Reference

assumptions()

Retrieve the assumptions the likelihood model makes about the data.

assumptions(<likelihood_contr_model>)

Retrieve the assumptions in the likelihood contributions model.

assumptions(<likelihood_exact_weibull>)

List the assumptions made by the model.

assumptions(<likelihood_name_model>)

List the assumptions made by the model.

dof()

Generic method for extracting the degrees of freedom from a hypothesis test

fim()

Fisher information matrix method

fit(<likelihood_model>)

Default MLE solver for subclasses of likelihood_model.

hess_loglik()

Hessian of log-likelihood method

hess_loglik(<likelihood_contr_model>)

Hessian of log-likelihood method for likelihood_contr_model

hess_loglik(<likelihood_exact_weibull>)

Hessian of the log-likelihood function generator for the weibull likelihood model.

hess_loglik(<likelihood_model>)

Default method to compute the hessian of the log-likelihood.

hypothesis_test()

Hypothesis test structure

is_likelihood_model()

Likelihood model

likelihood_contr_model

Likelihood_contr_model

likelihood_exact_weibull()

Exact Weibull likelihood model

likelihood_name()

This is a likelihood model generator based on the convention used in R, where we have a name for a distribution, like normal, weibull, exp, etc. and then we have a set of functions that are named p<name>, d<name>, q<name>, r<name>, etc., where the first letter is the first letter of the distribution name. For instance, for the normal distribution, we have pnorm, dnorm, qnorm, rnorm, respectively for the cdf, pdf, quantile function, and random variate generator.

loglik()

Log-likelihood method

loglik(<likelihood_contr_model>)

Log-likelihood method for likelihood_contr_model

loglik(<likelihood_exact_weibull>)

Log-likelihood function generator for the exact Weibull likelihood model.

loglik(<likelihood_name_model>)

Log-likelihood function generator for the named likelihood model.

lrt()

Likelihood ratio test

pval()

Generic method for extracting the p-value from a hypothesis test

pval(<hypothesis_test>)

p-value method for hypothesis tests

sampler(<likelihood_model>)

Estimate the sampling distribution of the MLE for a likelihood model.

score()

Score method

score(<likelihood_contr_model>)

Score method for likelihood_contr_model

score(<likelihood_exact_weibull>)

Score function generator for the exact Weibull likelihood model.

score(<likelihood_model>)

Default score method