bage0.9.6 package

Autoregressive Prior

Autoregressive Prior of Order 1

Extract Data and Modelled Values

Package 'bage'

Extract Values for Hyper-Parameters

Extract Components used by SVD Summary

Information on Computations Performed During Model Fitting

Confidentialization

Data Models

Fit a Model

Use a Model to Make a Forecast

Generate Values from Priors

Generate Random Age or Age-Sex Profiles

Test Whether a Model has Been Fitted

Known Prior

Linear Prior with Autoregressive Errors

Linear Prior with Autoregressive Errors of Order 1

Linear Prior with Independent Normal Errors

Specify a Binomial Model

Specify a Normal Model

Specify a Poisson Model

Get the Number of Draws for a Model Object

Normal Prior

Normal Prior with Fixed Variance

Printing a Model

Priors for Intercept, Main Effects, Interactions

Objects exported from other packages

Create Replicate Data

Simulation Study of a Model

Random Walk Prior with Seasonal Effect

Random Walk Prior

Second-Order Random Walk Prior with 'Infant' Indicator

Second-Order Random Walk Prior with Seasonal Effect

Second-Order Random Walk Prior

Specify RR3 Confidentialization

Specify Covariates

Specify Exposure Data Model

Specify Miscount Data Model

Specify Noise Data Model

Specify RR3 Data Model

Specify Overcount Data Model

Specify Undercount Data Model

Specify Prior for Dispersion or Standard Deviation

Specify Number of Draws from Prior or Posterior Distribution

Specify Prior for Model Term

Reset Random Seeds in Model Object

Specify Age Variable

Specify Sex or Gender Variable

Specify Time Variable

P-Spline Prior

Dynamic SVD-Based Priors for Age Profiles or Age-Sex Profiles

SVD-Based Prior for Age or Age-Sex Profiles

Summarize Terms from a Fitted Model

Unfit a Model