==.psData               S3 method for objects of class 'psData'
DIC                     Compute the deviance information criterion for
                        a Bayesian fitPS model
Psurveys                Number of Groups of Glass Data
Ssurveys                Size of Groups of Glass Data
add                     Add data to a psData object
as.data.frame.psData    Converts an object of class 'psData' to a
                        'data.frame'
bootCI                  Legacy bootstrap confidence intervals or
                        regions
bootstrapFit            Compute a bootstrap distribution for a fitted
                        fitPS model
bootstrapProbs          Extract bootstrap probability summaries
compareSurveys          Compare two surveys on the basis of their shape
                        parameters
compareSurveysLRT       Compare two or more surveys on the basis of
                        their shape parameters using a Likelihood Ratio
                        Test
confint.psFit           S3 confint method for objects of class psFit
credint                 Bayesian credible intervals or regions
deviance.psFit          Extract deviance from a fitted fitPS model
fit                     Fit a fitPS model
fitDist                 Fit a Zeta Distribution to Forensic Data
fitZIDist               Fit a Zero-Inflated Zeta Distribution to
                        Forensic Data
fitlogDist              Fit a logarithmic distribution to forensic data
fitted.psFit            S3 fitted method for an object of class 'psFit'
fitted.psPosterior      Extract posterior mean probabilities
logLik.psFit            Extract the maximised log-likelihood from a
                        fitPS model fit
logarithmicModel        Construct built-in fitPS model descriptors
makePSData              Create a survey data set manually
makePrior               Define a prior density
mean.psData             An S3 method for computing the mean of clothing
                        survey for the number of groups or size of
                        groups
modelBayesControl       Return Bayesian fitting controls supplied by a
                        model
modelFromUnconstrained
                        Transform unconstrained coordinates to natural
                        model parameters
modelLogJacobian        Evaluate the log-Jacobian for the unconstrained
                        parameter transformation
modelLogLikelihood      Evaluate a model log likelihood through the
                        shared model protocol.
modelLogPrior           Evaluate a model prior on the natural parameter
                        scale
modelMleControl         Return generic maximum-likelihood controls for
                        a model
modelObservationData    Convert fitPS data to the observation support
                        required by a model.
modelParameterNames     Return the natural parameter names declared by
                        a fitPS model.
modelProbabilities      Evaluate fitted P/S probabilities through a
                        model descriptor.
modelToUnconstrained    Transform natural model parameters to
                        unconstrained coordinates
plot.psBootstrap        Plot bootstrap probability summaries
plot.psFit              S3 plot method for an object of class 'psFit'
plot.psPosterior        Plot posterior probability summaries
plotPosterior           Plot a posterior density for a fitted
                        power-series model
plotUncertainty         Plot parameter uncertainty for a fitPS
                        inferential result
posteriorInflation      Posterior probability of practically negligible
                        inflation
posteriorProbs          Extract posterior probability summaries
predict.psFit           S3 predict method for an object of class
                        'psFit'
print.psBayesianBootstrap
                        Print a fitPS Bayesian Bootstrap object
print.psBootstrap       Print a fitPS bootstrap object
print.psData            S3 print method for an object of class 'psData'
print.psFit             S3 print method for an object of class 'psFit'
print.psPosterior       Print a fitPS posterior object
probfun                 Plug-in probability functions
psModel                 Construct a public fitPS model descriptor
rZIzeta                 Generate zero inflated zeta random variates
readData                Read count data from file
rzeta                   Generate random variates from a zeta
                        distribution
summary.psBayesianBootstrap
                        Summarise a fitPS Bayesian Bootstrap object
summary.psBootstrap     Summarise a fitPS bootstrap object
summary.psFit           S3 summary method for an object of class
                        'psFit'
summary.psPosterior     Summarise a fitPS posterior object
supportedPosteriorEngines
                        Return posterior engines supported by a fitPS
                        model.
var                     Variance generic
var.psData              An S3 method for computing the variance of
                        clothing survey for the number of groups or
                        size of groups
