| Rdistance-package | Rdistance - Distance Sampling Analyses for Line Transect Data |
| AIC.dfunc | AICc and related fit statistics for detection function objects |
| coef.dfunc | Coefficients of an estimated detection function |
| cosine.expansion | Calcululation of cosine expansion for detection function likelihoods. |
| distance | Rdistance - Distance Sampling Analyses for Line Transect Data |
| 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 |
| halfnorm.like | Standard likelihood functions for distance analyses. |
| hazrate.like | Standard likelihood functions for distance analyses. |
| hermite.expansion | Calcululation of Hermite expansion for detection function likelihoods. |
| integration.constant | Compute the integration constance for distance density functions. |
| negexp.like | Standard likelihood functions for distance analyses. |
| 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. |
| Rdistance | Rdistance - Distance Sampling Analyses for Line Transect Data |
| 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. |