Package index • bage

All functions

AR(): Autoregressive Prior

AR1(): Autoregressive Prior of Order 1

HFD: Components from Human Fertility Database

HMD: Components from Human Mortality Database

Known(): Known Prior

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

N(): Normal Prior

NFix(): Normal Prior with Fixed Variance

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

SVD(): SVD-Based Prior for Age or Age-Sex Profiles

SVD_AR() SVD_AR1() SVD_RW() SVD_RW2(): Dynamic SVD-Based Priors for Age Profiles or Age-Sex Profiles

Sp(): P-Spline Prior

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(<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_rwrandom>) generate(<bage_prior_rwrandomseasfix>) generate(<bage_prior_rwrandomseasvary>) generate(<bage_prior_rwzero>) generate(<bage_prior_rwzeroseasfix>) generate(<bage_prior_rwzeroseasvary>) generate(<bage_prior_rw2random>) generate(<bage_prior_rw2randomseasfix>) generate(<bage_prior_rw2randomseasvary>) generate(<bage_prior_rw2zero>) generate(<bage_prior_rw2zeroseasfix>) generate(<bage_prior_rw2zeroseasvary>) generate(<bage_prior_spline>) generate(<bage_prior_svd>) generate(<bage_prior_svd_ar>) generate(<bage_prior_svd_rwrandom>) generate(<bage_prior_svd_rwzero>) generate(<bage_prior_svd_rw2random>) generate(<bage_prior_svd_rw2zero>): Generate Values from Priors

generate(<bage_ssvd>): Generate Random Age or Age-Sex Profiles

is_fitted(): Test Whether a Model has Been Fitted

isl_deaths: Deaths in Iceland

kor_births: Births in South Korea

mod_binom(): Specify a Binomial Model

mod_norm(): Specify a Normal Model

mod_pois(): Specify a Poisson Model

n_draw(<bage_mod>): Get the Number of Draws for a Model Object

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

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

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

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