Density and Abundance from Distance-Sampling Surveys


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Documentation for package ‘Rdistance’ version 4.0.5

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Rdistance-package Rdistance - Distance Sampling Analyses for Abundance Estimation
abundEstim abundEstim - Distance Sampling Abundance Estimates
AIC.dfunc AIC.dfunc - AIC-related fit statistics for detection functions
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
control Rdistance optimization control parameters.
controls Rdistance optimization control parameters.
cosine.expansion cosine.expansion - Cosine expansion terms
dE.multi dE.multi - Estimate multiple-observer line-transect distance functions
dE.single dE.single - Estimate single-observer line-transect distance function
dfuncEstim dfuncEstim - Estimate a distance-based detection function
dfuncEstimErrMessage dfuncEstimErrMessage - dfuncEstim error messages
distance Rdistance - Distance Sampling Analyses for Abundance Estimation
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 distance function
hazrate.like hazrate.like - Hazard rate likelihood
hazrate.start.limits hazrate.start.limits - Start and limit values for hazrate distance function
hermite.expansion Calculation of Hermite expansion for detection function likelihoods
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
line-transect Rdistance - Distance Sampling Analyses for Abundance Estimation
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 distance function
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 angles
plot.dfunc plot.dfunc - Plot method for distance (detection) functions
plot.dfunc.para plot.dfunc.para - Plot parametric distance functions
point-transect Rdistance - Distance Sampling Analyses for Abundance Estimation
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
Rdistance Rdistance - Distance Sampling Analyses for Abundance Estimation
RdistanceControls Rdistance optimization control parameters.
RdistDf RdistDf - Construct Rdistance nested data frames
secondDeriv Numeric second derivatives
simple.expansion Calculate simple polynomial expansion for detection function likelihoods
sparrowDetectionData Brewer's Sparrow detection data
sparrowDf Brewer's Sparrow detection data frame in Rdistance >4.0.0 format.
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