waternk / rcppocc

'Rcppocc' is a package that can be used to fit single-season Bayesian occupancy models as well as a restricted spatial regression (RSRS) occupancy model. models as well as a restricted spatial regression (RSR) occupancy model. It is assumed that the regression effects are modelled using logit link functions.

The following package can be installed as follows:

1. Install the 'devtools' package in R or RStudio. (i.e. install.packages("devtools"))
2. Now type the following R lines of code in your R workspace:

require(devtools)
install_github("AllanClark/Rcppocc")

'Rcppocc' should now install. If not, see the additional notes.

Additional notes:

1. Ensure that the latest version of the 'stocc' package is also installed.
2. You might also have to update your version of R so that it is compatible with 'stocc'.
3. Install the latest version of 'Rtools'.
4. If you ae using old versions of R and using a Mac, have a look at 'https://thecoatlessprofessor.com/programming/r-compiler-tools-for-rcpp-on-macos/' since there might be compilation errors specific to your laptop/computer.
5. If you are a Mac user you might also have to install 'clang'. See 'https://github.com/rmacoslib/r-macos-clang'.

If the above installation does not work email your compilation errors and the specs of the your system to [email protected].

A quick note on exiting 'Rcppocc':

If you do not want to use the package in your current project, detach the package as follows:

detach("package:Rcppocc", unload=TRUE)