| Distance-package | Distance sampling |
| AIC.dsmodel | Akaike's An Information Criterion for detection functions |
| amakihi | Amakihi (Hemignathus virens) point transect data |
| checkdata | Check that the data supplied to 'ds' is correct |
| create.bins | Create bins from a set of binned distances and a set of cutpoints. |
| Distance | Distance sampling |
| ds | Fit detection functions and calculate abundance from line or point transect data |
| ds.gof | Goodness of fit tests for distance sampling models |
| flatfile | The flatfile data format |
| gof_ds | Goodness of fit testing and quantile-quantile plots |
| logLik.dsmodel | log-likelihood value for a fitted detection function |
| minke | Simulated minke whale data |
| plot.dsmodel | Plot a fitted detection function |
| print.dsmodel | Simple pretty printer for distance sampling analyses |
| print.summary.dsmodel | Print summary of distance detection function model object |
| summarize_ds_models | Make a table of summary statistics for detection function models |
| summary.dsmodel | Summary of distance sampling analysis |