profile.samediff | R Documentation |
Computes the (normalized or relative) profile likelihood for the parameters of a same-different test, plots the normalized profile likelihood and computes profile likelihood confidence intervals.
## S3 method for class 'samediff'
profile(fitted, which = 1:2, max = 2, numpts = 100,
max.delta = 10, max.tau = 10, ...)
## S3 method for class 'profile.samediff'
plot(x, which = 1:nc, level = c(0.99, 0.95),
fig = TRUE, ...)
## S3 method for class 'samediff'
confint(object, parm = c("tau", "delta"), level = 0.95, max = c(10, 10)
, ...)
fitted |
a |
x |
a |
object |
a |
which |
numeric: which parameters to profile or plot; either "1" or "2" or "1:2" to mean "tau", "delta" or both respectively. |
parm |
the parameter(s) to compute the confidence interval for |
max |
for |
numpts |
control parameter: At how many points should the profile likelihood be evaluated? |
max.delta |
control parameter: The maximum point at which to evaluate the profile likelihood for delta |
max.tau |
same as |
level |
for |
fig |
logical: Should the normalized profile likelihoods be plotted? |
... |
not currently used. |
For profile
:
An object of class "profile.samediff", "data.frame"
—a
data.frame
with two columns for each parameter profiled giving
the value of the parameter and the corresponding value of the profile
likelihood.
For plot
:
An object of class "nProfile.samediff", "data.frame"
—the
data.frame
from the profile
-object with extra
columns corresponding to the which
parameter containing the
normalized profile liklelihood.
For confint
:
A 2x2 matrix with columns named "lower", "upper"
giving the
lower and upper (1 - alpha
)% confidence interval for the
parameters named in the rows.
Rune Haubo B Christensen
summary.samediff
# data: 8 of the same samples were judged to be same
# 5 of the same samples were judged to be different
# 4 of the different samples were judged to be same
# 9 of the different samples were judged to be different
sadi <- samediff(8, 5, 4, 9)
confint(sadi)
plot(profile(sadi))
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