Title: Principal Component Analysis in High-Dimensional Data
Estimate the number of distant spikes based on the Generalized Spiked Population (GSP) model.
Estimate the population eigenvalues, angles between the sample and population eigenvectors, correlations between the sample and population PC scores, and the asymptotic shrinkage factors.
Adjust the shrinkage bias in the predicted PC scores.

Title: Interface to the UNDR Human Development Report API
Description: Provides a complete interface to the United Nations
Development Programme Human Development Report API (<http://hdr.undp.org>). The API
includes a large amount of human development data, including all the series used
to compute the Human Development Index (HDI), as well as the HDI itself.
Suggests: ggplot2, dplyr, tidyr, knitr, rmarkdown

Title: Highest density regions and conditional density estimation
Description: Computation of highest density regions in one and two dimensions
and kernel estimation of univariate density functions conditional on one covariate.
Packaged: Sat Dec  3 15:41:22 2005; hyndman

Packaged: Thu Dec 15 17:50:15 2005; hyndman

Author: Rob Hyndman <Rob.Hyndman@buseco.monash.edu.au> and Jochen Einbeck <jochen.einbeck@nuigalway.ie>
Description: Computation of highest density regions in one and two dimensions,
kernel estimation of univariate density functions conditional on one covariate,
Packaged: Fri May 12 16:02:58 2006; hyndman

Packaged: Mon Aug  7 11:29:50 2006; hyndman

Author: Rob J Hyndman <Rob.Hyndman@buseco.monash.edu.au> and Jochen Einbeck <jochen.einbeck@nuigalway.ie>
Packaged: Sat Oct  7 15:14:45 2006; hyndman

Packaged: Fri Nov 17 10:42:51 2006; hyndman

Packaged: Fri Mar 30 20:37:41 2007; hyndman

Packaged: Mon Jun 11 22:25:48 2007; hyndman

Packaged: Tue Oct  7 23:18:19 2008; hyndman

Packaged: Thu Nov 20 15:47:11 2008; hyndman

Author: Rob J Hyndman <Rob.Hyndman@buseco.monash.edu.au> and Jochen
Description: Computation of highest density regions in one and two
dimensions, kernel estimation of univariate density functions
conditional on one covariate, and multimodal regression.