Description Usage Arguments Value Author(s) Examples
Plot slices of the synthetic log-likelihood.
1 2 3 4 |
object |
|
ranges |
ranges of values along which we want the
slices. If |
nsim |
Number of simulations used to evaluate the synthetic likelihood at each location. |
param |
Named vector containing the value of the ALL
parameters (including the sliced one). Parameters that
are not in |
pairs |
if |
draw |
If |
trans |
Named vector or list of transformations to
be applied to the parameters in |
multicore |
If |
ncores |
Number of cores to use if |
cluster |
An object of class |
... |
additional arguments to be passed to
|
Either a vector or matrix of log-synthetic likelihood
estimates, depending on whether length(parNames)
==
1 or 2. These are returned invisibly.
Matteo Fasiolo <matteo.fasiolo@gmail.com>
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | data(ricker_sl)
# Plotting slices of the logLikelihood
slice(object = ricker_sl,
ranges = list("logR" = seq(3.5, 3.9, by = 0.01),
"logPhi" = seq(2, 2.6, by = 0.01),
"logSigma" = seq(-2, -0.5, by = 0.01)),
param = c(logR = 3.8, logSigma = log(0.3), logPhi = log(10)),
nsim = 500)
## Not run:
# Plotting a contour of the logLikelihood
slice(object = ricker_sl,
ranges = list("logR" = seq(3.5, 3.9, by = 0.01),
"logPhi" = seq(2, 2.6, by = 0.01),
"logSigma" = seq(-2, -0.5, by = 0.04)),
pairs = TRUE,
param = c(logR = 3.8, logSigma = log(0.3), logPhi = log(10)),
nsim = 500, multicore = TRUE)
## End(Not run)
|
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