profile-methods {bbmle}R Documentation

Likelihood profiles

Description

Create likelihood profiles for a fitted model

Usage

## S4 method for signature 'mle2':
profile(fitted, which = 1:p, maxsteps = 100,
                    alpha = 0.01, zmax = sqrt(qchisq(1 - alpha/2, p)),
                    del = zmax/5, trace = FALSE, skiperrs=TRUE,
                    tol.newmin = 0.001, ...)

Arguments

fitted A fitted maximum likelihood model of class “mle2”
which 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 confidence level
zmax maximum value of negative log-likelihood (default is the likelihood ratio test critical value corresponding 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?
tol.newmin tolerance for finding a new minimum below the minimum negative log-likelihood estimated in initial fit
... not used

Details

The profiling process starts out by ...

See Also

profile.mle-class


[Package bbmle version 0.8.5 Index]