Man pages for tmcd82070/Rdistance
Density and Abundance from Distance-Sampling Surveys
| abundEstim | abundEstim - Distance Sampling Abundance Estimates |
| AIC.dfunc | AIC.dfunc - AIC-related fit statistics for detection... |
| autoDistSamp | autoDistSamp - Automated classical distance analysis |
| bcCI | bcCI - Bias corrected bootstraps |
| checkNEvalPts | checkNEvalPts - Check number of numeric integration intervals |
| checkUnits | checkUnits - Check for the presence of units |
| coef.dfunc | coef.dfunc - Coefficients of an estimated detection function |
| colorize | colorize - Add color to result if terminal accepts it |
| cosine.expansion | cosine.expansion - Cosine expansion terms |
| dE.multi | dE.multi - Estimate multiple-observer line-transect distance... |
| dE.single | dE.single - Estimate single-observer line-transect distance... |
| dfuncEstim | dfuncEstim - Estimate a distance-based detection function |
| dfuncEstimErrMessage | dfuncEstimErrMessage - dfuncEstim error messages |
| distances | distances - Observation distances |
| EDR | EDR - Effective Detection Radius (EDR) for point transects |
| effectiveDistance | effectiveDistance - Effective sampling distances |
| effort | effort - Effort information |
| errDataUnk | errDataUnk - Unknown error message |
| estimateN | estimateN - Abundance point estimates |
| ESW | ESW - Effective Strip Width (ESW) for line transects |
| expansionTerms | expansionTerms - Distance function expansion terms |
| groupSizes | groupSizes - Group Sizes |
| gxEstim | gxEstim - Estimate g(0) or g(x) |
| halfnorm.like | halfnorm.like - Half-normal distance function |
| halfnorm.start.limits | halfnorm.start.limits - Start and limit values for halfnorm... |
| hazrate.like | hazrate.like - Hazard rate likelihood |
| hazrate.start.limits | hazrate.start.limits - Start and limit values for hazrate... |
| hermite.expansion | Calculation of Hermite expansion for detection function... |
| intercept.only | intercept.only - Detect intercept-only distance function |
| is.points | is.points - Tests for point surveys |
| is.RdistDf | checkRdistDf - Check RdistDf data frames |
| is.smoothed | is.smoothed - Tests for smoothed distance functions |
| is.Unitless | is.Unitless - Test whether object is unitless |
| likeParamNames | Likelihood parameter names |
| lines.dfunc | lines.dfunc - Line plotting method for distance functions |
| maximize.g | maximize.g - Find coordinate of function maximum |
| mlEstimates | mlEstimates - Distance function maximum likelihood estimates |
| model.matrix.dfunc | model.matrix - Rdistance model matrix |
| nCovars | nCovars - Number of covariates |
| negexp.like | negexp.like - Negative exponential likelihood |
| negexp.start.limits | negexp.start.limits - Start and limit values for negexp... |
| nLL | nLL - Negative log likelihood of distances |
| observationType | observationType - Type of observations |
| oneBsIter | oneBsIter - Computations for one bootstrap iteration |
| parseModel | parseModel - Parse Rdistance model |
| perpDists | Compute off-transect distances from sighting distances and... |
| plot.dfunc | plot.dfunc - Plot method for distance (detection) functions |
| plot.dfunc.para | plot.dfunc.para - Plot parametric distance functions |
| predDensity | predDensity - Density on transects |
| predDfuncs | predDfuncs - Predict distance functions |
| predict.dfunc | predict.dfunc - Predict distance functions |
| predLikelihood | predLikelihood - Distance function values at observations |
| print.abund | Print abundance estimates |
| print.dfunc | print.dfunc - Print method for distance function object |
| RdistanceControls | Rdistance optimization control parameters. |
| Rdistance-package | Rdistance - Distance Sampling Analyses for Abundance... |
| RdistDf | RdistDf - Construct Rdistance nested data frames |
| secondDeriv | Numeric second derivatives |
| simple.expansion | Calculate simple polynomial expansion for detection function... |
| sparrowDetectionData | Brewer's Sparrow detection data |
| sparrowDf | Brewer's Sparrow detection data frame in Rdistance >4.0.0... |
| sparrowDfuncObserver | Brewer's Sparrow detection function |
| sparrowSiteData | Brewer's Sparrow site data |
| startLimits | startLimits - Distance function starting values and limits |
| summary.abund | Summarize abundance estimates |
| summary.dfunc | Summarize a distance function object |
| summary.rowwise_df | summary.rowwise_df - Summary method for Rdistance data frames |
| thrasherDetectionData | Sage Thrasher detection data |
| thrasherDf | Sage Thrasher detection data frame in Rdistance >4.0.0 format |
| thrasherSiteData | thrasherSiteData - Sage Thrasher site data. |
| transectType | transectType - Type of transects |
| unnest | unnest - Unnest an RdistDf data frame |
