Package: RSEML 0.1.0

RSEML: Case-Based Least Squares Estimation of Nonlinear Structural Equation Models

Estimates structural equation models by case-based least squares: the latent scores of every observation are treated as free variables of a constrained optimization problem, so that arbitrary nonlinear model equations, bounds and constraints on latent variables and inequality constraints on parameters become possible. Model equations are specified as plain text (e.g. "y == a*exp(b*eta)"). Gradients are obtained by automatic differentiation via 'RTMB', and the constrained problem is solved with 'nloptr' (SLSQP or augmented Lagrangian). Missing data are handled case-wise. The methodology is described in Oldenburg (2024) <doi:10.19139/soic-2310-5070-1868> and Oldenburg (2025) <doi:10.19139/soic-2310-5070-2324>.

Authors:Reinhard Oldenburg [aut, cre]

RSEML_0.1.0.tar.gz
RSEML_0.1.0.zip(r-4.7-any)RSEML_0.1.0.zip(r-4.6-any)RSEML_0.1.0.zip(r-4.5-any)
RSEML_0.1.0.tgz(r-4.6-any)RSEML_0.1.0.tgz(r-4.5-any)
RSEML_0.1.0.tar.gz(r-4.7-any)RSEML_0.1.0.tar.gz(r-4.6-any)
RSEML_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
RSEML/json (API)

# Install 'RSEML' in R:
install.packages('RSEML', repos = c('https://rolenburg.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 467 downloads 3 exports 8 dependencies

Last updated from:f26aac977d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK129
source / vignettesOK137
linux-releaseOK135
macos-releaseOK213
macos-oldrelOK161
windows-develOK95
windows-releaseOK92
windows-oldrelOK85
wasm-releaseOK99

Exports:bollen_equationsfsemsim_bollen

Dependencies:latticeMASSMatrixnloptrRcppRcppEigenRTMBTMB