The draws_list format

Source: R/as_draws_list.R

The as_draws_list() methods convert objects to the draws_list format. The draws_list() function creates an object of the draws_list format based on a set of numeric vectors. See Details.

as_draws_list(x, ...)

# S3 method for default
as_draws_list(x, ...)

# S3 method for draws_list
as_draws_list(x, ...)

# S3 method for draws_matrix
as_draws_list(x, ...)

# S3 method for draws_array
as_draws_list(x, ...)

# S3 method for draws_df
as_draws_list(x, ...)

# S3 method for draws_rvars
as_draws_list(x, ...)

# S3 method for mcmc
as_draws_list(x, ...)

# S3 method for mcmc.list
as_draws_list(x, ...)

draws_list(..., .nchains = 1)

is_draws_list(x)

Arguments

x

An object to convert to a draws_list object.

...

For as_draws_list(): Arguments passed to individual methods (if applicable). For draws_list(): Named arguments containing numeric vectors each defining a separate variable.

.nchains

(positive integer) The number of chains. The default is 1.

Value

A draws_list object, which has classes c("draws_list", "draws", "list").

Details

Objects of class "draws_list" are lists with one element per MCMC chain. Each of these elements is itself a named list of numeric vectors with one vector per variable. The length of each vector is equal to the number of saved iterations per chain. See Examples.

See also

Other formats: draws, draws_array(), draws_df(), draws_matrix(), draws_rvars()

