AIC.dfunc               AICc and related fit statistics for detection
                        function objects
ESW                     Effective Strip Width for estimated detection
                        functions
F.abund.estim           Estimate abundance from distance-sampling data.
F.automated.CDA         Automated classical distance analysis.
F.dfunc.estim           Estimate a detection function from
                        distance-sampling data.
F.double.obs.prob       F.double.obs.prob - Compute double observer
                        probability of detection. No external
                        covariates allowed.
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.
F.nLL                   F.nLL - Return the negative log likelihood for
                        a set of distance values.
F.start.limits          F.start.limits - Set starting values and limits
                        for parameters of Rdistance functions.
Gamma.like              Gamma likelihood for distance analyses
Rdistance-package       Rdistance - Distance Sampling Analyses for Line
                        Transect Data
coef.dfunc              Coefficients of an estimated detection function
cosine.expansion        Calcululation of cosine expansion for detection
                        function likelihoods.
hermite.expansion       Calcululation of Hermite expansion for
                        detection function likelihoods.
integration.constant    Compute the integration constance for distance
                        density functions.
perp.dists              Compute off-transect distances from sighting
                        distances and angles
plot.dfunc              Plot a distance function.
print.abund             Print abundance estimates.
print.dfunc             Print a distance function object.
simple.expansion        Calculate simply polynomial expansion for
                        detection function likelihoods.
sparrow.detections      Example data: sparrow detections
sparrow.transects       Example data: sparrow transects
uniform.like            Standard likelihood functions for distance
                        analyses.
