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Likelihood model

R package: 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).

Installation

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.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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