Package: TSQLEM 0.1.0

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>.

Authors:Mohammad Hattab [aut, cre, cph]

TSQLEM_0.1.0.tar.gz
TSQLEM_0.1.0.zip(r-4.7-any)TSQLEM_0.1.0.zip(r-4.6-any)
TSQLEM_0.1.0.tgz(r-4.6-any)
TSQLEM_0.1.0.tar.gz(r-4.7-any)TSQLEM_0.1.0.tar.gz(r-4.6-any)
TSQLEM_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
TSQLEM/json (API)

# Install 'TSQLEM' in R:
install.packages('TSQLEM', repos = c('https://mwhattab.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 2 exports 9 dependencies

Last updated from:ca475ab4c5. Checks:7 OK, 2 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK119
source / vignettesOK160
linux-releaseOK126
macos-releaseOK169
macos-oldrelFAIL155
windows-develOK80
windows-releaseOK69
windows-oldrelFAIL38
wasm-releaseOK97

Exports:CondLatentTSQLEM

Dependencies:latticelavaanMASSMatrixmnormtmvtnormnumDerivpbivnormquadprog