2 packages 13 scripts 450 downloads 53 mentions 23 exports 6 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK89
source / vignettesOK226
linux-releaseOK90
macos-releaseOK93
macos-oldrelOK111
windows-develOK77
windows-releaseOK94
windows-oldrelOK66
wasm-releaseOK83

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