Learn R Programming
⚠️There's a newer version (4.3.1) of this package.Take me there.

Rdistance (version 1.1)

Distance sampling analyses

Description

Analysis of line transect surveys. Estimates distance-based sightability functions and abundances.

Copy Link

Version

Install

install.packages('Rdistance')

Monthly Downloads

412

Version

1.1

License

GNU General Public License

Maintainer

Trent McDonald

Last Published

December 7th, 2012

Functions in Rdistance (1.1)

ESW

Effective Strip Width for estimated distance functions
F.gx.estim

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

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

AICc and related fit statistics for distance function objects
F.nLL

F.nLL - Return the negative log likelihood for a set of distance values.
F.double.obs.prob

F.double.obs.prob - Compute double observer probability of detection. No external covariates allowed.
cosine.expansion

Calcululation of cosine expansion for detection function likelihoods.
F.abund.estim

F.abund.estim - Estimate abundance from distance data.
simple.expansion

Calculate simply polynomial expansion for detection function likelihoods.
F.dfunc.estim

F.dfunc.estim - Estimate a distance function.
integration.constant

Compute the integration constance for distance density functions.
print.dfunc

Print a distance function object.
uniform.like

Standard likelihood functions for distance analyses.
coef.dfunc

Coefficients of an estimated distance function
Gamma.like

Gamma likelihood for distance analyses
plot.dfunc

Plot a distance function.
F.automated.CDA

F.automated.CDA - Automated classical distance analysis.
F.start.limits

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

Rdistance - Distance and Line Transect Analyses.
hermite.expansion

Calcululation of Hermite expansion for detection function likelihoods.
print.abund

Print abundance estimates.