xyplot()
draws
densityplot()
draws the profile densities.
splom()
draws profile pairs plots. Contours are for the
marginal two-dimensional regions (i.e. using df = 2).
## S3 method for class 'thpr':
xyplot(x, data = NULL,
levels = sqrt(qchisq(pmax.int(0, pmin.int(1, conf)), 1)),
conf = c(50, 80, 90, 95, 99)/100,
absVal = FALSE, which=1:nptot, ...)## S3 method for class 'thpr':
densityplot(x, data, ...)
## S3 method for class 'thpr':
splom(x, data,
levels = sqrt(qchisq(pmax.int(0, pmin.int(1, conf)), 2)),
conf = c(50, 80, 90, 95, 99)/100, which=1:nptot, ...)
conf
.abs(.)
olute values
should be plotted, often preferred for confidence interval
visualization.profile-methods
for details).xyplot
,
densityplot
, or splom
from package
profile
, notably for an
example.## see example("profile.merMod")
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