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,
                    std.err, 
                    tol.newmin = 0.001, debug=FALSE, ...)

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 (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?
... additional arguments (not used)

Details

The profiling process starts out by ...

See Also

profile.mle-class


[Package bbmle version 0.9.0 Index]