Plot Likelihood Surface
LLsurface is a generic function to calculate log likelihood over a grid of values of two coefficients (beta parameters) from a fitted model and optionally make an approximate contour plot of the log likelihood surface.
A method is provided for secr objects.
LLsurface(object, ...) ## S3 method for class 'secr' LLsurface(object, betapar = c("g0", "sigma"), xval = NULL, yval = NULL, centre = NULL, realscale = TRUE, plot = TRUE, plotfitted = TRUE, ncores = NULL, ...)
object |
fitted model, |
betapar |
character vector giving the names of two beta parameters |
xval |
vector of numeric values for x-dimension of grid |
yval |
vector of numeric values for y-dimension of grid |
centre |
vector of central values for all beta parameters |
realscale |
logical. If TRUE input and output of x and y is on the untransformed (inverse-link) scale. |
plot |
logical. If TRUE a contour plot is produced |
plotfitted |
logical. If TRUE the MLE from |
ncores |
integer number of threads for parallel processing |
... |
other arguments passed to |
centre
is set by default to the fitted values of the beta
parameters in object
. This has the effect of holding parameters
other than those in betapar
at their fitted values.
If xval
or yval
is not provided then 11 values are set at
equal spacing between 0.8 and 1.2 times the values in centre
(on
the ‘real’ scale if realscale
= TRUE and on the ‘beta’ scale
otherwise).
Contour plots may be customized by passing graphical parameters through the ... argument.
Setting ncores = NULL
uses the existing value from the environment variable
RCPP_PARALLEL_NUM_THREADS (see setNumThreads
).
A matrix of the log likelihood evaluated at each
grid point (rows x, columns y), invisibly if plot = TRUE
.
Failed evaluations return NA.
LLsurface
works for named ‘beta’ parameters rather than
‘real’ parameters. The default realscale = TRUE
only works for
beta parameters that share the name of the real parameter to which
they relate i.e. the beta parameter for the base level of the real
parameter. This is because link functions are defined for real
parameters not beta parameters.
The contours are approximate because they rely on interpolation. See Examples for a more reliable way to compare the likelihood at the MLE with nearby points on the surface.
## Not run: LLsurface(secrdemo.CL, xval = seq(0.16,0.40,0.02), yval = 25:35, nlevels = 20) ## now verify MLE ## click on MLE and apparent `peak' xy <- locator(2) LLsurface(secrdemo.CL, xval = xy$x, yval = xy$y, plot = FALSE) ## End(Not run)
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