Convert ChainLadder triangle to reporting_triangle format
Source:R/as_ChainLadder_triangle.R
as_reporting_triangle.triangle.RdThis S3 method converts a ChainLadder triangle object to a reporting_triangle object, enabling use of baselinenowcast's nowcasting methods.
Usage
# S3 method for class 'triangle'
as_reporting_triangle(
data,
max_delay,
strata = NULL,
delays_unit = "days",
reference_dates = NULL,
...
)Arguments
- data
A ChainLadder triangle object (class "triangle").
- max_delay
Integer indicating the maximum delay.
- strata
Character string indicating the strata. Default is NULL.
- delays_unit
Character string specifying the temporal granularity of the delays. Options are
"days","weeks","months","years". For the matrix method, this is simply passed as an item in thereporting_triangleobject which will later be used to create a nowcast data.frame. For the data.frame method, this is used to compute the delay in terms of the specified unit, and to expand the combinations of reference dates and delays to the complete set of combinations in the reporting triangle. Default is"days".- reference_dates
Vector of dates corresponding to the rows of the triangle. If not provided, will attempt to coerce row names to dates. If row names cannot be coerced to dates and this is not provided, an error will be raised.
- ...
Additional arguments passed to
as_reporting_triangle.matrix().
Value
A reporting_triangle object. See reporting_triangle for details on the structure.
Details
This method converts a ChainLadder triangle back to baselinenowcast's
reporting_triangle format.
If reference_dates is not provided, the function will attempt to extract
dates from the triangle's row names.
The ChainLadder package must be installed to use this function.
The conversion uses as_reporting_triangle.matrix() internally after
extracting the matrix from the ChainLadder triangle object.
See also
as_ChainLadder_triangle()for converting to ChainLadderas_reporting_triangle.matrix()for the underlying methodas_reporting_triangle.data.frame()for creating from data frames
Reporting triangle construction and validation
as_ChainLadder_triangle(),
as_reporting_triangle(),
as_reporting_triangle.data.frame(),
as_reporting_triangle.matrix(),
assert_reporting_triangle(),
detect_structure(),
new_reporting_triangle(),
reporting_triangle-class
Examples
# Create a reporting triangle
data_as_of_df <- syn_nssp_df[syn_nssp_df$report_date <= "2026-04-01", ]
rep_tri <- as_reporting_triangle(
data = data_as_of_df,
max_delay = 25
)
