PSTR: Panel Smooth Transition Regression Modelling

Provides the Panel Smooth Transition Regression (PSTR) modelling. The modelling procedure consists of three stages: Specification, Estimation and Evaluation. The package offers sharp tools helping the package user(s) to conduct model specification tests, to do PSTR model estimation, and to do model evaluation. The tests implemented in the package allow for cluster-dependency and are heteroskedasticity-consistent. The wild bootstrap and wild cluster bootstrap tests are also implemented. Parallel computation (as an option) is implemented in some functions, especially the bootstrap tests. The package suits tasks running many cores on super-computation servers.

Version: 1.2.1
Depends: R (≥ 3.0.0)
Imports: tibble, snowfall, ggplot2, plotly, stats, magrittr
Suggests: knitr, rmarkdown
Published: 2018-06-01
Author: Yukai Yang [aut, cre]
Maintainer: Yukai Yang <yukai.yang at statistik.uu.se>
BugReports: https://github.com/yukai-yang/PSTR/issues
License: GPL-3
URL: https://github.com/yukai-yang/PSTR
NeedsCompilation: no
Materials: README NEWS
CRAN checks: PSTR results

Downloads:

Reference manual: PSTR.pdf
Package source: PSTR_1.2.1.tar.gz
Windows binaries: r-devel: PSTR_1.2.1.zip, r-release: PSTR_1.2.1.zip, r-oldrel: PSTR_1.2.1.zip
OS X binaries: r-release: PSTR_1.2.1.tgz, r-oldrel: PSTR_1.2.1.tgz
Old sources: PSTR archive

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