Package: pcurve
Version: 0.6-2
Date: 2005/02/25
Title: Principal Curve analysis
Author: S original by Trevor Hastie <hastie@stat.stanford.edu>
S+ library by Glenn De'ath <g.death@aims.gov.au>
R port by Chris Walsh <Chris.Walsh@sci.monash.edu.au>
Depends: R(>= 1.9.0), mgcv, vegan, MASS, stats
Description: Fits a principal curve to a numeric multivariate
dataset in arbitrary dimensions. Produces diagnostic plots.
Maintainer: Chris Walsh <Chris.Walsh@sci.monash.edu.au>
License: GPL
Packaged: Fri Feb 25 22:20:57 2005; root

Author: S original by Trevor Hastie <hastie@stat.stanford.edu> S+
library by Glenn De'ath <g.death@aims.gov.au> R port by Chris
Description: Fits a principal curve to a numeric multivariate dataset
in arbitrary dimensions. Produces diagnostic plots.

Description: threshold regression in panel data

Title: threshold regression and unit root test in panel data
Description: Panel threshold and IGF unit root test

Title: Panel Data Regression: Threshold Model and Unit Root Tests
Description: Threshold model, panel version of Hylleberg et al. (1990) seasonal unit root tests, and panel unit root test of Chang (2002).

Title: Threshold Model and Unit Root Tests in Panel Data
Description: Threshold model, panel version of Hylleberg et al.(1990) seasonal unit root tests, and panel unit root test of Chang(2002).
Imports: boot, car, coefplot, lmtest, sandwich, papeR

Description: Threshold model, panel version of Hylleberg et al.(1990)<DOI:10.1016/0304-4076(90)90080-D> seasonal unit root tests, and panel unit root test of Chang(2002)<DOI:10.1016/S0304-4076(02)00095-7>.

Title: Threshold Model and Unit Root Tests in Cross-section and Time
Description: Threshold model, panel version of Hylleberg et al. (1990) <DOI:10.1016/0304-4076(90)90080-D> seasonal unit root tests, and panel unit root test of Chang (2002) <DOI:10.1016/S0304-4076(02)00095-7>.

Title: Threshold Model and Unit Root Tests in Cross-Section and Time

Title: Positive-Definite Wavelet-Based Multivariate Spectral Analysis
Authors@R: person("Joris", "Chau", email = "j.chau@uclouvain.be", role = c("aut", "cre"))
Description: Implementation of wavelet-based multivariate spectral density estimation and clustering methods in the Riemannian manifold of Hermitian and positive-definite matrices.