Functions to facilitate the estimation of Arfima-MLM models for repeated cross-sectional data and pooled cross-sectional time-series data (see Lebo and Weber 2015). The estimation procedure uses double filtering with Arfima methods to account for autocorrelation in repeated cross-sectional data followed by multilevel modeling (MLM) to estimate aggregate as well as individual-level parameters simultaneously.
Package details |
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Maintainer | |
License | GPL (>= 2) |
Version | 1.3.3 |
URL | https://github.com/pwkraft/ArfimaMLM |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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