10.6084/m9.figshare.3511556.v1
Andrew J. Tyre
Andrew J.
Tyre
Brigitte Tenhumberg
Brigitte
Tenhumberg
Scott A. Field
Scott A.
Field
Darren Niejalke
Darren
Niejalke
Kirsten Parris
Kirsten
Parris
Hugh P. Possingham
Hugh
P. Possingham
Supplement 1. An R package for fitting zero-inflated binomial models to biological survey data.
Wiley
2016
biological surveys
false-negative errors
habitat effects
zero-inflated binomial (ZIB) model
presence–absence data
Environmental Science
Ecology
2016-08-04 08:02:08
Dataset
https://wiley.figshare.com/articles/dataset/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>