Package: bage 0.10.9

John Bryant

bage: Bayesian Estimation and Forecasting of Age-Specific Rates

Fast Bayesian estimation and forecasting of age-specific rates, probabilities, and means, based on 'Template Model Builder'.

Authors:John Bryant [aut, cre], Junni Zhang [aut], Bayesian Demography Limited [cph]

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manual.pdf |manual.html✨
card.svg |card.png
bage/json (API)
NEWS

# Install 'bage' in R:
install.packages('bage', repos = c('https://bayesiandemography.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bayesiandemography/bage/issues

Pkgdown/docs site:https://bayesiandemography.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • CSA - Scaled SVD Components from Census School Attendance Data
  • data_wmd - Data to Create Scaled SVD Object Based on World Marriage Database
  • HFD - Scaled SVD Components from Human Fertility Database
  • HIMD_P1 - Scaled SVD Components from Human Internal Migration Database
  • HIMD_P5 - Scaled SVD Components from Human Internal Migration Database
  • HIMD_R - Scaled SVD Components from Human Internal Migration Database
  • HMD - Scaled SVD Components from Human Mortality Database
  • isl_deaths - Deaths in Iceland
  • kor_births - Births in South Korea
  • LFP - Scaled SVD Components from OECD Labor Force Participation Data
  • nld_expenditure - Per Capita Health Expenditure in the Netherlands, 2003-2011
  • nzl_divorces - Divorces in New Zealand
  • nzl_households - People in One-Person Households in New Zealand
  • nzl_injuries - Fatal Injuries in New Zealand
  • prt_deaths - Deaths in Portugal
  • swe_infant - Infant Mortality in Sweden
  • usa_deaths - Accidental Deaths in the USA
  • WMD_C - Scaled SVD Components from World Marriage Database
  • WMD_E - Scaled SVD Components from World Marriage Database

On CRAN:

Conda:

cpp

6.42 score 3 stars 61 scripts 364 downloads 57 exports 23 dependencies

Last updated from:2cb3bc312d. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK364
linux-devel-x86_64OK366
source / vignettesOK466
linux-release-arm64OK344
linux-release-x86_64OK365
macos-release-arm64OK324
macos-release-x86_64OK473
macos-oldrel-arm64OK293
macos-oldrel-x86_64OK832
windows-develOK449
windows-releaseOK449
windows-oldrelOK365
wasm-releaseOK157

Exports:ARAR1augmentcomponentscomputationsdispersionDRWDRW2fitforecastgenerateis_fittedKnownLinLin_ARLin_AR1mod_binommod_normmod_poisNNFixreplicate_datareport_simRWRW_SeasRW2RW2_ARRW2_AR1RW2_InfantRW2_Seasset_confidential_rr3set_covariatesset_datamod_exposureset_datamod_miscountset_datamod_noiseset_datamod_outcome_rr3set_datamod_overcountset_datamod_undercountset_dispset_n_drawset_priorset_seedsset_var_ageset_var_sexgenderset_var_timeSpssvdSVDSVD_ARSVD_AR1SVD_DRWSVD_DRW2SVD_LinSVD_RWSVD_RW2tidyunfit

Dependencies:clicpp11genericsgluelatticelifecyclemagrittrMatrixmatrixStatspillarpkgconfigpoputilsRcppRcppEigenrlangrvecsparseMVNtibbletidyselectTMButf8vctrswithr

Overview

Rendered fromvig01_intro.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2026-01-09
Started: 2025-10-01

