Man pages for tmcd82070/Rdistance
Distance-Sampling Analyses for Density and Abundance Estimation
| abundEstim | Estimate abundance from distance-sampling data |
| AIC.dfunc | AICc and related fit statistics for detection function... |
| 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... |
| dfuncEstim | Estimate a detection function from distance-sampling data |
| dfuncSmu | Estimate a non-parametric smooth detection function from... |
| EDR | Effective Detection Radius (EDR) for estimated detection... |
| effectiveDistance | Calculates the effective sampling distance for estimated... |
| estimateN | Abundance point estimates |
| ESW | Line transect Effective Strip Width (ESW) |
| F.double.obs.prob | Compute double observer probability of detection (No external... |
| 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... |
| F.start.limits | Set starting values and limits for parameters of Rdistance... |
| Gamma.like | Gamma.like - Gamma distance function |
| Gamma.start.limits | Gamma.start.limits - Start and limit values for Gamma... |
| 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... |
| integration.constant | Compute the integration constant for distance density... |
| 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... |
| negexp.like | negexp.like - Negative exponential distance function |
| perpDists | Compute off-transect distances from sighting distances and... |
| 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 |
| RdistanceControls | Control parameters for 'Rdistance' optimization. |
| Rdistance-package | Rdistance - Distance Sampling Analyses for Abundance... |
| secondDeriv | Numeric second derivatives |
| simple.expansion | Calculate simple polynomial expansion for detection function... |
| smu.like | Smoothed likelihood function for distance analyses |
| sparrowDetectionData | Brewer's Sparrow detection data |
| sparrowSiteData | Brewer's Sparrow site data |
| summary.abund | Summarize abundance estimates |
| summary.dfunc | Summarize a distance function object |
| 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... |
