AIC.dfunc               AICc and related fit statistics for detection
                        function objects
EDR                     Effective Detection Radius (EDR) for estimated
                        detection functions with point transects
ESW                     Line transect Effective Strip Width (ESW)
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            Find the coordinate of the maximum of a
                        distance function
F.nLL                   Return the negative log likelihood for a set of
                        distance values
F.start.limits          Set starting values and limits for parameters
                        of Rdistance functions
Gamma.like              Gamma.like - Gamma distance function
Gamma.start.limits      Gamma.start.limits - Start and limit values for
                        Gamma parameters.
Rdistance-package       Rdistance - Distance Sampling Analyses for
                        Abundance Estimation
RdistanceControls       Control parameters for 'Rdistance'
                        optimization.
abundEstim              Estimate abundance from distance-sampling data
autoDistSamp            Automated classical distance analysis
coef.dfunc              Coefficients of an estimated detection function
colorize                colorize - Add color to result if terminal
                        accepts it
cosine.expansion        calculation of cosine expansion for detection
                        function likelihoods
dfuncEstim              Estimate a detection function from
                        distance-sampling data
dfuncSmu                Estimate a non-parametric smooth detection
                        function from distance-sampling data
effectiveDistance       Calculates the effective sampling distance for
                        estimated detection functions
estimateN               Abundance point estimates
getDfuncModelFrame      Return model frame for dfunc
halfnorm.like           Half-normal likelihood function for distance
                        analyses
hazrate.like            hazrate.like - Hazard rate likelihood
hermite.expansion       Calculation of Hermite expansion for detection
                        function likelihoods
integration.constant    Compute the integration constant for distance
                        density functions
isUnitless              isUnitless - Test whether object is unitless
likeParamNames          Likelihood parameter names
lines.dfunc             lines.dfunc - Lines method for distance
                        (detection) functions
logistic.like           logistic.like - Logistic distance function
                        likelihood
logistic.start.limits   logistic.start.limits - Start and limit values
                        for logistic distance function
negexp.like             negexp.like - Negative exponential distance
                        function
perpDists               Compute off-transect distances from sighting
                        distances and angles
plot.dfunc              plot.dfunc - Plot method for distance
                        (detection) functions
predict.dfunc           Predict method for dfunc objects
print.abund             Print abundance estimates
print.dfunc             Print a distance function object
secondDeriv             Numeric second derivatives
simple.expansion        Calculate simple polynomial expansion for
                        detection function likelihoods
smu.like                Smoothed likelihood function for distance
                        analyses
sparrowDetectionData    Brewer's Sparrow detection data
sparrowSiteData         Brewer's Sparrow site data
thrasherDetectionData   Sage Thrasher detection data
thrasherSiteData        thrasherSiteData - Sage Thrasher site data.
uniform.like            uniform.like - Uniform distance likelihood
uniform.start.limits    uniform.start.limits - Start and limit values
                        for uniform distance function
