README.Rmd

---
title: "Likelihood model"
output: github_document
---

# R package: `likelihood.model`

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```

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`](https://github.com/queelius/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](https://github.com/queelius/likelihood.model) with:

```{r install, eval=FALSE}
if (!require(devtools)) {
    install.packages("devtools")
}
devtools::install_github("queelius/likelihood.model")
```

See the [package website](https://queelius.github.io/likelihood.model/) for
more information.