tmbroot | R Documentation |
Compute likelihood profile confidence intervals of a TMB object by root-finding
in contrast to tmbprofile
, which tries to compute
somewhat equally spaced values along the likelihood profile (which
is useful for visualizing the shape of the likelihood surface),
and then (via confint.tmbprofile
) extracting a
critical value by linear interpolation,
tmbroot(obj, name, target = 0.5 * qchisq(0.95, df = 1), lincomb, parm.range = c(NA, NA), sd.range = 7, trace = FALSE, continuation = FALSE)
obj |
Object from |
name |
Name or index of a parameter to profile. |
target |
desired deviation from minimum log-likelihood. Default is set to retrieve the 95 if the objective function is a negative log-likelihood function |
lincomb |
Optional linear combination of parameters to
profile. By default a unit vector corresponding to |
parm.range |
lower and upper limits; if |
sd.range |
in the absence of explicit |
trace |
report information? |
continuation |
use continuation method, i.e. set starting parameters for non-focal parameters to solutions from previous fits? |
a two-element numeric vector containing the lower and upper limits (or NA
if the target is not achieved in the range), with an attribute giving the total number of function iterations used
## Not run: runExample("simple",thisR=TRUE) logsd0.ci <- tmbroot(obj,"logsd0") ## End(Not run)
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