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.
|Author||Patrick Kraft [aut, cre], Christopher Weber [ctb]|
|Date of publication||2015-01-21 07:09:03|
|Maintainer||Patrick Kraft <email@example.com>|
|License||GPL (>= 2)|
|Package repository||View on CRAN|
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