# Convert to ChainLadder triangle
cl_triangle <- as_ChainLadder_triangle(rep_tri)
# Convert back to reporting_triangle (seamless round-trip)
rep_tri_2 <- as_reporting_triangle(
data = cl_triangle,
max_delay = 25
)
print(rep_tri_2)
#> $reporting_triangle_matrix
#> dev
#> origin 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18
#> 2025-10-25 194 54 26 13 12 13 5 0 0 0 14 9 14 0 0 0 6 0
#> 2025-10-26 198 53 29 40 11 5 1 0 0 20 0 22 0 10 7 0 0 20
#> 2025-10-27 167 58 33 14 0 7 4 8 12 8 0 0 6 0 19 6 9 0
#> 2025-10-28 145 69 22 11 5 19 23 13 8 15 0 0 0 3 0 10 0 9
#> 2025-10-29 180 100 0 25 12 15 31 7 4 12 5 12 5 0 8 0 0 0
#> 2025-10-30 220 48 0 21 11 16 24 14 0 0 0 0 8 0 0 0 0 0
#> 2025-10-31 326 94 14 33 42 26 27 0 0 20 11 0 2 5 14 0 5 8
#> 2025-11-01 202 87 0 33 31 18 0 0 26 12 0 0 0 0 0 0 5 0
#> 2025-11-02 256 75 13 39 19 22 7 11 5 5 5 6 4 0 0 8 12 5
#> 2025-11-03 213 43 1 33 14 10 23 8 3 12 4 0 8 5 22 0 0 0
#> 2025-11-04 229 128 28 23 10 26 8 15 31 15 8 0 13 0 11 5 0 14
#> 2025-11-05 237 38 24 58 1 16 15 11 0 12 0 10 0 0 13 0 1 0
#> 2025-11-06 242 87 8 0 13 22 15 7 0 0 0 0 0 1 0 0 0 10
#> 2025-11-07 325 78 36 14 26 10 16 15 7 11 26 6 15 0 0 0 1 0
#> 2025-11-08 211 72 29 27 25 6 10 16 27 26 0 16 0 0 0 0 9 0
#> 2025-11-09 340 162 35 28 22 13 11 12 23 22 0 8 9 9 0 0 0 0
#> 2025-11-10 241 139 14 18 14 8 16 14 25 10 1 3 0 18 0 0 1 14
#> 2025-11-11 258 98 26 10 13 27 8 33 15 8 21 0 32 8 7 12 24 0
#> 2025-11-12 279 126 23 8 35 6 33 31 13 0 12 0 0 14 0 7 20 0
#> 2025-11-13 176 15 11 13 10 9 32 1 19 16 0 8 7 8 4 1 0 0
#> 2025-11-14 167 41 2 15 0 12 12 8 0 5 12 0 1 15 0 0 0 0
#> 2025-11-15 246 35 20 15 11 14 9 0 14 6 18 7 18 12 0 18 12 0
#> 2025-11-16 210 134 53 9 22 3 16 34 22 18 12 10 10 0 0 8 0 0
#> 2025-11-17 157 83 20 6 16 0 30 22 7 4 13 0 0 21 0 0 8 0
#> 2025-11-18 202 65 30 19 0 31 12 37 4 1 24 1 0 11 0 4 0 0
#> 2025-11-19 239 61 21 0 8 20 0 32 13 0 0 19 13 7 1 10 0 0
#> 2025-11-20 160 109 25 73 32 50 40 26 0 17 11 15 19 0 0 0 0 11
#> 2025-11-21 310 63 19 15 26 10 18 10 17 11 8 27 1 1 0 0 0 0
#> 2025-11-22 268 114 32 52 27 10 17 6 8 21 5 10 0 9 17 0 5 1
#> 2025-11-23 266 80 42 49 6 20 6 30 22 12 6 31 6 9 0 14 21 9
#> 2025-11-24 287 95 41 32 8 11 11 1 18 12 12 11 0 6 8 0 7 0
#> 2025-11-25 202 36 7 0 17 22 21 8 0 2 0 10 16 15 1 11 6 0
#> 2025-11-26 288 146 28 5 41 32 28 12 17 11 0 9 8 17 0 7 9 16
#> 2025-11-27 223 60 26 5 14 1 11 27 11 0 5 13 7 0 18 0 0 11
#> 2025-11-28 246 35 11 15 21 27 22 10 0 3 0 0 0 0 0 0 0 4
#> 2025-11-29 273 22 20 29 35 38 0 0 11 9 17 5 0 0 8 1 0 9
#> 2025-11-30 289 113 10 37 28 15 0 6 27 27 28 45 0 2 9 0 1 1
