Aggregate               Specify aggregate values.
Components              Specify priors for the components in a Mix
                        prior.
Components-class        An S4 class to specify the components of a Mix
                        prior.
Covariates              Specify covariates in a prior for a main effect
                        or interaction.
Covariates-class        S4 class to specify the covariates term of a
                        prior.
DLM                     Specify a Dynamic Linear Model (DLM) prior.
DLMS                    Short version of 'DLM' function for creating
                        Dynamic Linear Model priors
Damp                    Specify the amount of damping in a DLM prior.
Damp-class              S4 classes to specify damping terms in DLM
                        priors.
Dispersion              Specify the prior for the dispersion parameter
                        in a CMP model.
Dispersion-class        S4 class to specify prior for dispersion
                        parameter in CMP model.
Error                   Specify the error term in a prior for a main
                        effect or interaction.
Error-class             S4 classes to specify error terms for priors.
Exch                    Specify an exchangeable prior.
ExchFixed               Specify a simple exchangeable prior.
FiniteSD-class          S4 class to hold finite-population standard
                        deviations.
HalfT                   Specify a half-t distribution.
HalfT-class             An S4 class to specify a truncated half-_t_
                        distribution.
Initial                 Specify the prior for the initial value of the
                        trend term in a DLM prior.
Initial-class           An S4 class to specify a normal prior for a
                        scalar parameter.
Known                   Specify a prior where the mean varies but is
                        treated as known.
LN2                     Log-normal model with two levels
Level                   Specify the level term in a DLM prior.
Level-class             An S4 class to specify the level term in a DLM
                        prior.
Mix                     Specify a Mix prior.
Model                   Specify a model for a single demographic series
                        or dataset.
Norm                    Specify a normal distribution.
Norm-class              An S4 class to specify a normal distribution.
NormalFixed             Specify a model based on a normal distribution
                        with known means and standard deviations.
PoissonBinomial         Specify a model based on a Poisson-binomial
                        mixture.
Round3                  Specify a data model for random rounding to
                        base 3.
Season                  Specify a seasonal effect in a DLM prior.
Season-class            An S4 class to specify a seasonal effect in a
                        DLM prior.
SpecAggregate-class     S4 classes to represent aggregate values.
SpecDLM-class           An S4 class to specify a dynamic linear model
                        (DLM) prior.
SpecExch-class          A S4 class to specify an exchangeable prior.
SpecExchFixed-class     A S4 class to specify a simple exchangeable
                        prior.
SpecKnown-class         A S4 class to specify a Known prior.
SpecLikelihood-class    S4 classes to specify one or two levels of a
                        model.
SpecMix-class           An S4 class to specify a Mix prior.
SpecModel-class         S4 classes to specify a model.
SpecPrior-class         A S4 superclass for prior specifications.
SpecZero-class          An S4 class to specify a Zero prior.
SummaryResults-class    S4 class summarizing results from estimation or
                        prediction.
TDist                   Specify a vector of independent t-distributed
                        variables
TDist-class             An S4 class to hold a vector of independent
                        t-distributed variables
TFixed                  Specify a model based on a Student's t
                        distribution with known location, scale, and
                        degrees of freedom.
Trend                   Specify the trend term in a DLM prior.
Trend-class             An S4 class to specify the trend term in a DLM
                        prior.
Weights                 Specify priors for the weights in a Mix prior.
Weights-class           An object of class 'Weights' is used to specify
                        the trend term in a 'Mix' prior.
Zero                    Specify a prior that sets all terms to zero.
continueEstimation      Add extra iterations to burnin or output.
continueSimulation      Add extra iterations to simulation
decomposition           Decompose a demographic array
demest-package          Bayesian demographic estimation and
                        forecasting.
describePriors          Text decription of priors
equivalentSample        Convert estimates from a complex survey into a
                        form suitable for analysis with an area-level
                        model
estimateAccount         Estimate demographic account and models from
                        multiple noisy datasets.
estimateCounts          Estimate counts and model from one or more
                        noisy datasets.
estimateModel           Estimate model from single reliable dataset.
fetch                   Extract estimates from model output.
fetchBoth               Extract combined results from estimation and
                        prediction.
fetchCoverage           Obtain the coverage ratio for a dataset.
fetchFiniteSD           Finite-population standard deviations.
fetchMCMC               Create a list of objects for analysis with
                        package "coda".
fetchSummary            Summarise estimation output.
finiteY                 Estimate or predict finite-population quantity
                        'y'.
gelmanDiag              Obtain potential scale reduction factors
                        (Rhats).
halft-distn             The half-t distribution.
likelihood              Specify first two levels of hierarchical model.
listContents            List of output from estimate function.
metropolis              Extract information on Metropolis-Hastings
                        updates.
parameters              Extract summaries of parameter estimates from a
                        SummaryResults object.
plotHalfT               Plot the half-t distribution.
predictAccount          Use results from function estimateAccount to
                        make predictions.
predictCounts           Use results from function estimateCounts to
                        make predictions.
predictModel            Use results from function estimateModel to make
                        predictions.
show-methods            Print description of model or prior.
showModel               Show final model specification.
simulateAccount         Create a synthetic demographic account
simulateModel           Draw parameters and data from a statistical
                        model
