.validate_multiple_inputs

Validate the inputs to <code>estimate_and_apply_uncertainty()</code> to ensure that
the reporting triangle, point nowcast matrix, and specified maximum delay
are correct.

internal

Nowcasting right-truncated epidemiological data is critical
for timely public health decision-making, as reporting delays can create
misleading impressions of declining trends in recent data. This package
provides nowcasting methods based on using empirical
delay distributions and uncertainty from past performance. It is also designed
to be used as a baseline method for developers of new nowcasting methods.
For more details on the performance of the method(s) in this package applied
to case studies of COVID-19 and norovirus, see our recent paper at
<https://wellcomeopenresearch.org/articles/10-614>. The package supports
standard data frame inputs with reference date, report date, and
count columns, as well as the direct use of reporting triangles, and is
compatible with 'epinowcast' objects. Alongside
an opinionated default workflow, it has a low-level pipe-friendly modular
interface, allowing context-specific workflows. It can accommodate a wide
spectrum of reporting schedules, including mixed patterns of reference and
reporting (daily-weekly, weekly-daily). It also supports sharing delay
distributions and uncertainty estimates between strata,
as well as custom uncertainty models and delay estimation methods.

Kaitlyn Johnson

baselinenowcast

Baseline Nowcasting for Right-Truncated Epidemiological Data

Emily Tyszka

Johannes Bracher

Sebastian Funk

Sam Abbott

Tim Taylor

.validate_multiple_inputs function

<dl><dt>point_nowcast_matrix</dt>
<dd>Matrix of point nowcast predictions and
observations, with rows representing the reference times and columns
representing the delays.</dd>
<dt>reporting_triangle</dt>
<dd>A reporting_triangle object with rows
representing reference times and columns representing delays.
Can be a reporting matrix or incomplete reporting matrix.
Can also be a ragged reporting triangle, where multiple columns are
reported for the same row (e.g., weekly reporting of daily data).</dd></dl>

Arguments

Validate the inputs to estimate_and_apply_uncertainty() to ensure that
the reporting triangle, point nowcast matrix, and specified maximum delay
are correct. — .validate_multiple_inputs

<dl>

<dt>point_nowcast_matrix</dt>
<dd>Matrix of point nowcast predictions and
observations, with rows representing the reference times and columns
representing the delays.</dd>


<dt>reporting_triangle</dt>
<dd>A reporting_triangle object with rows
representing reference times and columns representing delays.
Can be a reporting matrix or incomplete reporting matrix.
Can also be a ragged reporting triangle, where multiple columns are
reported for the same row (e.g., weekly reporting of daily data).</dd>

</dl>

Validate the inputs to <code>estimate_and_apply_uncertainty()</code> to ensure that
the reporting triangle, point nowcast matrix, and specified maximum delay
are correct.

.validate_multiple_inputs: Validate the inputs to `estimate_and_apply_uncertainty()` to ensure that the reporting triangle, point nowcast matrix, and specified maximum delay are correct.

Description

Usage

Value

Arguments