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rsem
View on CRAN: Click
here
Download and install rsem package within the R console
Install from CRAN:
install.packages("rsem")
Install from Github:
library("remotes")
install_github("cran/rsem") Install by package version:
library("remotes")
install_version("rsem", "0.5.1") Attach the package and use:
library("rsem")
Maintained by
Zhiyong Zhang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2011-10-04
Latest Update: 2023-08-26
Description:
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.
How to cite:
Zhiyong Zhang (2011). rsem: Robust Structural Equation Modeling with Missing Data and Auxiliary Variables. R package version 0.5.1, https://cran.r-project.org/web/packages/rsem. Accessed 07 Mar. 2026.
Previous versions and publish date:
Other packages that cited rsem R package
View rsem citation profile
Other R packages that rsem depends,
imports, suggests or enhances
Complete documentation for rsem
Functions, R codes and Examples using
the rsem R package
Some associated functions: mardiamv25 . rsem-package . rsem.Ascov . rsem.DP . rsem.emmusig . rsem.fit . rsem.gname . rsem.index . rsem.indexv . rsem.indexvc . rsem.lavaan . rsem . rsem.pattern . rsem.print . rsem.se . rsem.ssq . rsem.switch.gamma . rsem.switch . rsem.vec . rsem.vech . rsem.weight . semdiag.combinations . semdiag.read.eqs . semdiag.run.eqs .
Some associated R codes: rsem.R . Full rsem package functions and examples
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