AIC.dfunc               AICc and related fit statistics for detection
                        function objects
EDR                     Effective Detection Radius (EDR) for estimated
                        detection functions with point transects
ESW                     Effective Strip Width for line transect data
F.double.obs.prob       Compute double observer probability of
                        detection (No external covariates allowed)
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 values
F.start.limits          Set starting values and limits for parameters
                        of Rdistance functions
Gamma.like              Gamma distance function for distance analyses
Rdistance-package       Rdistance - Distance Sampling Analyses for
                        Abundance Estimation 'Rdistance' contains
                        functions and associated routines to analyze
                        distance-sampling data collected on point or
                        line transects.  Some of 'Rdistance"s features
                        include: • Accommodation of both point and line
                        transect analyses in one routine
                        ('dfuncEstim').  • Regression-like formula for
                        inclusion of covariate in distance functions
                        ('dfuncEstim').  • Automatic bootstrap
                        confidence intervals ('abundEstim').  •
                        Availability of both study-area and site-level
                        abundance estimates ('abundEstim').  •
                        Classical, parametric distance functions
                        ('halfnorm.like', 'hazrate.like'), and
                        expansion functions ('cosine.expansion',
                        'hermite.expansion', 'simple.expansion').  •
                        Non-classic distance functions ('Gamma.like',
                        'negexp.like', 'uniform.like') and a
                        non-parametric smoother 'dfuncSmu').  • User
                        defined distance functions.  • Automated
                        distance function fits and selection
                        'autoDistSamp'.  • Extended vignettes.  •
                        'print', 'plot', 'predict', 'coef', and
                        'summary' methods for distance function objects
                        and abundance classes.
RdistanceControls       Control parameters for 'Rdistance'
                        optimization.
abundEstim              Estimate abundance from distance-sampling data
autoDistSamp            Automated classical distance analysis
coef.dfunc              Coefficients of an estimated detection function
cosine.expansion        calculation of cosine expansion for detection
                        function likelihoods
dfuncEstim              Estimate a detection function from
                        distance-sampling data
dfuncSmu                Estimate a non-parametric smooth detection
                        function from distance-sampling data
effectiveDistance       Calculates the effective sampling distance for
                        estimated detection functions
estimateN               Abundance point estimates
getDfuncModelFrame      Return model frame for dfunc
halfnorm.like           Half-normal likelihood function for distance
                        analyses
hazrate.like            Hazard rate likelihood function for distance
                        analyses
hermite.expansion       Calculation of Hermite expansion for detection
                        function likelihoods
integration.constant    Compute the integration constant for distance
                        density functions
likeParamNames          Likelihood parameter names
negexp.like             Negative exponential distance function for
                        distance analyses
perpDists               Compute off-transect distances from sighting
                        distances and angles
plot.dfunc              Plot a distance (detection) function
predict.dfunc           Predict method for dfunc objects
print.abund             Print abundance estimates
print.dfunc             Print a distance function object
secondDeriv             Numeric second derivatives
simple.expansion        Calculate simple polynomial expansion for
                        detection function likelihoods
smu.like                Smoothed likelihood function for distance
                        analyses
sparrowDetectionData    Brewer's Sparrow detection data (line-transect
                        survey) 'Rdistance' contains four example
                        datasets: two collected using a line-transect
                        survey (i.e., 'sparrowDetectionData' and
                        'sparrowSiteData') and two collected using a
                        point-transect (sometimes called a point count)
                        survey (i.e., 'thrasherDetectionData' and
                        'thrasherSiteData').  These datasets
                        demonstrate the type and format of input data
                        required by 'Rdistance' to estimate a detection
                        function and abundance from distance sampling
                        data collected by surveying line transects or
                        point transects.  They also allow the user to
                        step through the tutorials described in the
                        package vignettes.  Only the detection data is
                        needed to fit a detection function (if there
                        are no covariates in the detection function;
                        see 'dfuncEstim'), but both detection and the
                        additional site data are needed to estimate
                        abundance (or to include site-level covariates
                        in the detection function; see 'abundEstim').
