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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
Author: Mohammad Hattab ORCID iD [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: TSQLEM_0.1.0.zip, r-release: TSQLEM_0.1.0.zip, 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:

Please use the canonical form https://CRAN.R-project.org/package=TSQLEM to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.