# Package development moved to github

This page is outdated. Please refer to github.com/bgctw/logitnorm.
# logitnorm

Utilities for the logitnormal distribution in R
- Density, distribution, quantile and random generation function.
- Estimation of the mode and the first two moments.
- Estimation of distribution parameters.

## Download/Install

- from download page on R-Forge
- To install this package directly within R type:
`install.packages("logitnorm", repos="http://R-Forge.R-project.org")`

## Documentaion

The package comes with documentaion and examples.
Within R type:
## Distribution

The logitnormal distribution is useful as a prior density for variables that are bounded
between 0 and 1, such as proportions. Fig. 1 displays its density for various combinations of
parameters mu and sigma.

Fig. 1 Density for for various combinations of mu and sigma.

Example:
Plot the cumulative distribution

## Mean and Variance

The moments have no analytical solution. This package estimates them
by numerical integration:
Example:
estimate mean and standard deviation.

## Mode

The mode is found by setting derivatives to zero and optimizing
the resulting equation:

Example:
estimate the mode

0.664141601528398

## Parameter Estimation

from upper quantile and
- mode (Maximum Likelihood Estimate)
- mean (Expected value)
- median

Example:
estimate the parameters, with mode 0.7 and upper quantile 0.9

## References

Frederic, P. & Lad, F. (2008)
Two Moments of the Logitnormal Distribution.
*Communications in Statistics-Simulation and Computation*,
37, 1263-1269
Generated by sweave on: 2010-09-17.

The **project summary page** you can find **here**.