which) are currently provided:
two conditional P-P plots (conditioning on each margin),
a density plot and a dependence function plot.
Plot diagnostics for the generalized extreme value margins
(selectable by mar and which) are also provided.## S3 method for class 'bvevd':
plot(x, mar = 0, which = 1:4, main = c("Conditional Plot One",
"Conditional Plot Two", "Density Plot", "Dependence Function"),
ask = nb.fig < length(which) && dev.interactive(), ci = TRUE,
nlevels = 10, levels, jitter = FALSE, nplty = 2, method = "cfg",
modify = 0, wf = function(t) t, ...)"bvevd".1:4.TRUE, the user is asked before
each plot.TRUE (the default), plot simulated
95% confidence intervals for the conditional P-P plots.bvdens for details.bvdp for details.bvcpp,
bvdens and bvdp.bvcpp, bvdens,
bvdp, plot.evdbvdata <- rbvlog(100, dep = 0.6)
M1 <- fbvlog(bvdata)
plot(M1)
plot(M1, mar = 1)
plot(M1, mar = 2)Run the code above in your browser using DataLab