AIC.dfunc               AIC.dfunc - AIC-related fit statistics for
                        detection functions
EDR                     EDR - Effective Detection Radius (EDR) for
                        point transects
ESW                     ESW - Effective Strip Width (ESW) for line
                        transects
RdistDf                 RdistDf - Construct Rdistance nested data
                        frames
Rdistance-package       Rdistance - Distance Sampling Analyses for
                        Abundance Estimation
RdistanceControls       Rdistance optimization control parameters.
abundEstim              abundEstim - Distance Sampling Abundance
                        Estimates
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 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
distances               distances - Observation distances
effectiveDistance       effectiveDistance - Effective sampling
                        distances
effort                  effort - Effort information
errDataUnk              errDataUnk - Unknown error message
estimateN               estimateN - Abundance point estimates
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.RdistDf              checkRdistDf - Check RdistDf data frames
is.Unitless             is.Unitless - Test whether object is unitless
is.points               is.points - Tests for point surveys
is.smoothed             is.smoothed - Tests for smoothed distance
                        functions
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
nLL                     nLL - Negative log likelihood of distances
negexp.like             negexp.like - Negative exponential likelihood
negexp.start.limits     negexp.start.limits - Start and limit values
                        for negexp distance function
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
predDensity             predDensity - Density on transects
predDfuncs              predDfuncs - Predict distance functions
predLikelihood          predLikelihood - Distance function values at
                        observations
predict.dfunc           predict.dfunc - Predict distance functions
print.abund             Print abundance estimates
print.dfunc             print.dfunc - Print method for distance
                        function object
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
