%#%                     Unit assignment helpers
AIC.dfunc               AIC-related fit statistics for detection
                        functions
EDR                     Effective Detection Radius (EDR) for point
                        transects
ESW                     Effective Strip Width (ESW) for line transects
HookeJeeves             'nlminb' optimizer
Nlminb                  'nlminb' optimizer
Optim                   'optim' optimizer
RdistDf                 Construct Rdistance nested data frames
Rdistance-package       Rdistance - Distance Sampling Analyses for
                        Abundance Estimation
RdistanceControls       Rdistance optimization control parameters.
abundEstim              Distance Sampling Abundance Estimates
autoDistSamp            Automated classical distance analysis
bcCI                    Bias corrected bootstraps
bspline.expansion       B-spline expansion terms
checkNEvalPts           Check number of numeric integration intervals
checkUnits              Check for the presence of units
coef.dfunc              Coefficients of an estimated detection function
colorize                Add color to result if terminal accepts it
cosine.expansion        Cosine expansion terms
dE.multi                Estimate multiple-observer line-transect
                        distance functions
dE.single               Estimate single-observer line-transect distance
                        function
dfuncEstim              Estimate a distance-based detection function
dfuncEstimErrMessage    dfuncEstim error messages
differentiableLikelihoods
                        Differentiable likelihoods in Rdistance
distances               Observation distances
effectiveDistance       Effective sampling distances
effort                  Effort information
errDataUnk              Unknown error message
estimateN               Abundance point estimates
expansionTerms          Distance function expansion terms
groupSizes              Group Sizes
gxEstim                 Estimate g(0) or g(x)
halfnorm.like           Half-normal distance function
halfnorm.start.limits   Start and limit values for halfnorm distance
                        function
hazrate.like            Hazard rate likelihood
hazrate.start.limits    Start and limit values for hazrate distance
                        function
hermite.expansion       Hermite expansion factors
insertOneStepBreaks     Insert oneStep Likelihood breaks
integrateHalfnormLines
                        Integrate Half-normal line surveys
integrateHalfnormPoints
                        Integrate Half-normal Point transects
integrateHazrateLines   Integrate Hazard-rate line survey distance
                        functions
integrateKey            Compute and print distance function integration
integrateNegexpLines    Integrate Negative exponential
integrateNegexpPoints   Integrate Negative exponential point surveys
integrateNumeric        Numeric Integration
integrateOneStepLines   Integrate Line-transect One-step function
integrateOneStepNumeric
                        Numeric Integration of One-step Function
integrateOneStepPoints
                        Integrate Point-survey One-step function
intercept.only          Detect intercept-only distance function
is.RdistDf              Check RdistDf data frames
is.Unitless             Test whether object is unitless
is.points               Tests for point surveys
is.smoothed             Tests for smoothed distance functions
likeParamNames          Likelihood parameter names
lines.dfunc             lines.dfunc - Line plotting method for distance
                        functions
maximize.g              Find coordinate of function maximum
mlEstimates             Distance function maximum likelihood estimates
model.matrix.dfunc      Rdistance model matrix
nCovars                 Number of covariates
nLL                     Negative log likelihood of distances
negexp.like             Negative exponential likelihood
negexp.start.limits     Start and limit values for negexp distance
                        function
observationType         Type of observations
oneBsIter               Computations for one bootstrap iteration
oneStep.like            Mixture of two uniforms likelihood
oneStep.start.limits    oneStep likelihood start and limit values
parseModel              Parse Rdistance model
perpDists               Compute off-transect distances from sighting
                        distances and angles
plot.dfunc              Plot method for distance (detection) functions
plot.dfunc.para         Plot parametric distance functions
predDensity             Density on transects
predDfuncs              Predict distance functions
predLikelihood          Distance function values at observations
predict.dfunc           Predict distance functions
print.abund             Print abundance estimates
print.dfunc             Print method for distance function object
secondDeriv             Numeric second derivatives
simple.expansion        Simple polynomial expansion factors
simpsonCoefs            Simpson numerical integration coefficients
sine.expansion          Sine expansion terms
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             Distance function starting values and limits
summary.abund           Summarize abundance estimates
summary.dfunc           Summarize a distance function object
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        Sage Thrasher site data.
transectType            Type of transects
unnest                  Unnest an RdistDf data frame
varcovarEstim           Estimate variance-covariance
