generate.bage_prior_ar: Generate Values from Priors

In bage: Bayesian Estimation and Forecasting of Age-Specific Rates

Generate Values from Priors

Description

Generate draws from priors for model terms.

Usage

## S3 method for class 'bage_prior_ar'
generate(x, n_along = 20, n_by = 1, n_draw = 25, ...)

## S3 method for class 'bage_prior_known'
generate(x, n_element = 20, n_draw = 25, ...)

## S3 method for class 'bage_prior_lin'
generate(x, n_along = 20, n_by = 1, n_draw = 25, ...)

## S3 method for class 'bage_prior_linar'
generate(x, n_along = 20, n_by = 1, n_draw = 25, ...)

## S3 method for class 'bage_prior_linex'
generate(x, n_along = 20, n_by = 1, n_draw = 25, ...)

## S3 method for class 'bage_prior_norm'
generate(x, n_element = 20, n_draw = 25, ...)

## S3 method for class 'bage_prior_normfixed'
generate(x, n_element = 20, n_draw = 25, ...)

## S3 method for class 'bage_prior_rwrandom'
generate(x, n_along = 20, n_by = 1, n_draw = 25, ...)

## S3 method for class 'bage_prior_rwrandomseasfix'
generate(x, n_along = 20, n_by = 1, n_draw = 25, ...)

## S3 method for class 'bage_prior_rwrandomseasvary'
generate(x, n_along = 20, n_by = 1, n_draw = 25, ...)

## S3 method for class 'bage_prior_rwzero'
generate(x, n_along = 20, n_by = 1, n_draw = 25, ...)

## S3 method for class 'bage_prior_rwzeroseasfix'
generate(x, n_along = 20, n_by = 1, n_draw = 25, ...)

## S3 method for class 'bage_prior_rwzeroseasvary'
generate(x, n_along = 20, n_by = 1, n_draw = 25, ...)

## S3 method for class 'bage_prior_rw2random'
generate(x, n_along = 20, n_by = 1, n_draw = 25, ...)

## S3 method for class 'bage_prior_rw2randomseasfix'
generate(x, n_along = 20, n_by = 1, n_draw = 25, ...)

## S3 method for class 'bage_prior_rw2randomseasvary'
generate(x, n_along = 20, n_by = 1, n_draw = 25, ...)

## S3 method for class 'bage_prior_rw2zero'
generate(x, n_along = 20, n_by = 1, n_draw = 25, ...)

## S3 method for class 'bage_prior_rw2zeroseasfix'
generate(x, n_along = 20, n_by = 1, n_draw = 25, ...)

## S3 method for class 'bage_prior_rw2zeroseasvary'
generate(x, n_along = 20, n_by = 1, n_draw = 25, ...)

## S3 method for class 'bage_prior_spline'
generate(x, n_along = 20, n_by = 1, n_draw = 25, ...)

## S3 method for class 'bage_prior_svd'
generate(x, n_element = 1, n_draw = 25, ...)

## S3 method for class 'bage_prior_svd_ar'
generate(x, n_along = 5, n_by = 1, n_draw = 25, ...)

## S3 method for class 'bage_prior_svd_rwrandom'
generate(x, n_along = 5, n_by = 1, n_draw = 25, ...)

## S3 method for class 'bage_prior_svd_rwzero'
generate(x, n_along = 5, n_by = 1, n_draw = 25, ...)

## S3 method for class 'bage_prior_svd_rw2random'
generate(x, n_along = 5, n_by = 1, n_draw = 25, ...)

## S3 method for class 'bage_prior_svd_rw2zero'
generate(x, n_along = 5, n_by = 1, n_draw = 25, ...)

Arguments

x	Object of class "bage_prior"
n_along	Number of elements of 'along' dimension. Default is 20.
n_by	Number of combinations of 'by' variables. Default is 1.
n_draw	Number of draws. Default is 25.
...	Unused. Included for generic consistency only.
n_element	Number of elements in term, in priors that do not distinguish 'along' and 'by' dimensions. Default is 20.

Details

Some priors distinguish between 'along' and 'by' dimensions, while others do not: see priors for a complete list. Arguments n_along and n_by are used with priors that make the distinction, and argument n_element is used with priors that do not.

Value

A tibble

See Also

• priors Overview of priors implemented in bage

Examples

## prior that distinguishes 'along' and 'by'
x <- RW()
generate(x, n_along = 10, n_by = 2)

## prior that does not distinguish
x <- N()
generate(x, n_element = 20)

## SVD_AR(), SVD_RW(), and SVD_RW2()
## distinguish 'along' and 'by'
x <- SVD_AR(HFD)
generate(x, n_along = 5, n_by = 2)

## SVD() does not
x <- SVD(HFD)
generate(x, n_element = 10)

bage documentation built on April 3, 2025, 8:53 p.m.