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