Imports: graphics, methods, stats, flexmix, Formula, lmtest,

Imports: graphics, grDevices, methods, stats, flexmix, Formula, lmtest,
Suggests: car, lattice, partykit, strucchange

Authors@R: person("Andrea", "Cantieni", email = "andrea.cantieni@phsz.ch",
Description: Computes standardized beta coefficients and corresponding
standard errors for the following models:
- linear regression models with numerical covariates only
- linear regression models with numerical and factorial covariates
- robust linear regression models with numerical covariates only

linear regression models with numerical covariates only,
linear regression models with numerical and factorial covariates,
all these linear regression models with interaction terms, and
robust linear regression models with numerical covariates only.

Title: Estimation and simulation of the first-order Beta-t-EGARCH model
Description: Estimation and simulation of the first-order Beta-t-EGARCH

model of Andrew Harvey. The two main functions are tegarch.sim
and tegarch.est. The former simulates a first order
Beta-t-EGARCH model whereas the latter estimates one. The other
functions are auxiliary functions called by tegarch.est, and
are not intended for the average user. However, for
completeness they are documented as well.

Title: Estimation and simulation of first-order Beta-t-EGARCH models
Description: Estimation and simulation of first-order Beta-t-EGARCH
models (one-component, two-component, skewed versions).

Title: Simulation, estimation and forecasting of Beta-Skew-t-EGARCH
Description: Simulation, estimation and forecasting of first-order Beta-Skew-t-EGARCH models with leverage (one-component, two-component, skewed versions).

Title: Simulation, Estimation and Forecasting of Beta-Skew-t-EGARCH

Description: Functional inteface to the Betfair API. The user can
choose the form of the output - row XML, S4, nested list or
simple R like objects ready to use in statistical processing.
Depends: R (>= 2.10), methods, RCurl, XML

Description: An R interface to the Betfair API. The user can choose the
type of output to be XML, S4 (representing native Betfair SOAP
types), nested list or simplified R objects ready to be used in