Last data update: 2014.03.03
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R: internal
internal
Description
internal use only
Usage
ptgpd(x, y, z, model = "log", mar1 = c(0, 1, 0.1), mar2 = c(0, 1, 0.1), mar3 = c(0, 1, 0.1), dep = 1.5, A1 = 0, A2 = 0, B1 = 3, B2 = 3, checkconv = TRUE, ...)
Arguments
x |
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y |
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z |
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model |
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mar1 |
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mar2 |
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mar3 |
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dep |
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A1 |
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A2 |
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B1 |
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B2 |
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checkconv |
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... |
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Details
internal use only
Value
internal use only
Note
internal use only
Author(s)
P. Rakonczai
References
internal use only
See Also
internal use only
Examples
##---- Should be DIRECTLY executable !! ----
##-- ==> Define data, use random,
##-- or do help(data=index) for the standard data sets.
## The function is currently defined as
function (x, y, z, model = "log", mar1 = c(0, 1, 0.1), mar2 = c(0,
1, 0.1), mar3 = c(0, 1, 0.1), dep = 1.5, A1 = 0, A2 = 0,
B1 = 3, B2 = 3, checkconv = TRUE, ...)
{
models = c("log", "psilog", "neglog", "psineglog")
if (!(model %in% models))
stop(paste("'", model, "' is not a valid model.", sep = ""))
else {
if (model == "log")
ptgpd = ptgpd_log(x, y, z, mar1 = mar1, mar2 = mar2,
mar3 = mar3, dep = dep)
if (model == "psilog")
ptgpd = ptgpd_psilog(x, y, z, mar1 = mar1, mar2 = mar2,
mar3 = mar3, dep = dep, A1 = A1, A2 = A2, B1 = B1,
B2 = B2, checkconv = checkconv)
if (model == "neglog")
ptgpd = ptgpd_neglog(x, y, z, mar1 = mar1, mar2 = mar2,
mar3 = mar3, dep = dep)
if (model == "psineglog")
ptgpd = ptgpd_psineglog(x, y, z, mar1 = mar1, mar2 = mar2,
mar3 = mar3, dep = dep, A1 = A1, A2 = A2, B1 = B1,
B2 = B2, checkconv = checkconv)
ptgpd
}
}
Results
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