Assign data to template for chosen model

Usage

hmde_assign_data(model_template, data = NULL, ...)

Arguments

model_template: output from hmde_model
data: Input data tibble with columns including time, y_obs, obs_index, and additionally ind_id for multi-individual models
...: data-masking name-value pairs allowing specific input of elements

Value

updated named list with your data assigned to Stan model parameters

Examples

# basic usage of hmde_assign_data
hmde_model("constant_single_ind") |> hmde_assign_data(Trout_Size_Data)
#> $n_obs
#> [1] 135
#> 
#> $y_obs
#>   [1] 52 60 70 80 80 85 93 94 52 65 76 80 68 68 60 72 79 83 42 43 40 38 66 77 53
#>  [26] 61 83 87 86 81 79 68 77 58 69 76 74 87 90 78 87 83 64 70 74 51 59 65 59 66
#>  [51] 62 78 67 63 75 74 53 66 57 35 69 68 55 80 61 71 53 58 64 65 66 71 69 75 79
#>  [76] 64 66 61 61 57 59 84 85 62 64 71 75 76 78 40 42 65 73 81 86 64 74 82 78 88
#> [101] 88 70 79 85 89 62 79 66 72 71 76 82 84 74 84 95 75 80 85 87 88 77 79 80 81
#> [126] 86 90 90 62 73 82 83 67 84 89
#> 
#> $obs_index
#>   [1] 1 2 3 4 1 2 3 4 1 2 3 4 1 2 1 2 3 4 1 2 1 2 1 2 1 2 1 2 3 1 2 1 2 1 2 3 4
#>  [38] 1 2 1 2 3 1 2 3 1 2 3 1 2 1 2 3 1 2 3 1 2 1 2 1 2 1 2 1 2 1 2 3 4 1 2 3 1
#>  [75] 2 1 2 1 2 1 2 1 2 1 2 1 2 3 4 1 2 1 2 1 2 1 2 3 1 2 3 1 2 3 4 1 2 1 2 3 1
#> [112] 2 3 1 2 3 1 2 1 2 3 1 2 3 1 2 3 4 1 2 3 4 1 2 3
#> 
#> $time
#>   [1] 0.000000000 1.913757700 4.019164956 6.036960986 0.000000000 1.897330595
#>   [7] 3.937029432 5.963039014 0.000000000 2.026009582 4.232717317 5.420944559
#>  [13] 0.000000000 0.793976728 0.000000000 1.973990418 3.890485969 5.979466119
#>  [19] 0.000000000 0.851471595 0.000000000 0.002737851 0.000000000 1.754962355
#>  [25] 0.000000000 1.801505818 0.000000000 1.891854894 2.521560575 0.000000000
#>  [31] 0.741957563 0.000000000 2.047912389 0.000000000 2.031485284 4.005475702
#>  [37] 5.834360027 0.000000000 2.067077344 0.000000000 2.149212868 4.016427105
#>  [43] 0.000000000 1.889117043 4.068446270 0.000000000 2.004106776 3.742642026
#>  [49] 0.000000000 2.091718001 0.000000000 2.001368925 3.926078029 0.000000000
#>  [55] 2.009582478 2.015058179 0.000000000 4.054757016 0.000000000 2.047912389
#>  [61] 0.000000000 1.212867899 0.000000000 1.976728268 0.000000000 2.143737166
#>  [67] 0.000000000 1.853524983 3.901437372 4.925393566 0.000000000 2.132785763
#>  [73] 2.844626968 0.000000000 1.941136208 0.000000000 0.903490760 0.000000000
#>  [79] 0.917180014 0.000000000 0.848733744 0.000000000 2.759753593 0.000000000
#>  [85] 0.876112252 0.000000000 2.009582478 3.983572895 5.905544148 0.000000000
#>  [91] 1.670088980 0.000000000 0.818617385 0.000000000 3.299110198 0.000000000
#>  [97] 1.954825462 3.225188227 0.000000000 1.949349760 5.169062286 0.000000000
#> [103] 1.760438056 3.874058864 5.043121150 0.000000000 1.582477755 0.000000000
#> [109] 1.817932923 1.998631075 0.000000000 2.193018480 3.233401780 0.000000000
#> [115] 2.020533881 5.809719370 0.000000000 0.229979466 0.000000000 1.916495551
#> [121] 3.986310746 0.000000000 1.878165640 3.789185489 0.000000000 1.733059548
#> [127] 3.822039699 8.780287474 0.000000000 1.924709103 4.005475702 6.995208761
#> [133] 0.000000000 4.005475702 8.005475702
#> 
#> $prior_pars_ind_beta
#> [1] 0 2
#> 
#> $prior_pars_global_error_sigma
#> [1] 0 2
#> 
#> $model
#> [1] "constant_single_ind"
#> 
#> attr(,"class")
#> [1] "hmde_object"