Man pages for likelihood.model
Likelihood-Based Statistical Inference in the Fisherian Tradition
| assumptions | Retrieve the assumptions the likelihood model makes about the... |
| 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 |
| dot-exponential_sufficient_stats | Compute sufficient statistics for the exponential model |
| 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 |
| fisherian | Fisherian Likelihood Inference |
| 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_interval | Likelihood Interval |
| likelihood.model-package | likelihood.model: Likelihood-Based Inference in the Fisherian... |
| 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 |
| observed_fim.fisher_mle | Observed Fisher information matrix from fisher_mle |
| obs.fisher_mle | Extract observed data 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... |
| 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 |
