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:Rui Lin [aut, cre], Yongcheol Shin [aut]

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-4.4-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'))

Peer review:

Datasets:
  • UKhouse - England and Wales House Price Growth Data Categorised by Regions

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

15 exports 0.23 score 11 dependencies 195 downloads

Last updated 11 months agofrom:d928294161. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 25 2024
R-4.5-winOKAug 25 2024
R-4.5-linuxOKAug 25 2024
R-4.4-winOKAug 25 2024
R-4.4-macOKAug 25 2024
R-4.3-winOKAug 25 2024
R-4.3-macOKAug 25 2024

Exports:AsymCI_local_loadingBartlettBS_global_compBS_global_factorBS_global_loadingBS_local_compBS_local_factorcheck_datadwBSGCCget_bwinfocritmultilevelpanel2listPC

Dependencies:cligluelatticelifecyclemagrittrrlangsandwichstringistringrvctrszoo