vgFit: Fit the Variance Gamma to Data

In VarianceGamma: The Variance Gamma Distribution

Fit the Variance Gamma to Data

Description

Fits a variance gamma distribution to data. Displays the histogram, log-histogram (both with fitted densities), Q-Q plot and P-P plot for the fit which has the maximum likelihood.

Usage

  vgFit(x, freq = NULL, breaks = NULL, paramStart = NULL,
        startMethod = "Nelder-Mead", startValues = "SL",
        method = "Nelder-Mead", hessian = FALSE,
        plots = FALSE, printOut = FALSE,
        controlBFGS = list(maxit = 200),
        controlNM = list(maxit = 1000), maxitNLM = 1500, ...)


  ## S3 method for class 'vgFit'
print(x, digits = max(3, getOption("digits") - 3), ...)

  ## S3 method for class 'vgFit'
plot(x, which = 1:4,
       plotTitles = paste(c("Histogram of ","Log-Histogram of ",
                            "Q-Q Plot of ","P-P Plot of "), x$obsName,
                          sep = ""),
       ask = prod(par("mfcol")) < length(which) && dev.interactive(),
          ...)

Arguments

x	Data vector for vgFit. Object of class "vgFit" for print.vgFit and plot.vgFit.
freq	A vector of weights with length equal to length(x).
breaks	Breaks for histogram, defaults to those generated by hist(x, right = FALSE, plot = FALSE).
paramStart	A user specified starting parameter vector param taking the form c(vgC,sigma,theta,nu).
startMethod	Method used by vgFitStart in calls to optim, default is "Nelder-Mead". See Details.
startValues	Code giving the method of determining starting values for finding the maximum likelihood estimate of param, default method is "SL". See Details.
method	Different optimisation methods to consider, default is "Nelder-Mead". See Details.
hessian	Logical. If TRUE the value of the hessian is returned.
plots	Logical. If FALSE suppresses printing of the histogram, log-histogram, Q-Q plot and P-P plot.
printOut	Logical. If FALSE suppresses printing of results of fitting.
controlBFGS	A list of control parameters for optim when using the "BFGS" optimisation.
controlNM	A list of control parameters for optim when using the "Nelder-Mead" optimisation.
maxitNLM	A positive integer specifying the maximum number of iterations when using the "nlm" optimisation.
digits	Desired number of digits when the object is printed.
which	If a subset of the plots is required, specify a subset of the numbers 1:4.
plotTitles	Titles to appear above the plots.
ask	Logical. If TRUE, the user is asked before each plot, see par(ask = .).
...	Passes arguments to par, hist, logHist, qqhyperb and pphyperb.

Details

startMethod can be either "BFGS" or "Nelder-Mead".

startValues can be one of the following:

"US"

User-supplied.

"SL"

Based on a fitted skew-Laplace distribution.

"MoM"

Method of moments.

For the details concerning the use of paramStart, startMethod, and startValues, see vgFitStart.

The three optimisation methods currently available are:

"BFGS"

Uses the quasi-Newton method "BFGS" as documented in optim.

"Nelder-Mead"

Uses an implementation of the Nelder and Mead method as documented in optim.

"nlm"

Uses the nlm function in R.

For details of how to pass control information for optimisation using optim and nlm, see optim and nlm.

When method = "Nelder-Mead" is used, very rarely, it would return an error message of "error in optim(paramStart,...)", use method = "BFGS" or method = "nlm" instead in that case.

When method = "nlm" is used, warnings may be produced. These do not appear to be a problem.

Value

A list with components:

param	A vector giving the maximum likelihood estimate of param, as (c,sigma,theta,nu).
maxLik	The value of the maximised log-likelihood.
hessian	If hessian was set to TRUE, the value of the hessian. Not present otherwise.
method	Optimisation method used.
conv	Convergence code. See the relevant documentation (either optim or nlm) for details on convergence.
iter	Number of iterations of optimisation routine.
obs	The data used to fit the hyperbolic distribution.
obsName	A character string with the actual obs argument name.
paramStart	Starting value of param returned by call to vgFitStart.
svName	Descriptive name for the method finding start values.
startValues	Acronym for the method of finding start values.
breaks	The cell boundaries found by a call to hist.
midpoints	The cell midpoints found by a call to hist.
empDens	The estimated density found by a call to hist.

Author(s)

David Scott [e-mail], Christine Yang Dong [e-mail]

References

Seneta, E. (2004). Fitting the variance-gamma model to financial data. J. Appl. Prob., 41A:177–187.

See Also

optim, nlm, par, hist, logHist, qqvg, ppvg, dskewlap and vgFitStart.

Examples

param <- c(0,0.5,0,0.5)
dataVector <- rvg(500, param = param)
## See how well vgFit works
vgFit(dataVector)
vgFit(dataVector, plots = TRUE)
fit <- vgFit(dataVector)
par(mfrow = c(1,2))
plot(fit, which = c(1,3))

## Use nlm instead of default
param <- c(0,0.5,0,0.5)
dataVector <- rvg(500, param = param)
vgFit(dataVector, method = "nlm", hessian = TRUE)


## Use BFGS instead of deault
param <- c(0,0.5,0,0.5)
dataVector <- rvg(500, param = param)
vgFit(dataVector, method = "BFGS", hessian = TRUE)

VarianceGamma documentation built on Nov. 26, 2023, 3:01 p.m.