GF {gfcure}

R Documentation

The Generalized F Distribution

Description

Density, distribution function, quantile function and random number generation for the generalized F distribution

Usage

dgf(t, s1, s2, sigma, mu, method = 0)

pgf(t, s1, s2, sigma, mu, method = 0)

qgf(p, s1, s2, sigma, mu)

rgf(n, s1, s2, sigma, mu)

Arguments

t	vector of quantiles
s1	The first shape parameter
s2	The second shape parameter
sigma	The scale parameter
mu	The location parameter
method	If method=1, a special C program is used in the calculation. Otherwise, the calculation does not rely on any external programs.
p	vector of probabilities
n	number of observations

Details

"s1", "s2", "sigma" are positive and mu can be any real value

Value

"dgf" gives the density, "pgf" gives the distribution function, "qgf" gives the quantile function, and "rgf" generates random deviates.

Author(s)

Yingwei Peng

References

Kalbfleisch, J. D. & Prentice, R. L. (2002), The Statistical Analysis of Failure Time Data, 2nd edn, John Wiley & Sons, New York.

Examples

rgf(20, 1, 1, 1, 0)

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