pmpp: Posterior Mean Panel Predictor

Dynamic panel modelling framework based on an empirical-Bayes approach. Contains tools for computing point forecasts and bootstrapping prediction intervals. Reference: Liu et al. (2016) <doi:10.2139/ssrn.2889000>.

Version: 0.1.1
Depends: R (≥ 3.4.0)
Imports: plm, pracma, MASS, Matrix, minqa, dplyr, data.table, moments, magrittr, ggplot2, stats, utils, graphics
Suggests: testthat, lintr
Published: 2019-10-15
Author: Michal Oleszak [aut, cre]
Maintainer: Michal Oleszak <oleszak.michal at gmail.com>
BugReports: https://github.com/MichalOleszak/pmpp/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/MichalOleszak/pmpp
NeedsCompilation: no
Materials: README NEWS
CRAN checks: pmpp results

Downloads:

Reference manual: pmpp.pdf
Package source: pmpp_0.1.1.tar.gz
Windows binaries: r-devel: pmpp_0.1.1.zip, r-release: pmpp_0.1.1.zip, r-oldrel: pmpp_0.1.1.zip
macOS binaries: r-release: pmpp_0.1.1.tgz, r-oldrel: pmpp_0.1.1.tgz
Old sources: pmpp archive

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