Distance2.0.0 package

Distance Sampling Detection Function and Abundance Estimation

add_df_covar_line

Add covariate levels detection function plots

AIC.dsmodel

Akaike's An Information Criterion for detection functions

bootdht_Dhat_summarize

Simple summary of density results for bootstrap model

bootdht_Nhat_summarize

Simple summary of abundance results for bootstrap model

bootdht

Bootstrap uncertainty estimation for distance sampling models

checkdata

Check that the data supplied to ds is correct

convert_units

Convert units for abundance estimation

create_bins

Create bins from a set of binned distances and a set of cutpoints.

create.bins

Create bins from a set of binned distances and a set of cutpoints.

dht2

Abundance estimation for distance sampling models

Distance-package

Distance sampling

ds.gof

Goodness of fit tests for distance sampling models

ds

Fit detection functions and calculate abundance from line or point tra...

dummy_ddf

Detection function objects when detection is certain

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

make_activity_fn

Multiplier bootstrap helper functions

p_dist_table

Distribution of probabilities of detection

plot.dsmodel

Plot a fitted detection function

predict.dsmodel

Predictions from a fitted detection function

predict.fake_ddf

Prediction for fake detection functions

print.dht_result

Print abundance estimates

print.dsmodel

Simple pretty printer for distance sampling analyses

print.summary.dsmodel

Print summary of distance detection function model object

QAIC

Tools for model selection when distance sampling data are overdisperse...

summarize_ds_models

Make a table of summary statistics for detection function models

summary.dht_bootstrap

Summarize bootstrap abundance uncertainty estimate output

summary.dsmodel

Summary of distance sampling analysis

unflatten

Unflatten flatfile data.frames

units_table

Generate table of unit conversions

wren

Steve Buckland's winter wren surveys

A simple way of fitting detection functions to distance sampling data for both line and point transects. Adjustment term selection, left and right truncation as well as monotonicity constraints and binning are supported. Abundance and density estimates can also be calculated (via a Horvitz-Thompson-like estimator) if survey area information is provided. See Miller et al. (2019) <doi:10.18637/jss.v089.i01> for more information on methods and <https://examples.distancesampling.org/> for example analyses.

  • Maintainer: Laura Marshall
  • License: GPL (>= 2)
  • Last published: 2024-10-24