The R package likelihood.model is designed for specifying and using
likelihood models for statistical inference.
The basic likelihood model is a concept that, in order for your object
to satisfy, must implement a number of generic functions/methods. The
package provides a class, likelihood_contr_model, which implements
these functions and serves as a flexible framework for specifying
likelihood models based on the idea of independent likelihood
contributions for different types of observations, e.g., right-censored
versus exact observations.
The package is designed to be used with the
algebraic.mle package,
which provides a framework for performing maximum likelihood estimation
(MLE).
You can install the development version of likelihood.model from
GitHub with:
if (!require(devtools)) {
install.packages("devtools")
}
devtools::install_github("queelius/likelihood.model")See the package website for more information.