#> 2025-12-01 305 89 21 17 13 13 33 30 21 34 17 10 0 1 13 0 0 13
#> 2025-12-02 284 92 18 23 9 28 32 32 14 24 10 0 8 7 0 0 0 0
#> 2025-12-03 279 91 16 14 12 13 31 13 0 0 6 19 17 5 14 6 0 0
#> 2025-12-04 225 82 8 49 27 17 28 8 3 0 0 9 24 3 4 12 0 8
#> 2025-12-05 174 60 26 14 7 9 26 7 13 19 15 1 0 10 0 0 7 0
#> 2025-12-06 286 90 32 25 21 15 0 11 2 3 26 5 1 0 0 0 0 7
#> 2025-12-07 190 107 45 33 34 6 19 14 10 26 31 6 5 0 5 0 0 7
#> 2025-12-08 291 72 23 43 11 3 56 48 8 21 14 0 13 10 12 7 8 0
#> 2025-12-09 323 168 36 26 38 23 50 52 45 41 0 3 16 6 6 0 0 4
#> 2025-12-10 192 83 11 37 33 26 21 15 10 0 0 1 3 1 0 20 9 0
#> 2025-12-11 151 70 44 22 38 48 14 17 8 0 13 15 1 11 0 8 0 14
#> 2025-12-12 213 93 26 21 15 14 14 5 1 14 7 21 3 10 0 0 0 0
#> 2025-12-13 187 77 28 20 8 10 13 0 6 13 14 9 0 0 0 0 0 6
#> 2025-12-14 272 56 58 24 36 14 5 9 14 10 8 0 0 14 6 0 0 0
#> 2025-12-15 205 98 25 23 29 9 25 15 1 15 0 0 9 15 0 11 14 0
#> 2025-12-16 268 53 47 38 16 10 10 9 12 31 0 0 7 10 10 0 0 0
#> 2025-12-17 177 96 23 17 8 0 14 13 14 0 0 0 5 0 6 0 0 0
#> 2025-12-18 213 63 34 15 23 23 0 21 8 0 11 12 1 24 0 0 0 0
#> 2025-12-19 218 113 25 36 26 24 10 18 16 7 22 28 10 0 4 0 13 8
#> 2025-12-20 135 101 17 39 9 12 10 8 7 6 4 0 0 0 0 17 14 6
#> 2025-12-21 161 35 17 25 12 4 7 0 9 23 7 0 7 0 9 1 0 0
#> 2025-12-22 256 70 14 19 28 25 32 15 9 32 12 3 3 1 10 0 0 0
#> 2025-12-23 160 75 46 37 17 28 25 5 9 4 0 16 12 13 0 7 4 0
#> 2025-12-24 207 105 5 12 8 16 25 11 11 1 0 11 0 0 8 0 0 0
#> 2025-12-25 233 71 22 17 8 18 18 23 1 0 12 11 0 12 7 0 0 0
#> 2025-12-26 194 128 35 20 19 41 17 21 11 27 0 8 8 0 0 2 0 8
#> 2025-12-27 233 34 23 15 22 9 12 0 19 0 0 11 0 0 0 4 0 0
#> 2025-12-28 163 71 39 26 22 8 5 0 20 23 14 0 0 0 0 7 0 0
#> 2025-12-29 137 142 22 40 15 0 10 0 18 21 0 0 0 0 0 0 0 0
#> 2025-12-30 210 70 36 21 18 25 11 6 13 0 0 0 24 6 0 5 0 0
#> 2025-12-31 127 46 21 12 25 17 0 12 0 0 0 0 7 12 0 0 0 0
#> 2026-01-01 172 61 6 24 16 18 11 0 0 0 0 2 5 30 16 0 0 0
#> 2026-01-02 119 29 25 15 0 7 0 0 7 6 13 11 0 0 0 0 0 0
#> 2026-01-03 93 70 29 12 8 26 10 8 6 26 0 3 0 14 0 16 14 0
#> 2026-01-04 172 63 32 13 20 0 0 18 0 7 19 12 0 0 0 4 0 0
#> 2026-01-05 126 44 13 19 0 10 38 22 0 17 5 0 0 0 5 0 0 0
#> 2026-01-06 265 79 31 22 16 12 44 36 7 20 13 7 10 6 6 0 8 0
#> 2026-01-07 168 48 16 21 6 13 23 17 1 0 2 1 27 0 0 0 0 0
#> 2026-01-08 176 23 9 14 0 5 12 9 0 0 0 7 0 0 0 0 0 0
#> 2026-01-09 187 56 8 9 0 41 3 0 8 1 0 10 7 1 0 15 3 0
#> 2026-01-10 133 5 18 16 28 18 0 12 0 0 8 0 0 0 0 0 0 0
#> 2026-01-11 96 46 20 22 8 0 9 13 1 0 0 7 0 0 15 0 0 17
