R: Likelihood-Based Statistical Inference in the Fisherian Tradition

# Likelihood-Based Statistical Inference in the Fisherian Tradition

## Documentation for package ‘likelihood.model’ version 1.0.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

likelihood.model-package | likelihood.model: Likelihood-Based Inference in the Fisherian Tradition
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
evidence.likelihood_model | 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
fisherian | Fisherian Likelihood Inference
fisher_boot | Bootstrap MLE Estimate
fisher_mle | Maximum Likelihood Estimate (Fisherian)
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 | likelihood.model: Likelihood-Based Inference in the Fisherian Tradition
likelihood_interval | Likelihood Interval
likelihood_interval.fisher_mle | Likelihood Interval
loglik | Log-likelihood method
loglik.exponential_lifetime | Log-likelihood for exponential_lifetime
logLik.fisher_mle | Extract log-likelihood from fisher_mle object
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
profile_loglik.fisher_mle | 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
relative_likelihood.fisher_mle | 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)
support.fisher_mle | Support Function (Log Relative Likelihood)
vcov.fisher_mle | Extract variance-covariance matrix from fisher_mle object