Code
obs <- enw_obs(family = "negbin", data = pobs)
obs$inits <- NULL
obs
Output
$family
[1] "negbin"
$data
$data$n
[1] 45
$data$t
[1] 11
$data$s
[1] 11
$data$g
[1] 1
$data$groups
[1] 1
$data$st
[1] 1 2 3 4 5 6 7 8 9 10 11
$data$ts
1
[1,] 1
[2,] 2
[3,] 3
[4,] 4
[5,] 5
[6,] 6
[7,] 7
[8,] 8
[9,] 9
[10,] 10
[11,] 11
$data$sl
[1] 5 5 5 5 5 5 5 4 3 2 1
$data$csl
[1] 5 10 15 20 25 30 35 39 42 44 45
$data$lsl
[1] 5 5 5 5 5 5 5 4 3 2 1
$data$clsl
[1] 5 10 15 20 25 30 35 39 42 44 45
$data$nsl
[1] 5 5 5 5 5 5 5 4 3 2 1
$data$cnsl
[1] 5 10 15 20 25 30 35 39 42 44 45
$data$sg
[1] 1 1 1 1 1 1 1 1 1 1 1
$data$dmax
[1] 5
$data$sdmax
[1] 5 5 5 5 5 5 5 5 5 5 5
$data$csdmax
[1] 5 10 15 20 25 30 35 40 45 50 55
$data$obs
0 1 2 3 4
[1,] 89 48 28 8 1
[2,] 86 44 9 3 27
[3,] 79 36 7 16 19
[4,] 22 24 35 18 10
[5,] 23 32 22 10 8
[6,] 96 85 30 18 10
[7,] 92 86 23 18 4
[8,] 84 87 27 4 0
[9,] 98 61 12 0 0
[10,] 69 43 0 0 0
[11,] 45 0 0 0 0
$data$flat_obs
[1] 89 48 28 8 1 86 44 9 3 27 79 36 7 16 19 22 24 35 18 10 23 32 22 10 8
[26] 96 85 30 18 10 92 86 23 18 4 84 87 27 4 98 61 12 69 43 45
$data$flat_obs_lookup
[1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25
[26] 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45
$data$latest_obs
1
[1,] 174
[2,] 169
[3,] 157
[4,] 109
[5,] 95
[6,] 239
[7,] 223
[8,] 202
[9,] 171
[10,] 112
[11,] 45
$data$model_obs
[1] 1
$priors
variable description
1: sqrt_phi One over the square root of the reporting overdispersion
distribution mean sd
1: Zero truncated normal 0 0.5
Code
obs_missing <- enw_obs(family = "negbin", data = pobs_missing,
observation_indicator = ".observed")
obs_missing$inits <- NULL
obs_missing
Output
$family
[1] "negbin"
$data
$data$n
[1] 43
$data$t
[1] 11
$data$s
[1] 11
$data$g
[1] 1
$data$groups
[1] 1
$data$st
[1] 1 2 3 4 5 6 7 8 9 10 11
$data$ts
1
[1,] 1
[2,] 2
[3,] 3
[4,] 4
[5,] 5
[6,] 6
[7,] 7
[8,] 8
[9,] 9
[10,] 10
[11,] 11
$data$sl
[1] 5 5 5 5 5 5 5 4 3 2 1
$data$csl
[1] 5 10 15 20 25 30 35 39 42 44 45
$data$lsl
[1] 5 5 5 5 5 5 5 4 3 2 1
$data$clsl
[1] 5 10 15 20 25 30 35 39 42 44 45
$data$nsl
[1] 4 4 5 5 5 5 5 4 3 2 1
$data$cnsl
[1] 4 8 13 18 23 28 33 37 40 42 43
$data$sg
[1] 1 1 1 1 1 1 1 1 1 1 1
$data$dmax
[1] 5
$data$sdmax
[1] 5 5 5 5 5 5 5 5 5 5 5
$data$csdmax
[1] 5 10 15 20 25 30 35 40 45 50 55
$data$obs
0 1 2 3 4
[1,] 89 0 76 8 1
[2,] 0 130 9 3 27
[3,] 79 36 7 16 19
[4,] 22 24 35 18 10
[5,] 23 32 22 10 8
[6,] 96 85 30 18 10
[7,] 92 86 23 18 4
[8,] 84 87 27 4 0
[9,] 98 61 12 0 0
[10,] 69 43 0 0 0
[11,] 45 0 0 0 0
$data$flat_obs
[1] 89 76 8 1 130 9 3 27 79 36 7 16 19 22 24 35 18 10 23
[20] 32 22 10 8 96 85 30 18 10 92 86 23 18 4 84 87 27 4 98
[39] 61 12 69 43 45
$data$flat_obs_lookup
[1] 1 3 4 5 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27
[26] 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45
$data$latest_obs
1
[1,] 174
[2,] 169
[3,] 157
[4,] 109
[5,] 95
[6,] 239
[7,] 223
[8,] 202
[9,] 171
[10,] 112
[11,] 45
$data$model_obs
[1] 1
$priors
variable description
1: sqrt_phi One over the square root of the reporting overdispersion
distribution mean sd
1: Zero truncated normal 0 0.5
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