stochastic volatility models for univariate and multivariate
financial data. For univariate data both quasi-likelihood
estimation and indirect inference are implemented, while for
the bivariate data a quasi-likelihood method is implemented.

Title: Discrete Nonlinear Filtering for Stochastic Volatility Models
Authors@R: c(person("Louis", "Arsenault-Mahjoubi", role = c("aut", "cre"),
person("Jean-François", "Bégin", role = "aut"),
person("Mathieu", "Boudreault", role = "aut")  )
Author: Louis Arsenault-Mahjoubi [aut, cre],
Description: Generates simulated paths from various financial models
and applies the discrete nonlinear filter (DNF) of Kitagawa (1987) <doi:10.1080/01621459.1987.10478534>.

Description: Generates simulated paths from various financial stochastic volatility models
with jumps and applies the discrete nonlinear filter (DNF) of Kitagawa (1987) <doi:10.1080/01621459.1987.10478534> to
compute likelihood evaluations, filtering distribution estimates, and maximum likelihood parameter estimates.
The algorithm is implemented following the work of Bégin and Boudreault (2021) <doi:10.1080/10618600.2020.1840995>.

Title: Map experimental data on custom-made SVG file
Author: Jean-Christophe AUDE, Raphael CHAMPEIMONT
Description: This package allows you to display experimental data on a

Depends: R (>= 2.10.0), XML, grDevices, utils

Description: This package allows you to display experimental data on a custom-made SVG image.
Depends: R (>= 2.10.0), rJava, XML, grDevices, utils

Author: Hoksan Yip, Patrick J.F. Groenen, Georgi Nalbantov
Maintainer: Hok San Yip <hoksan@gmail.com>
Description: Implements the SVM-Maj algorithm to train data with
Support Vector Machine, this algorithm uses two efficient
updates, one for linear kernel and one for the nonlinear

Title: Implementation of the SVM-Maj Algorithm
Implements the SVM-Maj algorithm to train data with support vector machine
This algorithm uses two efficient updates, one for linear kernel and one
Imports: reshape2, scales, gridExtra, dplyr, ggplot2, kernlab
Suggests: utils, testthat, magrittr, xtable