Package: GCCfactor 1.0.1
GCCfactor: GCC Estimation of the Multilevel Factor Model
Provides methods for model selection, estimation, bootstrap inference, and simulation for the multilevel factor model, based on the principal component estimation and generalised canonical correlation approach. Details can be found in "Generalised Canonical Correlation Estimation of the Multilevel Factor Model." Lin and Shin (2023) <doi:10.2139/ssrn.4295429>.
Authors:
GCCfactor_1.0.1.tar.gz
GCCfactor_1.0.1.zip(r-4.5)GCCfactor_1.0.1.zip(r-4.4)GCCfactor_1.0.1.zip(r-4.3)
GCCfactor_1.0.1.tgz(r-4.5-any)GCCfactor_1.0.1.tgz(r-4.4-any)GCCfactor_1.0.1.tgz(r-4.3-any)
GCCfactor_1.0.1.tar.gz(r-4.5-noble)GCCfactor_1.0.1.tar.gz(r-4.4-noble)
GCCfactor_1.0.1.tgz(r-4.4-emscripten)GCCfactor_1.0.1.tgz(r-4.3-emscripten)
GCCfactor.pdf |GCCfactor.html✨
GCCfactor/json (API)
# Install 'GCCfactor' in R: |
install.packages('GCCfactor', repos = c('https://rl1081.r-universe.dev', 'https://cloud.r-project.org')) |
- UKhouse - England and Wales House Price Growth Data Categorised by Regions
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:d928294161. Checks:8 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Feb 21 2025 |
R-4.5-win | OK | Feb 21 2025 |
R-4.5-mac | OK | Feb 21 2025 |
R-4.5-linux | OK | Feb 21 2025 |
R-4.4-win | OK | Feb 21 2025 |
R-4.4-mac | OK | Feb 21 2025 |
R-4.3-win | OK | Feb 21 2025 |
R-4.3-mac | OK | Feb 21 2025 |
Exports:AsymCI_local_loadingBartlettBS_global_compBS_global_factorBS_global_loadingBS_local_compBS_local_factorcheck_datadwBSGCCget_bwinfocritmultilevelpanel2listPC
Dependencies:cligluelatticelifecyclemagrittrrlangsandwichstringistringrvctrszoo