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. |
continueEstimation | Add extra iterations to burnin or output. |
continueSimulation | Add extra iterations to simulation |
Covariates | Specify covariates in a prior for a main effect or... |
Covariates-class | S4 class to specify the covariates term of a prior. |
Damp | Specify the amount of damping in a DLM prior. |
Damp-class | S4 classes to specify damping terms in DLM priors. |
decomposition | Decompose a demographic array |
demest-package | Bayesian demographic estimation and forecasting. |
describePriors | Text decription of priors |
Dispersion | Specify the prior for the dispersion parameter in a CMP... |
Dispersion-class | S4 class to specify prior for dispersion parameter in CMP... |
DLM | Specify a Dynamic Linear Model (DLM) prior. |
DLMS | Short version of 'DLM' function for creating Dynamic Linear... |
equivalentSample | Convert estimates from a complex survey into a form suitable... |
Error | Specify the error term in a prior for a main effect or... |
Error-class | S4 classes to specify error terms for priors. |
estimateAccount | Estimate demographic account and models from multiple noisy... |
estimateCounts | Estimate counts and model from one or more noisy datasets. |
estimateModel | Estimate model from single reliable dataset. |
Exact | Specify that a dataset is to be treated as error-free. |
Exch | Specify an exchangeable prior. |
ExchFixed | Specify a simple exchangeable prior. |
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. |
FiniteSD-class | S4 class to hold finite-population standard deviations. |
finiteY | Estimate or predict finite-population quantity 'y'. |
gelmanDiag | Obtain potential scale reduction factors (Rhats). |
HalfT | Specify a half-t distribution. |
HalfT-class | An S4 class to specify a truncated half-_t_ distribution. |
halft-distn | The half-t distribution. |
Initial | Specify the prior for the initial value of the trend term in... |
Initial-class | An S4 class to specify a normal prior for a scalar parameter. |
InvChiSq | Specify an inverse chi-squared distribution. |
InvChiSq-class | An S4 class to specify a truncated scaled inverse-chi-squared... |
Known | Specify a prior where the mean varies but is treated as... |
Level | Specify the level term in a DLM prior. |
Level-class | An S4 class to specify the level term in a DLM prior. |
likelihood | Specify first two levels of hierarchical model. |
listContents | List of output from estimate function. |
LN2 | Log-normal model with two levels |
metropolis | Extract information on Metropolis-Hastings updates. |
Mix | Specify a Mix prior. |
Model | Specify a model for a single demographic series or dataset. |
Norm | Specify a normal distribution. |
NormalFixed | Specify a model based on a normal distribution with known... |
Norm-class | An S4 class to specify a normal distribution. |
parameters | Extract summaries of parameter estimates from a... |
plotHalfT | Plot the half-t distribution. |
PoissonBinomial | Specify a model based on a Poisson-binomial mixture. |
predictAccount | Use results from function estimateAccount to make... |
predictCounts | Use results from function estimateCounts to make predictions. |
predictModel | Use results from function estimateModel to make predictions. |
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. |
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 |
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... |
TFixed | Specify a model based on a Student's t distribution with... |
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... |
Zero | Specify a prior that sets all terms to zero. |
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