Package: GrFA 0.2
GrFA: Group Factor Analysis
Several group factor analysis algorithms are implemented, including Canonical Correlation-based Estimation by Choi et al. (2021) <doi:10.1016/j.jeconom.2021.09.008> , Generalised Canonical Correlation Estimation by Lin and Shin (2023) <doi:10.2139/ssrn.4295429>, Circularly Projected Estimation by Chen (2022) <doi:10.1080/07350015.2022.2051520>, and Aggregated projection method.
Authors:
GrFA_0.2.tar.gz
GrFA_0.2.zip(r-4.5)GrFA_0.2.zip(r-4.4)GrFA_0.2.zip(r-4.3)
GrFA_0.2.tgz(r-4.4-any)GrFA_0.2.tgz(r-4.3-any)
GrFA_0.2.tar.gz(r-4.5-noble)GrFA_0.2.tar.gz(r-4.4-noble)
GrFA_0.2.tgz(r-4.4-emscripten)GrFA_0.2.tgz(r-4.3-emscripten)
GrFA.pdf |GrFA.html✨
GrFA/json (API)
| # Install 'GrFA' in R: |
| install.packages('GrFA', repos = c('https://jiaqihu2021.r-universe.dev', 'https://cloud.r-project.org')) |
- UShouseprice - Housing price data for 16 states in the U.S.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 months agofrom:c9928fc10b. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 23 2024 |
| R-4.5-win | OK | Nov 23 2024 |
| R-4.5-linux | OK | Nov 23 2024 |
| R-4.4-win | OK | Nov 23 2024 |
| R-4.4-mac | OK | Nov 23 2024 |
| R-4.3-win | OK | Nov 23 2024 |
| R-4.3-mac | OK | Nov 23 2024 |
Exports:APMCCACPest_numFAGCCgendataTraceRatio
Dependencies:mvtnorm
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Aggregated Projection Method | APM |
| Canonical Correlation Estimation | CCA |
| Circularly Projected Estimation | CP |
| Estimate factor numbers | est_num |
| Factor analysis | FA |
| Generalised Canonical Correlation | GCC |
| Generate the grouped data. | gendata |
| print.GFA | |
| Trace ratio | TraceRatio |
| Housing price data for 16 states in the U.S. | UShouseprice |