#> 2026-01-12 194 139 56 26 13 4 13 20 0 0 14 0 6 16 6 13 1 0
#> 2026-01-13 234 76 30 16 12 26 12 15 10 13 7 1 5 0 15 11 0 13
#> 2026-01-14 225 49 24 7 31 25 18 0 7 0 4 0 15 0 0 14 0 0
#> 2026-01-15 105 56 10 33 22 8 14 8 10 5 11 8 8 9 9 5 0 10
#> 2026-01-16 148 27 29 22 15 18 15 0 0 11 13 0 0 1 0 0 0 0
#> 2026-01-17 162 60 34 9 0 30 10 12 6 20 11 0 12 0 0 7 8 3
#> 2026-01-18 207 54 55 0 23 13 7 0 11 7 6 9 0 0 12 10 11 0
#> 2026-01-19 239 69 41 13 12 4 35 34 1 21 8 1 0 15 36 0 0 19
#> 2026-01-20 189 108 22 24 24 8 17 7 20 22 0 10 15 19 10 2 6 0
#> 2026-01-21 176 53 9 26 12 11 34 31 12 0 0 0 1 11 8 0 0 0
#> 2026-01-22 276 25 38 13 42 18 30 9 0 0 7 19 2 8 0 0 6 18
#> 2026-01-23 260 25 29 11 12 13 20 0 0 7 18 0 4 5 11 0 0 0
#> 2026-01-24 203 47 16 51 29 17 13 34 26 23 20 1 10 6 0 0 0 3
#> 2026-01-25 330 147 37 55 13 0 13 30 27 33 28 19 0 0 0 0 0 13
#> 2026-01-26 331 93 37 28 40 27 37 30 41 14 26 0 7 6 0 10 4 0
#> 2026-01-27 188 105 27 21 26 23 23 31 9 28 0 0 15 12 13 1 2 0
#> 2026-01-28 225 72 16 15 26 10 47 4 23 1 0 10 9 16 0 0 0 0
#> 2026-01-29 275 230 36 46 30 32 30 13 7 0 36 16 6 0 17 0 0 2
#> 2026-01-30 197 127 35 12 14 16 9 0 3 34 22 17 16 0 9 0 1 0
#> 2026-01-31 242 87 17 13 20 7 16 13 17 18 8 18 3 0 0 0 9 0
#> 2026-02-01 294 132 25 19 33 24 7 21 6 24 6 0 0 0 16 5 0 0
#> 2026-02-02 252 134 66 71 22 11 22 16 8 24 18 9 0 0 16 7 9 21
#> 2026-02-03 289 105 45 27 13 14 19 30 1 5 0 0 33 7 12 9 10 0
#> 2026-02-04 297 80 85 0 44 16 27 21 27 9 0 20 17 5 18 0 0 0
#> 2026-02-05 237 80 40 46 8 24 48 15 0 13 14 5 16 17 3 0 0 0
#> 2026-02-06 328 145 65 47 1 45 16 27 1 16 42 20 30 19 0 0 0 15
#> 2026-02-07 342 88 34 10 26 8 27 3 0 3 21 23 4 7 0 0 9 5
#> 2026-02-08 444 95 48 32 33 6 0 23 50 18 0 0 8 0 0 13 21 0
#> 2026-02-09 298 225 66 53 7 32 42 25 21 35 23 0 15 16 1 5 21 0
#> 2026-02-10 314 137 19 19 21 34 32 31 24 9 0 1 10 14 15 17 0 0
#> 2026-02-11 344 133 30 8 30 28 16 45 41 18 12 0 13 23 3 25 15 0
#> 2026-02-12 402 228 56 26 34 31 35 19 0 4 6 25 15 12 3 10 0 3
#> 2026-02-13 305 71 38 24 9 34 34 0 14 2 9 8 44 13 12 0 6 0
#> 2026-02-14 344 89 43 32 36 13 12 20 0 10 9 0 43 8 3 3 29 21
#> 2026-02-15 564 122 74 33 48 15 17 21 9 28 34 45 0 0 15 32 10 0
#> 2026-02-16 417 180 51 30 12 21 11 32 23 14 14 14 0 0 25 32 18 14
#> 2026-02-17 345 126 90 67 26 12 29 42 17 9 9 11 0 26 19 5 8 0
#> 2026-02-18 412 88 7 1 18 16 67 28 23 0 13 0 20 12 29 28 0 0
#> 2026-02-19 306 158 20 22 27 34 45 16 11 0 0 6 28 37 11 6 0 0
#> 2026-02-20 406 204 42 34 34 20 29 6 6 2 15 1 11 46 0 16 8 9
#> 2026-02-21 404 151 73 35 34 39 17 9 0 24 15 25 30 0 0 9 26 3
