Newer
Older
evidence).
\item Perform a sensitivity analysis with respect to the prior
distribution. For example, visualize the Bayes factors for different
prior standard deviations to assess the robustness of the
conclusions.
\end{enumerate}
% \\ \bottomrule
\end{tabular}
}
We thank the RPCB contributors for their tremendous efforts and for making their
data publicly available. We thank Maya Mathur for helpful advice on data
preparation. We thank Benjamin Ineichen for helpful comments on drafts of the
manuscript. Our acknowledgement of these individuals does not imply their
endorsement of our work. We thank the Swiss National Science Foundation for
financial support (grant
\href{https://data.snf.ch/grants/grant/189295}{\#189295}).
The code and data to reproduce our analyses is openly available at
\url{https://gitlab.uzh.ch/samuel.pawel/rsAbsence}. A snapshot of the repository
at the time of writing is available at
\url{https://doi.org/10.5281/zenodo.XXXXXX}. We used the statistical programming
language R version \Sexpr{paste(version$major, version$minor, sep = ".")}
\citep{R} for analyses. The R packages \texttt{ggplot2} \citep{Wickham2016},
\texttt{dplyr} \citep{Wickham2022}, \texttt{knitr} \citep{Xie2022}, and
\texttt{reporttools} \citep{Rufibach2009} were used for plotting, data
preparation, dynamic reporting, and formatting, respectively. The data from the
RPCB were obtained by downloading the files from
\url{https://github.com/mayamathur/rpcb} (commit a1e0c63) and extracting the
relevant variables as indicated in the R script \texttt{preprocess-rpcb-data.R}
<< "sessionInfo1", eval = Reproducibility, results = "asis" >>=
## print R sessionInfo to see system information and package versions
## used to compile the manuscript (set Reproducibility = FALSE, to not do that)
cat("\\newpage \\section*{Computational details}")
@
<< "sessionInfo2", echo = Reproducibility, results = Reproducibility >>=
cat(paste(Sys.time(), Sys.timezone(), "\n"))