The goal of GCCfactor is to implement estimation, model selection, and inference, as developed in “Generalised canonical correlation estimation of the multilevel factor model”.
If you encounter a bug, please file an issue on the GitHub Issues page.
You can install the development version of GCCfactor from GitHub with:
# install.packages("pak")
pak::pak("rl1081/GCCfactor")or install from CRAN:
install.packages("GCCfactor")library(GCCfactor)
panel <- UKhouse
est_multi <- multilevel(panel, ic = "BIC3", standarise = TRUE, r_max = 5,
overestimate = TRUE, depvar_header = "dlPrice",
i_header = "Region", j_header = "LPA_Type", t_header = "Date")
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.