Readme and manuals

Help Manual

Help pageTopics
bage: Bayesian Estimation and Forecasting of Age-Specific Ratesbage-package bage
Autoregressive PriorAR
Autoregressive Prior of Order 1AR1
Extract Data and Modeled Valuesaugment.bage_mod
Extract Values for Hyper-Parameterscomponents.bage_mod
Extract Components used by SVD Summarycomponents.bage_ssvd
Information on Computations Performed During Model Fittingcomputations
Confidentializationconfidential
Scaled SVD Components from Census School Attendance DataCSA
Data to Create Scaled SVD Object Based on World Marriage Databasedata_wmd
Data Modelsdatamods
Datasetsdatasets
Extract Values for Dispersiondispersion
Damped Random Walk PriorDRW
Damped Second-Order Random Walk PriorDRW2
Fit a Modelfit.bage_mod
Use a Model to Make a Forecastforecast.bage_mod
Generate Values from Priorsgenerate.bage_prior_ar generate.bage_prior_drw2random generate.bage_prior_drw2zero generate.bage_prior_drwrandom generate.bage_prior_drwzero generate.bage_prior_known generate.bage_prior_lin generate.bage_prior_linar generate.bage_prior_linex generate.bage_prior_norm generate.bage_prior_normfixed generate.bage_prior_rw2random generate.bage_prior_rw2randomar generate.bage_prior_rw2randomseasfix generate.bage_prior_rw2randomseasvary generate.bage_prior_rw2zero generate.bage_prior_rw2zeroar generate.bage_prior_rw2zeroseasfix generate.bage_prior_rw2zeroseasvary generate.bage_prior_rwrandom generate.bage_prior_rwrandomseasfix generate.bage_prior_rwrandomseasvary generate.bage_prior_rwzero generate.bage_prior_rwzeroseasfix generate.bage_prior_rwzeroseasvary generate.bage_prior_spline generate.bage_prior_svd generate.bage_prior_svd_ar generate.bage_prior_svd_drw2random generate.bage_prior_svd_drw2zero generate.bage_prior_svd_drwrandom generate.bage_prior_svd_drwzero generate.bage_prior_svd_lin generate.bage_prior_svd_linex generate.bage_prior_svd_rw2random generate.bage_prior_svd_rw2zero generate.bage_prior_svd_rwrandom generate.bage_prior_svd_rwzero
Generate Random Age or Age-Sex Profilesgenerate.bage_ssvd
Scaled SVD Components from Human Fertility DatabaseHFD
Scaled SVD Components from Human Internal Migration DatabaseHIMD_P1 HIMD_P5 HIMD_R
Scaled SVD Components from Human Mortality DatabaseHMD
Test Whether a Model has Been Fittedis_fitted
Deaths in Icelandisl_deaths
Known PriorKnown
Births in South Koreakor_births
Scaled SVD Components from OECD Labor Force Participation DataLFP
Linear Prior with Independent Normal ErrorsLin
Linear Prior with Autoregressive ErrorsLin_AR
Linear Prior with Autoregressive Errors of Order 1Lin_AR1
Specify a Binomial Modelmod_binom
Specify a Normal Modelmod_norm
Specify a Poisson Modelmod_pois
Normal PriorN
Get the Number of Draws for a Model Objectn_draw.bage_mod
Normal Prior with Fixed VarianceNFix
Per Capita Health Expenditure in the Netherlands, 2003-2011nld_expenditure
Divorces in New Zealandnzl_divorces
People in One-Person Households in New Zealandnzl_households
Fatal Injuries in New Zealandnzl_injuries
Printing a Modelprint.bage_mod
Priors for Intercept, Main Effects, Interactionspriors
Deaths in Portugalprt_deaths
Create Replicate Datareplicate_data
Simulation Study of a Modelreport_sim
Random Walk PriorRW
Random Walk Prior with Seasonal EffectRW_Seas
Second-Order Random Walk PriorRW2
Second-Order Random Walk Prior with Autoregressive ErrorsRW2_AR
Second-Order Random Walk Prior with First Order Autoregressive ErrorsRW2_AR1
Second-Order Random Walk Prior with 'Infant' IndicatorRW2_Infant
Second-Order Random Walk Prior with Seasonal EffectRW2_Seas
Specify RR3 Confidentializationset_confidential_rr3
Specify Covariatesset_covariates
Specify Exposure Data Modelset_datamod_exposure
Specify Miscount Data Modelset_datamod_miscount
Specify Noise Data Modelset_datamod_noise
Specify RR3 Data Modelset_datamod_outcome_rr3
Specify Overcount Data Modelset_datamod_overcount
Specify Undercount Data Modelset_datamod_undercount
Specify Prior for Dispersion or Standard Deviationset_disp
Specify Number of Draws from Prior or Posterior Distributionset_n_draw
Specify Prior for Model Termset_prior
Reset Random Seeds in Model Objectset_seeds
Specify Age Variableset_var_age
Specify Sex or Gender Variableset_var_sexgender
Specify Time Variableset_var_time
P-Spline PriorSp
Create Object to Hold Data from a Scaled SVDssvd
SVD-Based Prior for Age or Age-Sex ProfilesSVD
Dynamic SVD-Based Priors for Age Profiles or Age-Sex ProfilesSVD_AR SVD_AR1 SVD_DRW SVD_DRW2 SVD_Lin SVD_RW SVD_RW2
Scaled SVDssvds
Infant Mortality in Swedenswe_infant
Summarize Terms from a Fitted Modeltidy.bage_mod
Unfit a Modelunfit
Accidental Deaths in the USAusa_deaths
Scaled SVD Components from World Marriage DatabaseWMD_C WMD_E