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### Q-Q plot for normal inverse Gaussian distribution
qqnig <- function(y, mu = 0, delta = 1, alpha = 1, beta = 0,
param = c(mu, delta, alpha, beta),
main = "Normal inverse Gaussian Q-Q Plot",
xlab = "Theoretical Quantiles",
ylab = "Sample Quantiles",
plot.it = TRUE, line = TRUE, ...) {
qqghyp(y, param = c(param, -1/2), main = main, xlab = xlab,
ylab = ylab, plot.it = plot.it, line = line, ...)
} ## End of qqnig()
### P-P plot for normal inverse Gaussian distribution
ppnig <- function(y, mu = 0, delta = 1, alpha = 1, beta = 0,
param = c(mu, delta, alpha, beta),
main = "Normal inverse Gaussian P-P Plot",
xlab = "Uniform Quantiles",
ylab = "Probability-integral-transformed Data",
plot.it = TRUE, line = TRUE, ...) {
ppghyp(y, param = c(param, -1/2), main = main, xlab = xlab,
ylab = ylab, plot.it = plot.it, line = line, ...)
} ## End of ppnig()
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