                        Line transect (sparrow) data come from 72
                        transects, each 500 meters long, surveyed for
                        Brewer's Sparrows by the Wyoming Cooperative
                        Fish & Wildlife Research Unit in 2012. Point
                        transect (thrasher) data come from 120 points
                        surveyed for Sage Thrashers by the Wyoming
                        Cooperative Fish & Wildlife Research Unit in
                        2013. See the package vignettes for 'Rdistance'
                        tutorials using these datasets.
sparrowSiteData         Brewer's Sparrow site data (line-transect
                        survey) 'Rdistance' contains four example
                        datasets: two collected using a line-transect
                        survey (i.e., 'sparrowDetectionData' and
                        'sparrowSiteData') and two collected using a
                        point-transect (sometimes called a point count)
                        survey (i.e., 'thrasherDetectionData' and
                        'thrasherSiteData').  These datasets
                        demonstrate the type and format of input data
                        required by 'Rdistance' to estimate a detection
                        function and abundance from distance sampling
                        data collected by surveying line transects or
                        point transects.  They also allow the user to
                        step through the tutorials described in the
                        package vignettes.  Only the detection data is
                        needed to fit a detection function (if there
                        are no covariates in the detection function;
                        see 'dfuncEstim'), but both detection and the
                        additional site data are needed to estimate
                        abundance (or to include site-level covariates
                        in the detection function; see 'abundEstim').
                        Line transect (sparrow) data come from 72
                        transects, each 500 meters long, surveyed for
                        Brewer's Sparrows by the Wyoming Cooperative
                        Fish & Wildlife Research Unit in 2012. Point
                        transect (thrasher) data come from 120 points
                        surveyed for Sage Thrashers by the Wyoming
                        Cooperative Fish & Wildlife Research Unit in
                        2013. See the package vignettes for 'Rdistance'
                        tutorials using these datasets.
thrasherDetectionData   Sage Thrasher detection data (point-transect
                        survey) 'Rdistance' contains four example
                        datasets: two collected using a line-transect
                        survey (i.e., 'sparrowDetectionData' and
                        'sparrowSiteData') and two collected using a
                        point-transect (sometimes called a point count)
                        survey (i.e., 'thrasherDetectionData' and
                        'thrasherSiteData').  These datasets
                        demonstrate the type and format of input data
                        required by 'Rdistance' to estimate a detection
                        function and abundance from distance sampling
                        data collected by surveying line transects or
                        point transects.  They also allow the user to
                        step through the tutorials described in the
                        package vignettes.  Only the detection data is
                        needed to fit a detection function (if there
                        are no covariates in the detection function;
                        see 'dfuncEstim'), but both detection and the
                        additional site data are needed to estimate
                        abundance (or to include site-level covariates
                        in the detection function; see 'abundEstim').
                        Line transect (sparrow) data come from 72
                        transects, each 500 meters long, surveyed for
                        Brewer's Sparrows by the Wyoming Cooperative
                        Fish & Wildlife Research Unit in 2012. Point
                        transect (thrasher) data come from 120 points
                        surveyed for Sage Thrashers by the Wyoming
                        Cooperative Fish & Wildlife Research Unit in
                        2013. See the package vignettes for 'Rdistance'
                        tutorials using these datasets.
thrasherSiteData        Sage Thrasher site data (point-transect survey)
                        'Rdistance' contains four example datasets: two
                        collected using a line-transect survey (i.e.,
                        'sparrowDetectionData' and 'sparrowSiteData')
                        and two collected using a point-transect
                        (sometimes called a point count) survey (i.e.,
                        'thrasherDetectionData' and
                        'thrasherSiteData').  These datasets
                        demonstrate the type and format of input data
                        required by 'Rdistance' to estimate a detection
                        function and abundance from distance sampling
                        data collected by surveying line transects or
                        point transects.  They also allow the user to
                        step through the tutorials described in the
                        package vignettes.  Only the detection data is
                        needed to fit a detection function (if there
                        are no covariates in the detection function;
                        see 'dfuncEstim'), but both detection and the
                        additional site data are needed to estimate
                        abundance (or to include site-level covariates
                        in the detection function; see 'abundEstim').
                        Line transect (sparrow) data come from 72
                        transects, each 500 meters long, surveyed for
                        Brewer's Sparrows by the Wyoming Cooperative
                        Fish & Wildlife Research Unit in 2012. Point
                        transect (thrasher) data come from 120 points
                        surveyed for Sage Thrashers by the Wyoming
                        Cooperative Fish & Wildlife Research Unit in
                        2013. See the package vignettes for 'Rdistance'
                        tutorials using these datasets.
uniform.like            Uniform likelihood function for distance
                        analyses
