Reference

All functions
aic(<fisher_mle>)	Compute AIC for fisher_mle
algebraic.mle-reexports se bias aic loglik_val score_val sampler params nparams observed_fim obs mse	Generics re-exported from algebraic.mle
assumptions()	Retrieve the assumptions the likelihood model makes about the data.
assumptions(<exponential_lifetime>)	Assumptions for exponential_lifetime
assumptions(<likelihood_contr_model>)	Retrieve the assumptions in the likelihood contributions model.
assumptions(<likelihood_name_model>)	List the assumptions made by the model
assumptions(<weibull_uncensored>)	List the assumptions made by the model.
bias(<fisher_boot>)	Compute bootstrap bias estimate
bias(<fisher_mle>)	Bias for fisher_mle (asymptotic)
bic()	Compute BIC
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_contr_model>)	Hessian of log-likelihood method for likelihood_contr_model
hess_loglik(<likelihood_model>)	Default method to compute the hessian of the log-likelihood.
hess_loglik(<weibull_uncensored>)	Hessian of the log-likelihood function generator for the Weibull uncensored model.
is_likelihood_model()	Check if an object is a likelihood model
likelihood.model likelihood.model-package	likelihood.model: Likelihood-Based Inference in the Fisherian Tradition
likelihood_contr_model	Likelihood_contr_model
likelihood_interval()	Likelihood Interval
likelihood_name()	Likelihood model generator for standard R distributions
logLik(<fisher_mle>)	Extract log-likelihood from fisher_mle object
loglik()	Log-likelihood method
loglik(<exponential_lifetime>)	Log-likelihood for exponential_lifetime
loglik(<likelihood_contr_model>)	Log-likelihood method for likelihood_contr_model
loglik(<likelihood_name_model>)	Log-likelihood function for named distribution models
loglik(<weibull_uncensored>)	Log-likelihood function generator for the Weibull uncensored model.
loglik_val(<fisher_mle>)	Extract log-likelihood value from fisher_mle
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
observed_info()	Observed information matrix method
observed_info(<likelihood_model>)	Default observed information method
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(<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
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_contr_model>)	Score method for likelihood_contr_model
score(<likelihood_model>)	Default score method
score(<weibull_uncensored>)	Score function generator for the Weibull uncensored model.
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
weibull_uncensored() likelihood_exact_weibull()	Weibull likelihood model (uncensored)