Rdistance-package |
Rdistance - Distance Sampling Analyses for Line Transect Data |
AIC.dfunc |
AICc and related fit statistics for detection function objects |
coef.dfunc |
Coefficients of an estimated detection function |
cosine.expansion |
Calcululation of cosine expansion for detection function likelihoods. |
distance |
Rdistance - Distance Sampling Analyses for Line Transect Data |
ESW |
Effective Strip Width for estimated detection functions |
F.abund.estim |
Estimate abundance from distance-sampling data. |
F.automated.CDA |
Automated classical distance analysis. |
F.dfunc.estim |
Estimate a detection function from distance-sampling data. |
F.double.obs.prob |
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 |
F.maximize.g - Finds the coordinate of the maximum of a distance function. |
F.nLL |
F.nLL - Return the negative log likelihood for a set of distance values. |
F.start.limits |
F.start.limits - Set starting values and limits for parameters of Rdistance functions. |
Gamma.like |
Gamma likelihood for distance analyses |
halfnorm.like |
Standard likelihood functions for distance analyses. |
hazrate.like |
Standard likelihood functions for distance analyses. |
hermite.expansion |
Calcululation of Hermite expansion for detection function likelihoods. |
integration.constant |
Compute the integration constance for distance density functions. |
negexp.like |
Standard likelihood functions for distance analyses. |
perp.dists |
Compute off-transect distances from sighting distances and angles |
plot.dfunc |
Plot a distance function. |
print.abund |
Print abundance estimates. |
print.dfunc |
Print a distance function object. |
Rdistance |
Rdistance - Distance Sampling Analyses for Line Transect Data |
simple.expansion |
Calculate simply polynomial expansion for detection function likelihoods. |
sparrow.detections |
Example data: sparrow detections |
sparrow.transects |
Example data: sparrow transects |
uniform.like |
Standard likelihood functions for distance analyses. |