likelihood.model
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.