a numeric or character vector describing which parameters
to profile (default is to profile all parameters)
maxsteps
maximum number of steps to take looking for an upper
value of the negative log-likelihood
alpha
maximum (two-sided) likelihood ratio test confidence
level to find
zmax
maximum value of signed square root of deviance difference
to find (default value corresponds to a
2-tailed chi-squared test at level alpha)
del
step size for profiling
trace
(logical) produce tracing output?
skiperrs
(logical) ignore errors produced during profiling?
std.err
Optional numeric vector of standard errors, for cases
when the Hessian is badly behaved. Will be replicated if necessary,
and NA values will be replaced by the corresponding values from
the fit summary
tol.newmin
tolerance for diagnosing a new minimum below the
minimum deviance estimated in initial fit is found
debug
(logical) debugging output?
prof.lower
optional vector of lower bounds for profiles
prof.upper
optional vector of upper bounds for profiles
skip.hessian
skip hessian (defunct?)
try_harder
(logical) ignore NA and flat spots in the
profile, try to continue anyway?
...
additional arguments (not used)
Details
See the vignette (vignette("mle2",package="bbmle"))
for more technical details of how profiling is done.