enw_metadata_delay | R Documentation |
Calculate delay metadata based on the supplied maximum delay and independent
of other metadata or date indexing. These data are meant to be used in
conjunction with metadata on the date of reference. Users can build
additional features with this data.frame
or regenerate it using this
function in the output of enw_preprocess_data()
.
enw_metadata_delay(max_delay = 20, breaks = 4, timestep = "day")
max_delay |
The maximum number of days to model in the delay
distribution. Must be an integer greater than or equal to 1. Observations
with delays larger then the maximum delay will be dropped. If the specified
maximum delay is too short, nowcasts can be biased as important parts of the
true delay distribution are cut off. At the same time, computational cost
scales non-linearly with this setting, so you want the maximum delay to be as
long as necessary, but not much longer. Consider what delays are realistic
for your application, and when in doubt, check if increasing the maximum
delay noticeably changes the delay distribution or nowcasts as estimated by
epinowcast. If it does, your maximum delay may still be too short.
Note that delays are zero indexed and so include the reference date and
|
breaks |
Numeric, defaults to 4. The number of breaks to use when constructing a categorised version of numeric delays. |
timestep |
The timestep to used. This can be a string ("day", "week", "month") or a numeric whole number representing the number of days. |
A data.frame
of delay metadata. This includes:
delay
: The numeric delay from reference date to report.
delay_cat
: The categorised delay. This may be useful for model building.
delay_week
: The numeric week since the delay was reported. This again
may be useful for model building.
delay_head
: A logical variable defining if the delay is in the lower
25% of the potential delays. This may be particularly useful when building
models that assume a parametric distribution in order to increase the weight
of the head of the reporting distribution in a pragmatic way.
delay_tail
: A logical variable defining if the delay is in the upper
75% of the potential delays. This may be particularly useful when building
models that assume a parametric distribution in order to increase the weight
of the tail of the reporting distribution in a pragmatic way.
Preprocessing functions
enw_add_delay()
,
enw_add_max_reported()
,
enw_add_metaobs_features()
,
enw_assign_group()
,
enw_complete_dates()
,
enw_construct_data()
,
enw_extend_date()
,
enw_filter_delay()
,
enw_filter_reference_dates()
,
enw_filter_report_dates()
,
enw_flag_observed_observations()
,
enw_impute_na_observations()
,
enw_latest_data()
,
enw_metadata()
,
enw_missing_reference()
,
enw_preprocess_data()
,
enw_reporting_triangle()
,
enw_reporting_triangle_to_long()
enw_metadata_delay(max_delay = 20, breaks = 4)
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