#> 2026-02-22 313 178 47 12 39 30 9 21 17 9 27 1 8 0 0 13 25 16
#> 2026-02-23 615 270 35 81 45 26 63 65 42 51 38 15 14 6 10 35 38 51
#> 2026-02-24 470 243 73 30 35 28 34 25 22 5 0 0 4 16 1 25 32 0
#> 2026-02-25 662 275 50 23 40 13 43 64 13 0 5 20 3 14 11 17 6 0
#> 2026-02-26 534 159 74 76 21 52 22 50 0 10 40 22 6 19 0 5 0 3
#> 2026-02-27 638 196 91 66 38 43 62 20 19 43 39 12 14 18 0 18 0 1
#> 2026-02-28 591 230 71 68 58 36 12 28 30 44 28 21 25 8 0 14 31 16
#> 2026-03-01 556 184 47 48 51 40 41 34 5 20 13 22 0 8 10 19 6 8
#> 2026-03-02 487 252 82 69 23 13 57 33 48 49 25 23 1 9 27 15 10 5
#> 2026-03-03 603 261 96 47 27 58 60 35 43 33 18 7 30 37 20 18 7 12
#> 2026-03-04 411 178 65 16 27 17 23 79 46 0 8 9 0 13 0 8 3 0
#> 2026-03-05 504 224 39 73 50 13 24 17 13 23 22 5 18 28 3 5 0 17
#> 2026-03-06 533 96 24 45 29 36 31 41 15 14 13 12 33 19 0 0 20 29
#> 2026-03-07 310 126 43 33 36 12 12 24 28 24 15 32 15 17 7 10 2 8
#> 2026-03-08 414 215 56 84 46 23 19 24 26 16 35 27 0 1 0 9 10 8
#> 2026-03-09 689 333 101 90 58 47 17 26 64 37 22 7 10 16 31 0 11 15
#> 2026-03-10 477 102 67 21 7 30 20 31 51 11 15 11 20 0 17 31 14 0
#> 2026-03-11 493 185 49 17 44 34 32 57 31 5 6 21 26 6 14 7 0 0
#> 2026-03-12 340 116 69 17 17 31 26 15 12 5 32 0 34 4 0 4 0 11
#> 2026-03-13 251 100 32 42 18 20 37 11 11 0 28 0 8 6 0 7 13 7
#> 2026-03-14 300 99 47 34 5 45 18 0 20 16 20 14 19 0 0 0 0 3
#> 2026-03-15 378 77 22 16 16 1 11 14 38 14 8 13 0 0 0 16 3 16
#> 2026-03-16 508 147 37 37 13 15 32 27 16 6 11 4 6 23 0 10 14 NA
#> 2026-03-17 482 172 82 2 35 35 13 30 22 0 0 0 6 0 0 2 NA NA
#> 2026-03-18 295 197 53 47 19 18 36 8 10 0 0 20 18 2 21 NA NA NA
#> 2026-03-19 274 97 28 31 29 5 9 31 7 5 6 18 14 17 NA NA NA NA
#> 2026-03-20 171 36 34 26 13 46 11 12 18 1 8 8 31 NA NA NA NA NA
#> 2026-03-21 280 155 83 46 15 22 3 4 25 0 10 11 NA NA NA NA NA NA
#> 2026-03-22 246 95 57 19 38 14 10 0 0 10 18 NA NA NA NA NA NA NA
#> 2026-03-23 210 131 34 50 35 12 1 25 20 6 NA NA NA NA NA NA NA NA
#> 2026-03-24 221 96 22 10 13 6 0 5 9 NA NA NA NA NA NA NA NA NA
#> 2026-03-25 291 129 17 26 42 29 23 25 NA NA NA NA NA NA NA NA NA NA
#> 2026-03-26 179 96 22 50 9 8 18 NA NA NA NA NA NA NA NA NA NA NA
#> 2026-03-27 284 40 41 54 28 12 NA NA NA NA NA NA NA NA NA NA NA NA
#> 2026-03-28 217 78 46 14 39 NA NA NA NA NA NA NA NA NA NA NA NA NA
#> 2026-03-29 336 161 62 13 NA NA NA NA NA NA NA NA NA NA NA NA NA NA
#> 2026-03-30 296 53 55 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
#> 2026-03-31 210 108 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
