Likelihood-Based Statistical Inference in the Fisherian Tradition

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Documentation for package ‘likelihood.model’ version 1.0.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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