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Rdistance (version 1.2.2)

Distance Sampling Analyses

Description

Analysis of distance sampling data collected on line transect surveys. Estimates distance-based detection functions and abundances.

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install.packages('Rdistance')

Monthly Downloads

201

Version

1.2.2

License

GNU General Public License

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Maintainer

Trent McDonald

Last Published

April 22nd, 2015

Functions in Rdistance (1.2.2)

print.dfunc

Print a distance function object.
F.maximize.g

F.maximize.g - Finds the coordinate of the maximum of a distance function.
AIC.dfunc

AICc and related fit statistics for detection function objects
ESW

Effective Strip Width for estimated detection functions
plot.dfunc

Plot a distance function.
F.double.obs.prob

F.double.obs.prob - Compute double observer probability of detection. No external covariates allowed.
coef.dfunc

Coefficients of an estimated detection function
F.dfunc.estim

Estimate a detection function from distance-sampling data.
F.start.limits

F.start.limits - Set starting values and limits for parameters of Rdistance functions.
F.nLL

F.nLL - Return the negative log likelihood for a set of distance values.
sparrow.detections

Example data: sparrow detections
F.abund.estim

Estimate abundance from distance-sampling data.
F.gx.estim

F.gx.estim - Estimate g(0) or g(x).
Rdistance-package

Rdistance - Distance Sampling Analyses for Line Transect Data
sparrow.transects

Example data: sparrow transects
uniform.like

Standard likelihood functions for distance analyses.
perp.dists

Compute off-transect distances from sighting distances and angles
print.abund

Print abundance estimates.
integration.constant

Compute the integration constance for distance density functions.
simple.expansion

Calculate simply polynomial expansion for detection function likelihoods.
cosine.expansion

Calcululation of cosine expansion for detection function likelihoods.
Gamma.like

Gamma likelihood for distance analyses
F.automated.CDA

Automated classical distance analysis.
hermite.expansion

Calcululation of Hermite expansion for detection function likelihoods.