## Not run:
# tlmrgev(leftrim=12, rightrim=1, xi=0, alpha=2 )
# tlmrgev(leftrim=12, rightrim=1, xi=100, alpha=20) # another slow example
# ## End(Not run)
## Not run:
# # Plot and L-moment ratio diagram of Tau3 and Tau4
# # with exclusive focus on the GEV distribution.
# plotlmrdia(lmrdia(), autolegend=TRUE, xleg=-.1, yleg=.6,
# xlim=c(-.8, .7), ylim=c(-.1, .8),
# nolimits=TRUE, noglo=TRUE, nogpa=TRUE, nope3=TRUE,
# nogno=TRUE, nocau=TRUE, noexp=TRUE, nonor=TRUE,
# nogum=TRUE, noray=TRUE, nouni=TRUE)
#
# # Compute the TL-moment ratios for trimming of one
# # value on the left and four on the right. Notice the
# # expansion of the kappa parameter space from > -1 to
# # something near -5.
# J <- tlmrgev(kbeg=-4.99, leftrim=1, rightrim=4)
# lines(J$tau3, J$tau4, lwd=2, col=3) # BLUE CURVE
#
# # Compute the TL-moment ratios for trimming of four
# # values on the left and one on the right.
# J <- tlmrgev(kbeg=-1.99, leftrim=4, rightrim=1)
# lines(J$tau3, J$tau4, lwd=2, col=4) # GREEN CURVE
#
# # The kbeg and kend can be manually changed to see how
# # the resultant curve expands or contracts on the
# # extent of the L-moment ratio diagram.
# ## End(Not run)
## Not run:
# # Following up, let us plot the two quantile functions
# LM <- vec2par(c(0,1,-0.99), type='gev', paracheck=FALSE)
# TLM <- vec2par(c(0,1,-4.99), type='gev', paracheck=FALSE)
# F <- nonexceeds()
# plot(qnorm(F), quagev(F, LM), type="l")
# lines(qnorm(F), quagev(F, TLM, paracheck=FALSE), col=2)
# # Notice how the TLM parameterization runs off towards
# # infinity much much earlier than the conventional
# # near limits of the GEV.
# ## End(Not run)
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