#> 2026-04-01 236 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
#> dev
#> origin 19 20 21 22 23 24 25 26
#> 2025-10-25 0 0 0 0 12 0 10 0
#> 2025-10-26 0 0 0 0 0 10 0 6
#> 2025-10-27 0 0 0 0 0 0 0 0
#> 2025-10-28 0 0 0 0 9 0 0 0
#> 2025-10-29 5 5 0 0 0 0 0 0
#> 2025-10-30 0 0 0 0 0 0 0 0
#> 2025-10-31 2 0 0 0 0 0 0 0
#> 2025-11-01 0 0 0 0 0 0 0 0
#> 2025-11-02 0 0 0 10 13 0 0 0
#> 2025-11-03 0 0 11 15 0 0 0 0
#> 2025-11-04 0 0 0 17 5 0 6 13
#> 2025-11-05 4 19 9 0 9 0 0 8
#> 2025-11-06 4 0 2 0 0 0 0 4
#> 2025-11-07 0 13 0 0 0 0 7 0
#> 2025-11-08 7 10 0 0 6 0 14 0
#> 2025-11-09 0 0 3 14 0 0 0 0
#> 2025-11-10 3 5 8 0 0 0 0 1
#> 2025-11-11 0 4 0 0 0 3 0 9
#> 2025-11-12 17 8 9 0 0 0 1 0
#> 2025-11-13 0 0 0 0 0 0 0 0
#> 2025-11-14 0 0 3 0 0 0 0 0
#> 2025-11-15 0 0 0 0 6 0 0 0
#> 2025-11-16 0 0 0 0 9 12 0 0
#> 2025-11-17 0 0 0 7 10 0 0 0
#> 2025-11-18 0 0 0 0 12 0 0 0
#> 2025-11-19 0 10 0 0 0 0 0 0
#> 2025-11-20 12 1 11 0 0 0 0 8
#> 2025-11-21 1 0 0 0 0 1 0 0
#> 2025-11-22 0 4 0 0 0 1 0 2
#> 2025-11-23 0 0 0 0 0 0 0 0
#> 2025-11-24 0 0 0 0 0 0 0 0
#> 2025-11-25 7 5 0 9 5 0 0 0
#> 2025-11-26 8 6 0 4 0 10 0 7
#> 2025-11-27 0 0 0 0 0 0 0 0
#> 2025-11-28 13 0 0 0 0 0 0 0
#> 2025-11-29 0 0 0 0 0 0 0 0
#> 2025-11-30 13 0 0 7 2 0 0 0
#> 2025-12-01 0 4 0 0 0 0 17 0
#> 2025-12-02 0 0 7 0 0 0 0 0
#> 2025-12-03 10 4 15 0 7 15 0 0
#> 2025-12-04 0 0 0 0 0 0 0 0
#> 2025-12-05 0 7 8 0 0 0 0 0
#> 2025-12-06 0 0 0 0 0 0 0 2
#> 2025-12-07 0 0 0 0 0 1 16 11
#> 2025-12-08 0 8 0 0 0 0 3 0
#> 2025-12-09 0 11 8 0 0 0 23 0
#> 2025-12-10 0 8 0 10 0 0 0 0
#> 2025-12-11 15 0 8 6 0 10 0 0
#> 2025-12-12 0 0 0 0 0 0 14 0
#> 2025-12-13 0 6 0 0 0 0 0 0
#> 2025-12-14 0 0 0 0 15 0 0 0
#> 2025-12-15 0 7 7 0 0 0 0 0
#> 2025-12-16 0 0 0 0 0 0 0 0
#> 2025-12-17 0 0 0 0 0 0 0 0
#> 2025-12-18 0 0 1 0 0 0 0 0
#> 2025-12-19 1 0 10 5 0 0 18 0
#> 2025-12-20 0 0 4 9 0 16 0 0
#> 2025-12-21 0 0 0 11 0 4 0 0
#> 2025-12-22 13 0 0 0 0 0 14 0
#> 2025-12-23 0 0 0 0 0 0 0 0
#> 2025-12-24 8 1 9 8 0 0 0 7
#> 2025-12-25 8 0 0 0 0 0 0 0
#> 2025-12-26 0 6 0 0 0 0 1 0
#> 2025-12-27 4 0 0 0 0 4 0 0
#> 2025-12-28 0 0 0 0 0 0 0 5
#> 2025-12-29 0 0 0 0 0 1 0 0
#> 2025-12-30 0 0 0 3 0 0 0 0
#> 2025-12-31 0 0 0 0 0 0 0 0
#> 2026-01-01 0 10 0 0 0 0 0 0
#> 2026-01-02 5 0 0 0 0 0 2 0
#> 2026-01-03 0 0 0 0 0 0 0 0
#> 2026-01-04 0 0 0 1 0 5 0 0
#> 2026-01-05 0 0 0 0 0 0 0 0
#> 2026-01-06 0 8 0 5 0 0 0 0
#> 2026-01-07 0 0 0 0 0 0 0 0
#> 2026-01-08 0 0 0 0 0 0 0 1
#> 2026-01-09 17 0 0 0 0 0 4 6
#> 2026-01-10 0 7 0 0 0 0 0 9
#> 2026-01-11 0 0 0 0 0 0 1 0
#> 2026-01-12 11 0 0 0 0 8 0 0
#> 2026-01-13 0 0 7 5 8 10 0 0
