autoplot.profile_lmm | R Documentation |
Graphical representation of the profile likelihood from a linear mixed model
## S3 method for class 'profile_lmm'
autoplot(
object,
type = "logLik",
quadratic = TRUE,
ci = FALSE,
size = c(3, 2, 1, 1),
linetype = c("dashed", "dashed", "dashed"),
shape = 19,
scales = "free",
nrow = NULL,
ncol = NULL,
...
)
## S3 method for class 'profile_lmm'
plot(x, ...)
object, x |
an object of class |
type |
[character] Should the log-likelihood ( |
quadratic |
[logical] Should a quadratic approximation of the likelihood be displayed? |
ci |
[logical] Should a 95% confidence intervals obtained from the Wald test (vertical lines) and Likelihood ratio test (horizontal line) be displayed? |
size |
[numeric vector of length 4] Size of the point for the MLE, width of the line representing the likelihood, width of the corresponding quadratic approximation, and width of the line representing the confidence intervals. |
linetype |
[integer vector of length 2] type of line used to represent the quadratic approximation of the likelihood and the confidence intervals. |
shape |
[integer, >0] type of point used to represent the MLE. |
scales, nrow, ncol |
argument passed to |
... |
Not used. For compatibility with the generic method. |
A list with three elements
data.fit
: data containing the quadratice approximation of the log-likelihood
data.ci
: data containing the confidence intervals.
plot
: ggplot object.
plot(profile_lmm)
: Display Contour of the log-Likelihood
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