Author: Surya Tokdar <surya.tokdar@duke.edu> and Erika Cunningham <erika.ball@duke.edu>

Depends: R (>= 2.6), stats, graphics, grDevices
Imports: splines, coda, Matrix, kernlab, quantreg

Title: Data Sets for Quantitative Risk Management Practice
Description: Various data sets (stocks, stock indices, constituent data, FX,
zero-coupon bond yield curves, volatility, commodities) for Quantitative
Author: Marius Hofert [aut, cre], Kurt Hornik [aut]

person(given = "Alexander J.", family = "McNeil", role = "aut",

Title: Quantile Regression Mixture Models
Author: Maria de los Angeles Resa, Birol Emir, Javier Cabrera
Maintainer: Maria de los Angeles Resa <maria@stat.columbia.edu>
Description: Implements the robust algorithm for fitting finite mixture models based on quantile regression proposed by Emir et al., 2017 (unpublished).

Title: Tools for Quantitative Risk Management
Description: Functions and data sets for reproducing selected results from
the book "Quantitative Risk Management: Concepts, Techniques and Tools".
Furthermore, new developments and auxiliary functions for Quantitative

Imports: graphics, lattice, quantmod, Quandl, zoo, xts, methods,
Suggests: combinat, copula, knitr, mvtnorm, QRM, sfsmisc, RColorBrewer,

grDevices, stats, rugarch, utils, ADGofTest
Suggests: combinat, copula, knitr, sfsmisc, RColorBrewer, sn

Suggests: combinat, copula, qrng, sfsmisc, RColorBrewer, sn, knitr,

Suggests: combinat, copula, knitr, mvtnorm, QRM, rugarch, sfsmisc

Imports: quantmod, Quandl, zoo, methods, grDevices, stats

Imports: graphics, lattice, quantmod, Quandl, zoo, methods, grDevices,
Suggests: combinat, copula, knitr, mvtnorm, QRM, sfsmisc

Title: (Randomized) Quasi-Random Number Generators
Description: Functionality for generating (randomized) quasi-random numbers in
Author: Marius Hofert [aut, cre], Christiane Lemieux [aut]

Imports: methods, randtoolbox, utils, copula

Title: Quantile regression neural network
Description: Fit a quantile regression neural network with optional
left censoring using a variant of the finite smoothing