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.
Value
A tibble
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.
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)
#> # A tibble: 500 × 4
#> draw by along value
#> <fct> <fct> <int> <dbl>
#> 1 Draw 1 By 1 1 -0.849
#> 2 Draw 1 By 1 2 -0.906
#> 3 Draw 1 By 1 3 -0.570
#> 4 Draw 1 By 1 4 0.131
#> 5 Draw 1 By 1 5 0.0182
#> 6 Draw 1 By 1 6 0.171
#> 7 Draw 1 By 1 7 0.462
#> 8 Draw 1 By 1 8 0.407
#> 9 Draw 1 By 1 9 0.236
#> 10 Draw 1 By 1 10 0.306
#> # ℹ 490 more rows
## prior that does not distinguish
x <- N()
generate(x, n_element = 20)
#> # A tibble: 500 × 3
#> draw element value
#> <fct> <int> <dbl>
#> 1 Draw 1 1 0.152
#> 2 Draw 1 2 0.351
#> 3 Draw 1 3 0.475
#> 4 Draw 1 4 0.470
#> 5 Draw 1 5 -0.405
#> 6 Draw 1 6 0.833
#> 7 Draw 1 7 -0.241
#> 8 Draw 1 8 -0.888
#> 9 Draw 1 9 -0.0349
#> 10 Draw 1 10 0.881
#> # ℹ 490 more rows
## SVD_AR(), SVD_RW(), and SVD_RW2()
## distinguish 'along' and 'by'
x <- SVD_AR(HFD)
generate(x, n_along = 5, n_by = 2)
#> # A tibble: 11,000 × 5
#> draw by along age value
#> <fct> <fct> <int> <fct> <dbl>
#> 1 Draw 1 By 1 1 12 -14.9
#> 2 Draw 1 By 1 1 13 -12.5
#> 3 Draw 1 By 1 1 14 -9.35
#> 4 Draw 1 By 1 1 15 -6.89
#> 5 Draw 1 By 1 1 16 -4.99
#> 6 Draw 1 By 1 1 17 -3.58
#> 7 Draw 1 By 1 1 18 -2.69
#> 8 Draw 1 By 1 1 19 -2.19
#> 9 Draw 1 By 1 1 20 -1.90
#> 10 Draw 1 By 1 1 21 -1.78
#> # ℹ 10,990 more rows
## SVD() does not
x <- SVD(HFD)
generate(x, n_element = 10)
#> # A tibble: 11,000 × 4
#> draw element age value
#> <fct> <int> <fct> <dbl>
#> 1 Draw 1 1 12 -11.2
#> 2 Draw 1 1 13 -9.18
#> 3 Draw 1 1 14 -8.06
#> 4 Draw 1 1 15 -6.85
#> 5 Draw 1 1 16 -5.72
#> 6 Draw 1 1 17 -4.94
#> 7 Draw 1 1 18 -4.32
#> 8 Draw 1 1 19 -3.77
#> 9 Draw 1 1 20 -3.41
#> 10 Draw 1 1 21 -3.15
#> # ℹ 10,990 more rows