10.6084/m9.figshare.3511556.v1
Andrew J. Tyre
Brigitte Tenhumberg
Scott A. Field
Darren Niejalke
Kirsten Parris
Hugh P. Possingham
Supplement 1. An R package for fitting zero-inflated binomial models to biological survey data.
2016
Wiley
biological surveys
false-negative errors
habitat effects
zero-inflated binomial (ZIB) model
presence–absence data
2016-08-04 08:02:08
article
https://wiley.figshare.com/articles/Supplement_1_An_R_package_for_fitting_zero-inflated_binomial_models_to_biological_survey_data_/3511556
<h2>File List</h2><blockquote>
<p><a href="obserr_0.3-1.zip">obserr_0.3-1.zip</a>
<br>
<a href="obserr_0.3-1.tar.gz">obserr_0.3-1.tar.gz</a></p></blockquote><h2>Description</h2><blockquote>
<p>This is an add-on package for
the statistical system R, used to fit zero-inflated binomial distributions
to biological survey data by maximum-likelihood estimation. It is known to
work with all versions of R above 1.5.0. R can be downloaded from the <a href="http://www.r-project.org/">R
Project for Statistical Computing</a> . obserr_0.3-1.zip
is a "compiled" package ready for installation in R running under Microsoft
Windows, while obserr_0.3-1.tar.gz
is a "source" package that requires the R source code development tools for
installation, but can be installed in R under any operating system. </p>
<p> In both archives, the source
code for all functions is in obserr\R\obserror.R,
and html formatted documentation for all functions is available in the zip
archive under obserr\chm\*.html.
Documentation is also present in the tar and gzip'ed archive, but it is in
R documentation format, which can be processed into a variety of formats using
the R source development tools.</p>
<p>Under R for Windows, install the downloaded package using the Packages|Install
package from local zip file... menu item. Once installed, the functions and
associated documentation are made available in a session using the Packages|Load
package menu command, or by typing library(obserr)
at the command prompt. The documentation on the functions can be accessed
either through the HTML index from the R for Windows Help menu, or by typing
help(obs.error) at the command
prompt after loading the package.</p>
</blockquote>