DIFM
Dynamic ICAR Spatiotemporal Factor Models
Bayesian factor models are effective tools for dimension reduction. This is especially applicable to multivariate large-scale datasets. It allows researchers to understand the latent factors of the data which are the linear or non-linear combination of the variables. Dynamic Intrinsic Conditional Autocorrelative Priors (ICAR) Spatiotemporal Factor Models 'DIFM' package provides function to run Markov Chain Monte Carlo (MCMC), evaluation methods and visual plots from Shin and Ferreira (2023)
- Version1.0
- R version≥ 2.10
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release04/12/2024
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Hwasoo Shin
Marco Ferreira
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- Depends1 package
- Imports6 packages
- Suggests3 packages
- Linking To2 packages