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 <patrick.kraft@stonybrook.edu> |

License | GPL (>= 2) |

Version | 1.3 |

https://github.com/pwkraft/ArfimaMLM |

**arfimaMLM:** Arfima-MLM for repeated cross-sectional data and pooled...

**ArfimaMLM-package:** Arfima-MLM Estimation For Repeated Cross-Sectional Data And...

**arfimaOLS:** Arfima-OLS for repeated cross-sectional data and/or pooled...

**arfimaPrep:** Preparing a dataset for subsequent analysis accoring to the...

**extractVars:** Extract and order variables from formula

**fd:** Estimate fractional differencing parameter and/or...

ArfimaMLM

ArfimaMLM/inst

ArfimaMLM/inst/CITATION

ArfimaMLM/inst/doc

ArfimaMLM/inst/doc/ArfimaMLM-documentation.pdf

ArfimaMLM/NAMESPACE

ArfimaMLM/R

ArfimaMLM/R/print.arfimaMLM.R
ArfimaMLM/R/extractVars.R
ArfimaMLM/R/fd.default.R
ArfimaMLM/R/arfimaMLM.R
ArfimaMLM/R/summary.arfimaMLM.R
ArfimaMLM/R/fd.R
ArfimaMLM/R/summary.arfimaOLS.R
ArfimaMLM/R/print.arfimaOLS.R
ArfimaMLM/R/arfimaPrep.R
ArfimaMLM/R/arfimaOLS.R
ArfimaMLM/R/fd.numeric.R
ArfimaMLM/R/print.summary.arfimaOLS.R
ArfimaMLM/R/print.summary.arfimaMLM.R
ArfimaMLM/MD5

ArfimaMLM/DESCRIPTION

ArfimaMLM/man

ArfimaMLM/man/extractVars.Rd
ArfimaMLM/man/arfimaMLM.Rd
ArfimaMLM/man/fd.Rd
ArfimaMLM/man/arfimaPrep.Rd
ArfimaMLM/man/arfimaOLS.Rd
ArfimaMLM/man/ArfimaMLM-package.Rd
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