Bayesian Estimation and Forecasting of Age-Specific Rates
![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
Documentation for package ‘bage’ version 0.9.6
Help Pages
| AR | Autoregressive Prior |
| AR1 | Autoregressive Prior of Order 1 |
| augment.bage_mod | Extract Data and Modelled Values |
| components.bage_mod | Extract Values for Hyper-Parameters |
| components.bage_ssvd | Extract Components used by SVD Summary |
| computations | Information on Computations Performed During Model Fitting |
| confidential | Confidentialization |
| datamods | Data Models |
| fit.bage_mod | Fit a Model |
| forecast.bage_mod | Use a Model to Make a Forecast |
| generate.bage_prior_ar | Generate Values from Priors |
| generate.bage_prior_known | Generate Values from Priors |
| generate.bage_prior_lin | Generate Values from Priors |
| generate.bage_prior_linar | Generate Values from Priors |
| generate.bage_prior_linex | Generate Values from Priors |
| generate.bage_prior_norm | Generate Values from Priors |
| generate.bage_prior_normfixed | Generate Values from Priors |
| generate.bage_prior_rw2random | Generate Values from Priors |
| generate.bage_prior_rw2randomseasfix | Generate Values from Priors |
| generate.bage_prior_rw2randomseasvary | Generate Values from Priors |
| generate.bage_prior_rw2zero | Generate Values from Priors |
| generate.bage_prior_rw2zeroseasfix | Generate Values from Priors |
| generate.bage_prior_rw2zeroseasvary | Generate Values from Priors |
| generate.bage_prior_rwrandom | Generate Values from Priors |
| generate.bage_prior_rwrandomseasfix | Generate Values from Priors |
| generate.bage_prior_rwrandomseasvary | Generate Values from Priors |
| generate.bage_prior_rwzero | Generate Values from Priors |
| generate.bage_prior_rwzeroseasfix | Generate Values from Priors |
| generate.bage_prior_rwzeroseasvary | Generate Values from Priors |
| generate.bage_prior_spline | Generate Values from Priors |
| generate.bage_prior_svd | Generate Values from Priors |
| generate.bage_prior_svd_ar | Generate Values from Priors |
| generate.bage_prior_svd_rw2random | Generate Values from Priors |
| generate.bage_prior_svd_rw2zero | Generate Values from Priors |
| generate.bage_prior_svd_rwrandom | Generate Values from Priors |
| generate.bage_prior_svd_rwzero | Generate Values from Priors |
| generate.bage_ssvd | Generate Random Age or Age-Sex Profiles |
| HFD | Components from Human Fertility Database |
| HMD | Components from Human Mortality Database |
| isl_deaths | Deaths in Iceland |
| is_fitted | Test Whether a Model has Been Fitted |
| Known | Known Prior |
| kor_births | Births in South Korea |
| LFP | Components from OECD Labor Force Participation Data |
| Lin | Linear Prior with Independent Normal Errors |
| Lin_AR | Linear Prior with Autoregressive Errors |
| Lin_AR1 | Linear Prior with Autoregressive Errors of Order 1 |
| mod_binom | Specify a Binomial Model |
| mod_norm | Specify a Normal Model |
| mod_pois | Specify a Poisson Model |
| N | Normal Prior |
| NFix | Normal Prior with Fixed Variance |
| 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 |
| n_draw.bage_mod | Get the Number of Draws for a Model Object |
| print.bage_mod | Printing a Model |
| priors | Priors for Intercept, Main Effects, Interactions |
| prt_deaths | Deaths in Portugal |
| replicate_data | Create Replicate Data |
| report_sim | Simulation Study of a Model |
| RW | Random Walk Prior |
| RW2 | Second-Order Random Walk Prior |
| RW2_Infant | Second-Order Random Walk Prior with 'Infant' Indicator |
| RW2_Seas | Second-Order Random Walk Prior with Seasonal Effect |
| RW_Seas | Random Walk Prior with Seasonal Effect |
| set_confidential_rr3 | Specify RR3 Confidentialization |
| set_covariates | Specify Covariates |
| set_datamod_exposure | Specify Exposure Data Model |
| set_datamod_miscount | Specify Miscount Data Model |
| set_datamod_noise | Specify Noise Data Model |
| set_datamod_outcome_rr3 | Specify RR3 Data Model |
| set_datamod_overcount | Specify Overcount Data Model |
| set_datamod_undercount | Specify Undercount Data Model |
| set_disp | Specify Prior for Dispersion or Standard Deviation |
| set_n_draw | Specify Number of Draws from Prior or Posterior Distribution |
| set_prior | Specify Prior for Model Term |
| set_seeds | Reset Random Seeds in Model Object |
| set_var_age | Specify Age Variable |
| set_var_sexgender | Specify Sex or Gender Variable |
| set_var_time | Specify Time Variable |
| Sp | P-Spline Prior |
| SVD | SVD-Based Prior for Age or Age-Sex Profiles |
| SVD_AR | Dynamic SVD-Based Priors for Age Profiles or Age-Sex Profiles |
| SVD_AR1 | Dynamic SVD-Based Priors for Age Profiles or Age-Sex Profiles |
| SVD_RW | Dynamic SVD-Based Priors for Age Profiles or Age-Sex Profiles |
| SVD_RW2 | Dynamic SVD-Based Priors for Age Profiles or Age-Sex Profiles |
| swe_infant | Infant Mortality in Sweden |
| tidy.bage_mod | Summarize Terms from a Fitted Model |
| unfit | Unfit a Model |
| usa_deaths | Accidental Deaths in the USA |