Package: spfa 1.0
Yang Liu
spfa: Semi-Parametric Factor Analysis
Estimation, scoring, and plotting functions for the semi-parametric factor model proposed by Liu & Wang (2022) <doi:10.1007/s11336-021-09832-8> and Liu & Wang (2023) <arxiv:2303.10079>. Both the conditional densities of observed responses given the latent factors and the joint density of latent factors are estimated non-parametrically. Functional parameters are approximated by smoothing splines, whose coefficients are estimated by penalized maximum likelihood using an expectation-maximization (EM) algorithm. E- and M-steps can be parallelized on multi-thread computing platforms that support 'OpenMP'. Both continuous and unordered categorical response variables are supported.
Authors:
spfa_1.0.tar.gz
spfa_1.0.tar.gz(r-4.5-noble)spfa_1.0.tar.gz(r-4.4-noble)
spfa_1.0.tgz(r-4.4-emscripten)spfa_1.0.tgz(r-4.3-emscripten)
spfa.pdf |spfa.html✨
spfa/json (API)
NEWS
| # Install 'spfa' in R: |
| install.packages('spfa', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- simdata - Simdata
- spfa_example - Spfa_example
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:0f18b7a1db. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 14 2024 |
| R-4.5-linux-x86_64 | OK | Oct 14 2024 |
Exports:fscoresplotitem.contspfa
Dependencies:RcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Semiparametric Factor Analysis | spfa-package |
| Computing EAP scores | fscores |
| Item level perspective plots or contour plots for spfa models | plotgroup plotitem.cont plotitem.disc |
| simdata | simdata |
| Fitting Semi-parametric Factor Analysis Model | spfa |
| spfa_example | spfa_example |