Examples

x1 <- as_draws_list(example_draws())
class(x1)
#> [1] "draws_list" "draws"      "list"      
print(x1)
#> # A draws_list: 100 iterations, 4 chains, and 10 variables
#> 
#> [chain = 1]
#> $mu
#>  [1] 2.01 1.46 5.81 6.85 1.81 3.84 5.47 1.20 0.15 7.17
#> 
#> $tau
#>  [1] 2.8 7.0 9.7 4.8 2.8 4.1 4.0 1.5 3.9 1.8
#> 
#> $`theta[1]`
#>  [1]  3.96  0.12 21.25 14.70  5.96  5.76  4.03 -0.28  1.81  6.08
#> 
#> $`theta[2]`
#>  [1]  0.271 -0.069 14.931  8.586  1.156  9.909  4.151  1.846  0.661  8.102
#> 
#> 
#> [chain = 2]
#> $mu
#>  [1]   2.99   8.17  -1.15  10.93   9.82 -10.90  -9.26   1.79   5.35   0.87
#> 
#> $tau
#>  [1] 2.80 2.76 0.57 2.45 2.80 6.08 9.33 6.81 2.82 6.69
#> 
#> $`theta[1]`
#>  [1]  6.26  9.32 -0.97 12.45  9.75  2.56 11.92  9.89  4.31  9.26
#> 
#> $`theta[2]`
#>  [1]  1.0  9.4 -1.2 12.5 11.9 -8.8 -6.1 11.6  2.8  8.4
#> 
#> # ... with 90 more iterations, and 2 more chains, and 6 more variables
str(x1)
#> List of 4
#>  $ 1:List of 10
#>   ..$ mu      : num [1:100] 2.01 1.46 5.81 6.85 1.81 ...
#>   ..$ tau     : num [1:100] 2.77 6.98 9.68 4.79 2.85 ...
#>   ..$ theta[1]: num [1:100] 3.962 0.124 21.251 14.7 5.96 ...
#>   ..$ theta[2]: num [1:100] 0.271 -0.069 14.931 8.586 1.156 ...
#>   ..$ theta[3]: num [1:100] -0.743 0.952 1.829 2.675 3.109 ...
#>   ..$ theta[4]: num [1:100] 2.1 7.28 1.38 4.39 1.99 ...
#>   ..$ theta[5]: num [1:100] 0.923 -0.062 0.531 4.758 0.769 ...
#>   ..$ theta[6]: num [1:100] 1.65 11.26 7.16 8.1 4.66 ...
#>   ..$ theta[7]: num [1:100] 3.32 9.62 14.8 9.49 1.21 ...
#>   ..$ theta[8]: num [1:100] 4.85 -8.64 -1.74 5.28 -4.54 ...
#>  $ 2:List of 10
#>   ..$ mu      : num [1:100] 2.99 8.17 -1.15 10.93 9.82 ...
#>   ..$ tau     : num [1:100] 2.804 2.757 0.569 2.453 2.798 ...
#>   ..$ theta[1]: num [1:100] 6.259 9.321 -0.972 12.455 9.751 ...
#>   ..$ theta[2]: num [1:100] 1.03 9.36 -1.19 12.53 11.94 ...
#>   ..$ theta[3]: num [1:100] 0.218 9.685 -1.373 11.155 12.718 ...
#>   ..$ theta[4]: num [1:100] -0.734 8.11 -0.794 10.476 9.698 ...
#>   ..$ theta[5]: num [1:100] 4.06 6.72 -0.787 10.595 9.946 ...
#>   ..$ theta[6]: num [1:100] 3.34 7.4 -1.18 10.51 8.35 ...
#>   ..$ theta[7]: num [1:100] 3.15 11.39 -1.43 15.54 12.91 ...
#>   ..$ theta[8]: num [1:100] -0.443 12.359 -1.775 14.45 15.171 ...
#>  $ 3:List of 10
#>   ..$ mu      : num [1:100] 1.7944 5.9864 2.5572 2.7944 -0.0296 ...
#>   ..$ tau     : num [1:100] 8.72 2.91 8.41 4.39 11.03 ...
#>   ..$ theta[1]: num [1:100] 13.32 6.31 10.56 5.37 8.2 ...
#>   ..$ theta[2]: num [1:100] 2.11 7.31 5.7 2.8 3.15 ...
#>   ..$ theta[3]: num [1:100] 1.38 4.11 -8.27 -10.77 -27.78 ...
#>   ..$ theta[4]: num [1:100] 7.82 4.7 6.8 6.8 12.32 ...
#>   ..$ theta[5]: num [1:100] -1.5 6.96 -3.15 -4.81 -14.91 ...
#>   ..$ theta[6]: num [1:100] 12.744 0.877 5.435 3.67 -0.246 ...
#>   ..$ theta[7]: num [1:100] 9.37 6.11 15.37 3.17 7.81 ...
#>   ..$ theta[8]: num [1:100] 11.98 2.26 4.27 2.91 3.52 ...
#>  $ 4:List of 10
#>   ..$ mu      : num [1:100] 6.459 9.145 0.203 3.693 5.48 ...
#>   ..$ tau     : num [1:100] 3.77 6.84 5.32 1.55 3 ...
#>   ..$ theta[1]: num [1:100] 5.776 2.086 15.719 2.689 -0.906 ...
#>   ..$ theta[2]: num [1:100] 4.96 8.19 6.04 2.67 3.19 ...
#>   ..$ theta[3]: num [1:100] 5.69 3.47 3.13 3.16 2.55 ...
#>   ..$ theta[4]: num [1:100] 4.84 7.78 6.06 7.92 11.27 ...
#>   ..$ theta[5]: num [1:100] 2.74 6.15 3.73 3.34 3.98 ...
#>   ..$ theta[6]: num [1:100] 0.607 1.227 1.538 0.26 -1.121 ...
#>   ..$ theta[7]: num [1:100] 9.54 10.12 7.11 2.11 7.31 ...
#>   ..$ theta[8]: num [1:100] 3.252 4.728 0.182 4.755 7.523 ...
#>  - attr(*, "class")= chr [1:3] "draws_list" "draws" "list"

x2 <- draws_list(a = rnorm(10), b = rnorm(10), c = 1)
class(x2)
#> [1] "draws_list" "draws"      "list"      
print(x2)
#> # A draws_list: 10 iterations, 1 chains, and 3 variables
#> 
#> [chain = 1]
#> $a
#>  [1] -2.07  0.73  0.66  0.51 -0.83  1.12  0.57  0.61  1.59 -0.17
#> 
#> $b
#>  [1]  1.730 -0.292  0.921  0.469 -0.089 -0.456 -0.245 -0.995  0.260  0.434
#> 
#> $c
#>  [1] 1 1 1 1 1 1 1 1 1 1
#> 
str(x2)
#> List of 1
#>  $ 1:List of 3
#>   ..$ a: num [1:10] -2.067 0.732 0.655 0.509 -0.834 ...
#>   ..$ b: num [1:10] 1.7301 -0.2923 0.9207 0.4694 -0.0888 ...
#>   ..$ c: num [1:10] 1 1 1 1 1 1 1 1 1 1
#>  - attr(*, "class")= chr [1:3] "draws_list" "draws" "list"