Package: nlsem 0.8-1
Nora Umbach
nlsem: Fitting Structural Equation Mixture Models
Estimation of structural equation models with nonlinear effects and underlying nonnormal distributions.
Authors:
nlsem_0.8-1.tar.gz
nlsem_0.8-1.zip(r-4.5)nlsem_0.8-1.zip(r-4.4)nlsem_0.8-1.zip(r-4.3)
nlsem_0.8-1.tgz(r-4.4-any)nlsem_0.8-1.tgz(r-4.3-any)
nlsem_0.8-1.tar.gz(r-4.5-noble)nlsem_0.8-1.tar.gz(r-4.4-noble)
nlsem_0.8-1.tgz(r-4.4-emscripten)nlsem_0.8-1.tgz(r-4.3-emscripten)
nlsem.pdf |nlsem.html✨
nlsem/json (API)
| # Install 'nlsem' in R: |
| install.packages('nlsem', repos = c('https://nwickel.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/nwickel/nlsem/issues
Datasets:
Last updated 1 years agofrom:5b3f9c4fab. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-win | NOTE | Nov 04 2024 |
| R-4.5-linux | NOTE | Nov 04 2024 |
| R-4.4-win | NOTE | Nov 04 2024 |
| R-4.4-mac | NOTE | Nov 04 2024 |
| R-4.3-win | OK | Nov 04 2024 |
| R-4.3-mac | OK | Nov 04 2024 |
Exports:count_free_parameterscreate_sememfill_modellav2nlsemqmlspecify_sem
Dependencies:gaussquadlatticelavaanMASSmnormtmvtnormnlmenumDerivorthopolynompbivnormpolynomquadprog
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fitting structural equation mixture models | nlsem-package |
| Anova Tables | anova.emEst |
| Coerce to a Data Frame | as.data.frame.nsemm as.data.frame.semm as.data.frame.singleClass |
| Data from Australian subset of PISA 2009 data | australia |
| Count free parameters of structural equation model | count_free_parameters |
| Create a structural equation model from a data frame | create_sem |
| Maximum likelihood estimation of structural equation mixture models | em |
| Fills an empty structural equation model with parameters | fill_model |
| Data from Jordan subset of PISA 2006 data | jordan |
| Create a structural equation model from lavaan syntax | lav2nlsem |
| Quasi-maximum likelihood estimation of a nonlinear structural equation model | qml |
| Simulate data from a structural equation model | simulate.nsemm simulate.semm simulate.singleClass |
| Specify a structural equation model | specify_sem |
| Summarize output from EM algorithm for structural equation models | summary.emEst |