#> 2026-01-14 5 11 0 0 4 0 0 8
#> 2026-01-15 0 0 0 0 0 0 1 0
#> 2026-01-16 0 0 0 0 0 0 0 0
#> 2026-01-17 6 0 0 2 0 6 0 0
#> 2026-01-18 0 0 0 0 0 0 0 16
#> 2026-01-19 5 9 0 6 0 0 0 0
#> 2026-01-20 0 0 0 0 0 0 0 0
#> 2026-01-21 0 0 14 6 0 0 0 0
#> 2026-01-22 0 8 0 0 0 0 0 4
#> 2026-01-23 0 0 0 0 0 0 0 0
#> 2026-01-24 0 6 14 4 0 5 0 0
#> 2026-01-25 0 0 0 0 0 7 0 0
#> 2026-01-26 0 0 0 0 0 0 9 0
#> 2026-01-27 1 14 0 0 0 0 0 0
#> 2026-01-28 0 1 14 0 6 0 0 0
#> 2026-01-29 0 5 9 0 0 0 0 0
#> 2026-01-30 0 11 0 10 8 0 0 7
#> 2026-01-31 10 10 0 0 0 0 0 1
#> 2026-02-01 4 0 0 0 0 0 0 0
#> 2026-02-02 0 0 0 12 13 0 0 4
#> 2026-02-03 0 0 8 0 0 0 0 0
#> 2026-02-04 1 8 1 13 7 0 0 0
#> 2026-02-05 1 8 0 13 0 0 0 0
#> 2026-02-06 1 0 0 0 0 0 0 0
#> 2026-02-07 5 0 0 5 0 0 0 0
#> 2026-02-08 11 0 0 6 6 0 0 0
#> 2026-02-09 0 0 0 0 0 0 0 0
#> 2026-02-10 0 0 3 7 1 0 0 1
#> 2026-02-11 0 0 21 0 1 0 0 0
#> 2026-02-12 11 20 17 17 14 0 7 0
#> 2026-02-13 7 0 8 0 0 0 9 0
#> 2026-02-14 9 1 0 0 0 13 0 0
#> 2026-02-15 0 12 0 5 0 20 0 0
#> 2026-02-16 14 0 7 8 9 0 0 13
#> 2026-02-17 6 32 5 5 12 3 0 0
#> 2026-02-18 13 21 0 0 0 0 4 9
#> 2026-02-19 0 14 3 6 0 3 0 19
#> 2026-02-20 9 0 5 0 0 0 0 10
#> 2026-02-21 2 13 0 0 0 0 0 20
#> 2026-02-22 29 0 0 10 0 13 9 42
#> 2026-02-23 0 2 10 5 23 3 11 14
#> 2026-02-24 0 0 16 4 0 0 0 0
#> 2026-02-25 0 22 10 6 10 2 1 11
#> 2026-02-26 0 33 18 7 0 1 6 9
#> 2026-02-27 3 11 15 0 9 3 0 0
#> 2026-02-28 8 0 0 0 0 9 13 0
#> 2026-03-01 18 0 19 0 7 0 0 12
#> 2026-03-02 24 17 8 6 5 4 14 6
#> 2026-03-03 13 0 7 0 13 3 0 0
#> 2026-03-04 4 5 0 0 15 9 0 9
#> 2026-03-05 10 0 13 6 8 0 0 0
#> 2026-03-06 31 5 0 0 0 0 16 10
#> 2026-03-07 1 14 0 0 7 0 0 5
#> 2026-03-08 0 15 0 0 10 0 4 NA
#> 2026-03-09 0 0 20 6 3 12 NA NA
#> 2026-03-10 0 12 7 6 15 NA NA NA
#> 2026-03-11 9 15 0 0 NA NA NA NA
#> 2026-03-12 9 0 9 NA NA NA NA NA
#> 2026-03-13 14 11 NA NA NA NA NA NA
#> 2026-03-14 0 NA NA NA NA NA NA NA
#> 2026-03-15 NA NA NA NA NA NA NA NA
#> 2026-03-16 NA NA NA NA NA NA NA NA
#> 2026-03-17 NA NA NA NA NA NA NA NA
#> 2026-03-18 NA NA NA NA NA NA NA NA
#> 2026-03-19 NA NA NA NA NA NA NA NA
#> 2026-03-20 NA NA NA NA NA NA NA NA
#> 2026-03-21 NA NA NA NA NA NA NA NA
#> 2026-03-22 NA NA NA NA NA NA NA NA
#> 2026-03-23 NA NA NA NA NA NA NA NA
#> 2026-03-24 NA NA NA NA NA NA NA NA
#> 2026-03-25 NA NA NA NA NA NA NA NA
#> 2026-03-26 NA NA NA NA NA NA NA NA
#> 2026-03-27 NA NA NA NA NA NA NA NA
#> 2026-03-28 NA NA NA NA NA NA NA NA
#> 2026-03-29 NA NA NA NA NA NA NA NA
#> 2026-03-30 NA NA NA NA NA NA NA NA
#> 2026-03-31 NA NA NA NA NA NA NA NA
