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.
| Version: | 0.5.0 |
| Depends: | R (≥ 2.7), MASS, lavaan |
| Published: | 2020-04-21 |
| Author: | Ke-Hai Yuan and Zhiyong Zhang |
| Maintainer: | Zhiyong Zhang <zhiyongzhang at nd.edu> |
| License: | GPL-2 |
| URL: | https://bigdatalab.nd.edu |
| NeedsCompilation: | no |
| In views: | MissingData, Psychometrics |
| CRAN checks: | rsem results |
| Reference manual: | rsem.pdf |
| Package source: | rsem_0.5.0.tar.gz |
| Windows binaries: | r-devel: rsem_0.5.0.zip, r-release: rsem_0.5.0.zip, r-oldrel: rsem_0.5.0.zip |
| macOS binaries: | r-release (arm64): rsem_0.5.0.tgz, r-oldrel (arm64): rsem_0.5.0.tgz, r-release (x86_64): rsem_0.5.0.tgz, r-oldrel (x86_64): rsem_0.5.0.tgz |
| Old sources: | rsem archive |
| Reverse depends: | bmemLavaan, coefficientalpha |
Please use the canonical form https://CRAN.R-project.org/package=rsem to link to this page.