assumptions             Retrieve the assumptions the likelihood model
                        makes about the data.
assumptions.exponential_lifetime
                        Assumptions for exponential_lifetime
bias.fisher_boot        Compute bootstrap bias estimate
bias.fisher_mle         Bias for fisher_mle
coef.fisher_mle         Extract coefficients from fisher_mle object
confint.fisher_boot     Confidence intervals from bootstrap
confint.fisher_mle      Compute confidence intervals for fisher_mle
                        parameters
deviance.fisher_mle     Deviance for likelihood models
evidence                Likelihood-Based Evidence
exponential_lifetime    Exponential lifetime model with right-censoring
                        support
fim                     Fisher information matrix method
fim.exponential_lifetime
                        Fisher information matrix for
                        exponential_lifetime
fim.likelihood_model    Default FIM method using Monte Carlo estimation
fisher_boot             Bootstrap MLE Estimate
fisher_mle              Maximum Likelihood Estimate (Fisherian)
fisherian               Fisherian Likelihood Inference
fit                     Fit a model
fit.exponential_lifetime
                        Closed-form MLE for exponential_lifetime
fit.likelihood_model    Default MLE solver for subclasses of
                        'likelihood_model'.
hess_loglik             Hessian of log-likelihood method
hess_loglik.exponential_lifetime
                        Hessian of the log-likelihood for
                        exponential_lifetime
hess_loglik.likelihood_model
                        Default method to compute the hessian of the
                        log-likelihood.
is_likelihood_model     Check if an object is a likelihood model
likelihood.model-package
                        likelihood.model: Likelihood-Based Inference in
                        the Fisherian Tradition
likelihood_interval     Likelihood Interval
logLik.fisher_mle       Extract log-likelihood from fisher_mle object
loglik                  Log-likelihood method
loglik.exponential_lifetime
                        Log-likelihood for exponential_lifetime
loglik.likelihood_model
                        Default loglik method
lrt                     Likelihood ratio test
mse.fisher_mle          Mean squared error for fisher_mle
nobs.fisher_mle         Extract number of observations from fisher_mle
                        object
nparams.fisher_mle      Number of parameters in fisher_mle
obs.fisher_mle          Extract observed data from fisher_mle
observed_fim.fisher_mle
                        Observed Fisher information matrix from
                        fisher_mle
params.fisher_mle       Extract parameter estimates from fisher_mle
print.fisher_boot       Print fisher_boot object
print.fisher_mle        Print fisher_mle object
print.likelihood_interval
                        Print likelihood interval
print.likelihood_model
                        Print method for likelihood models
print.lrt_result        Print method for likelihood ratio test results
print.profile_loglik    Print profile log-likelihood
print.summary_fisher_mle
                        Print summary of fisher_mle
profile_loglik          Profile Log-Likelihood
rdata                   Random data generation method
rdata.exponential_lifetime
                        Random data generation for exponential_lifetime
rdata.likelihood_model
                        Default rdata method
relative_likelihood     Relative Likelihood
sampler.fisher_boot     Bootstrap sampler for fisher_boot
sampler.fisher_mle      Asymptotic sampler for fisher_mle
sampler.likelihood_model
                        Estimate the sampling distribution of the MLE
                        for a likelihood model.
score                   Score method
score.exponential_lifetime
                        Score for exponential_lifetime
score.likelihood_model
                        Default score method
score_val.fisher_mle    Extract score vector from fisher_mle
se.fisher_mle           Extract standard errors from fisher_mle
summary.fisher_mle      Summarize fisher_mle object
support                 Support Function (Log Relative Likelihood)
vcov.fisher_mle         Extract variance-covariance matrix from
                        fisher_mle object
