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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.5.1 |
rolling linux/jammy R-4.5 | rsem_0.5.1.tar.gz |
133.2 KiB |
0.5.1 |
rolling linux/noble R-4.5 | rsem_0.5.1.tar.gz |
133.1 KiB |
0.5.1 |
rolling source/ R- | rsem_0.5.1.tar.gz |
23.1 KiB |
0.5.1 |
latest linux/jammy R-4.5 | rsem_0.5.1.tar.gz |
133.2 KiB |
0.5.1 |
latest linux/noble R-4.5 | rsem_0.5.1.tar.gz |
133.1 KiB |
0.5.1 |
latest source/ R- | rsem_0.5.1.tar.gz |
23.1 KiB |
0.5.1 |
2026-04-26 source/ R- | rsem_0.5.1.tar.gz |
23.1 KiB |
0.5.1 |
2026-04-23 source/ R- | rsem_0.5.1.tar.gz |
23.1 KiB |
0.5.1 |
2026-04-09 windows/windows R-4.5 | rsem_0.5.1.zip |
136.9 KiB |
0.5.1 |
2025-04-20 source/ R- | rsem_0.5.1.tar.gz |
23.1 KiB |