TSQLEM: Two Stage Estimation for Generalized Structural Equation Models
Provides a framework to estimate high dimensional generalized structural equation models using two stage quasi-likelihood expectation-maximization. The structural model supports binomial (logit and probit), Poisson, negative binomial, and gamma distributions for the outcome variable. Hattab (2026) "A Two Stage Quasi-Likelihood Estimation Method for High Dimensional Generalized Structural Equation Models" <doi:10.48550/arXiv.2608.16017>.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.6.0) |
| Imports: | lavaan, Matrix, MASS, mvtnorm |
| Suggests: | psych |
| Published: | 2026-09-28 |
| DOI: | 10.32614/CRAN.package.TSQLEM (may not be active yet) |
| Author: | Mohammad Hattab 
[aut, cre, cph] |
| Maintainer: | Mohammad Hattab <mwhattab at unm.edu> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| CRAN checks: | TSQLEM results |
Documentation:
| Reference manual: | TSQLEM.html , TSQLEM.pdf |
Downloads:
| Package source: | TSQLEM_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): TSQLEM_0.1.0.tgz, r-oldrel (arm64): not available, r-release (x86_64): TSQLEM_0.1.0.tgz, r-oldrel (x86_64): not available |
Linking:
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