graphics, methods, stats, flexmix, Formula, lmtest,
modeltools, sandwich

graphics, grDevices, methods, stats, flexmix, Formula, lmtest,
modeltools, sandwich

person("Andrea", "Cantieni", email = "andrea.cantieni@phsz.ch",
role = c("aut", "cre"))
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
- weighted linear regression models
- robust linear regression models with numerical covariates only

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

Estimation and simulation of the first-order Beta-t-EGARCH model
Estimation and simulation of the first-order Beta-t-EGARCH
model of Andrew Harvey.

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.

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

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

Simulation, Estimation and Forecasting of Beta-Skew-t-EGARCH
Models

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.