This directory contains

by John M. Marzluff, J. J. Millspaugh, P. Hurvitz, and Mark S. Handcock.

The software can be used freely for non-commercial purposes. You may modify and distribute the code for NON-commercial purposes, as long as this statement and the contact information is included.

While this software has now been developed and used by the authors and others, a new user may well experience some problems or bugs. Please report these by email to handcock@stat.ucla.edu, and we will work with you to resolve the problem.

The software:

- The
`R``package`called`ruf`should be installed from within`R`. It is software to estimate resource utilization function from point measurements of use and related functions. Also functions to estimate summary measures and their uncertainties. - The package is hosted on GitHub and so the easiest thing to do is to go to that site: https://github.com/handcock/ruf
- To install the
`ruf`package from GitHub when you have`Rtools4.0`installed, simply open`R`and type`if (!requireNamespace("remotes")) install.packages("remotes")`

`remotes::install_github("handcock/ruf")` - If that fails you can try the pre-compiled versions via:
`install.packages("ruf",repos="http://www.stat.ucla.edu/~handcock")` - Once the package has been downloaded and installed,
it can be used by typing the call
`library(ruf)`To see help on the functions type:

`help(ruf.fit)` - rufexample.r:
This is an example
`R`program to reconstruct the analysis in the paper. It estimates the parameters of the model and related measures of uncertainty. This requires the above`ruf`package. - Here is the reference manual
for the
`ruf`package.

Description of programs, and further information about the data sets, can be found in the paper.