Distance-Sampling Analyses for Density and Abundance Estimation

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Documentation for package ‘Rdistance’ version 3.0.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

Rdistance-package	Rdistance - Distance Sampling Analyses for Abundance Estimation
abundEstim	Estimate abundance from distance-sampling data
AIC.dfunc	AICc and related fit statistics for detection function objects
autoDistSamp	Automated classical distance analysis
coef.dfunc	Coefficients of an estimated detection function
colorize	colorize - Add color to result if terminal accepts it
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
distance	Rdistance - Distance Sampling Analyses for Abundance Estimation
EDR	Effective Detection Radius (EDR) for estimated detection functions with point transects
effectiveDistance	Calculates the effective sampling distance for estimated detection functions
estimateN	Abundance point estimates
ESW	Line transect Effective Strip Width (ESW)
F.double.obs.prob	Compute double observer probability of detection (No external covariates allowed)
F.gx.estim	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.like - Gamma distance function
Gamma.start.limits	Gamma.start.limits - Start and limit values for Gamma parameters.
getDfuncModelFrame	Return model frame for dfunc
halfnorm.like	Half-normal likelihood function for distance analyses
hazrate.like	hazrate.like - Hazard rate likelihood
hermite.expansion	Calculation of Hermite expansion for detection function likelihoods
integration.constant	Compute the integration constant for distance density functions
isUnitless	isUnitless - Test whether object is unitless
likeParamNames	Likelihood parameter names
line-transect	Rdistance - Distance Sampling Analyses for Abundance Estimation
lines.dfunc	lines.dfunc - Lines method for distance (detection) functions
logistic.like	logistic.like - Logistic distance function likelihood
logistic.start.limits	logistic.start.limits - Start and limit values for logistic distance function
negexp.like	negexp.like - Negative exponential distance function
perpDists	Compute off-transect distances from sighting distances and angles
plot.dfunc	plot.dfunc - Plot method for distance (detection) functions
point-transect	Rdistance - Distance Sampling Analyses for Abundance Estimation
predict.dfunc	Predict method for dfunc objects
print.abund	Print abundance estimates
print.dfunc	Print a distance function object
Rdistance	Rdistance - Distance Sampling Analyses for Abundance Estimation
RdistanceControls	Control parameters for 'Rdistance' optimization.
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
sparrowSiteData	Brewer's Sparrow site data
thrasherDetectionData	Sage Thrasher detection data
thrasherSiteData	thrasherSiteData - Sage Thrasher site data.
uniform.like	uniform.like - Uniform distance likelihood
uniform.start.limits	uniform.start.limits - Start and limit values for uniform distance function