#> 2026-04-01 NA NA NA NA NA NA NA NA
#>
#> $reference_dates
#> [1] "2025-10-25" "2025-10-26" "2025-10-27" "2025-10-28" "2025-10-29"
#> [6] "2025-10-30" "2025-10-31" "2025-11-01" "2025-11-02" "2025-11-03"
#> [11] "2025-11-04" "2025-11-05" "2025-11-06" "2025-11-07" "2025-11-08"
#> [16] "2025-11-09" "2025-11-10" "2025-11-11" "2025-11-12" "2025-11-13"
#> [21] "2025-11-14" "2025-11-15" "2025-11-16" "2025-11-17" "2025-11-18"
#> [26] "2025-11-19" "2025-11-20" "2025-11-21" "2025-11-22" "2025-11-23"
#> [31] "2025-11-24" "2025-11-25" "2025-11-26" "2025-11-27" "2025-11-28"
#> [36] "2025-11-29" "2025-11-30" "2025-12-01" "2025-12-02" "2025-12-03"
#> [41] "2025-12-04" "2025-12-05" "2025-12-06" "2025-12-07" "2025-12-08"
#> [46] "2025-12-09" "2025-12-10" "2025-12-11" "2025-12-12" "2025-12-13"
#> [51] "2025-12-14" "2025-12-15" "2025-12-16" "2025-12-17" "2025-12-18"
#> [56] "2025-12-19" "2025-12-20" "2025-12-21" "2025-12-22" "2025-12-23"
#> [61] "2025-12-24" "2025-12-25" "2025-12-26" "2025-12-27" "2025-12-28"
#> [66] "2025-12-29" "2025-12-30" "2025-12-31" "2026-01-01" "2026-01-02"
#> [71] "2026-01-03" "2026-01-04" "2026-01-05" "2026-01-06" "2026-01-07"
#> [76] "2026-01-08" "2026-01-09" "2026-01-10" "2026-01-11" "2026-01-12"
#> [81] "2026-01-13" "2026-01-14" "2026-01-15" "2026-01-16" "2026-01-17"
#> [86] "2026-01-18" "2026-01-19" "2026-01-20" "2026-01-21" "2026-01-22"
#> [91] "2026-01-23" "2026-01-24" "2026-01-25" "2026-01-26" "2026-01-27"
#> [96] "2026-01-28" "2026-01-29" "2026-01-30" "2026-01-31" "2026-02-01"
#> [101] "2026-02-02" "2026-02-03" "2026-02-04" "2026-02-05" "2026-02-06"
#> [106] "2026-02-07" "2026-02-08" "2026-02-09" "2026-02-10" "2026-02-11"
#> [111] "2026-02-12" "2026-02-13" "2026-02-14" "2026-02-15" "2026-02-16"
#> [116] "2026-02-17" "2026-02-18" "2026-02-19" "2026-02-20" "2026-02-21"
#> [121] "2026-02-22" "2026-02-23" "2026-02-24" "2026-02-25" "2026-02-26"
#> [126] "2026-02-27" "2026-02-28" "2026-03-01" "2026-03-02" "2026-03-03"
#> [131] "2026-03-04" "2026-03-05" "2026-03-06" "2026-03-07" "2026-03-08"
#> [136] "2026-03-09" "2026-03-10" "2026-03-11" "2026-03-12" "2026-03-13"
#> [141] "2026-03-14" "2026-03-15" "2026-03-16" "2026-03-17" "2026-03-18"
#> [146] "2026-03-19" "2026-03-20" "2026-03-21" "2026-03-22" "2026-03-23"
#> [151] "2026-03-24" "2026-03-25" "2026-03-26" "2026-03-27" "2026-03-28"
#> [156] "2026-03-29" "2026-03-30" "2026-03-31" "2026-04-01"
#>
#> $structure
#> [1] 1
#>
#> $max_delay
#> [1] 25
#>
#> $delays_unit
#> [1] "days"
#>
#> $strata
#> NULL
#>
#> attr(,"class")
#> [1] "reporting_triangle"