tests/testthat/_snaps/enw_report.md

In epiforecasts/epinowcast: Flexible Hierarchical Nowcasting

enw_report supports non-parametric models

Code
  rep <- enw_report(~ 1 + day_of_week, data = pobs)
  rep$inits <- NULL
  rep
Output
  $formula
  $formula$non_parametric
  [1] "~1 + day_of_week"


  $data
  $data$rep_fintercept
  [1] 1

  $data$rep_fnrow
  [1] 7

  $data$rep_findex
       [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9] [,10] [,11] [,12] [,13] [,14]
  [1,]    1    2    3    4    5    6    7    1    2     3     4     5     6     7
       [,15] [,16] [,17] [,18] [,19] [,20] [,21] [,22] [,23] [,24] [,25] [,26]
  [1,]     1     2     3     4     5     6     7     1     2     3     4     5
       [,27] [,28] [,29] [,30] [,31] [,32] [,33] [,34] [,35] [,36] [,37] [,38]
  [1,]     6     7     1     2     3     4     5     6     7     1     2     3
       [,39] [,40] [,41] [,42] [,43] [,44] [,45] [,46] [,47] [,48] [,49] [,50]
  [1,]     4     5     6     7     1     2     3     4     5     6     7     1
       [,51] [,52] [,53] [,54] [,55] [,56] [,57] [,58] [,59] [,60]
  [1,]     2     3     4     5     6     7     1     2     3     4

  $data$rep_fnindex
  [1] 60

  $data$rep_fncol
  [1] 6

  $data$rep_rncol
  [1] 0

  $data$rep_fdesign
    day_of_weekMonday day_of_weekSaturday day_of_weekSunday day_of_weekThursday
  1                 0                   0                 0                   0
  2                 0                   0                 0                   0
  3                 0                   0                 0                   1
  4                 0                   0                 0                   0
  5                 0                   1                 0                   0
  6                 0                   0                 1                   0
  7                 1                   0                 0                   0
    day_of_weekTuesday day_of_weekWednesday
  1                  1                    0
  2                  0                    1
  3                  0                    0
  4                  0                    0
  5                  0                    0
  6                  0                    0
  7                  0                    0

  $data$rep_rdesign
    (Intercept)
  1           1
  2           1
  3           1
  4           1
  5           1
  6           1
  attr(,"assign")
  [1] 0

  $data$rep_t
  [1] 60

  $data$model_rep
  [1] 1


  $priors
        variable                                             description
  1: rep_beta_sd Standard deviation of scaled pooled report date effects
              distribution mean sd
  1: Zero truncated normal    0  1

epiforecasts/epinowcast documentation built on Feb. 3, 2025, 4:17 p.m.