maape

maape.data.frame

Useful when MAPE returns Inf (e.g., intermittent data with zeros).

The time series forecasting framework for use with the 'tidymodels' ecosystem.
Models include ARIMA, Exponential Smoothing, and additional time series models
from the 'forecast' and 'prophet' packages. Refer to "Forecasting Principles & Practice, Second edition"
(<https://otexts.com/fpp2/>).
Refer to "Prophet: forecasting at scale"
(<https://research.facebook.com/blog/2017/02/prophet-forecasting-at-scale/>.).

Matt Dancho

modeltime

The Tidymodels Extension for Time Series Modeling

Business Science 

maape function

<dl><dt>data</dt>
<dd>A data frame containing the truth and estimate columns.</dd>
<dt>...</dt>
<dd>Additional arguments (not used).</dd>
<dt>truth</dt>
<dd>The column identifier for the true results (numeric).</dd>
<dt>estimate</dt>
<dd>The column identifier for the predicted results (numeric).</dd>
<dt>na_rm</dt>
<dd>Logical, whether to remove missing values before computation.</dd>
<dt>case_weights</dt>
<dd>Optional column identifier for non-negative case weights (not used by <code>maape</code>).</dd></dl>

Arguments

Mean Arctangent Absolute Percentage Error — maape

<dl>

<dt>data</dt>
<dd>A data frame containing the truth and estimate columns.</dd>


<dt>...</dt>
<dd>Additional arguments (not used).</dd>


<dt>truth</dt>
<dd>The column identifier for the true results (numeric).</dd>


<dt>estimate</dt>
<dd>The column identifier for the predicted results (numeric).</dd>


<dt>na_rm</dt>
<dd>Logical, whether to remove missing values before computation.</dd>


<dt>case_weights</dt>
<dd>Optional column identifier for non-negative case weights (not used by <code>maape</code>).</dd>

</dl>

maape: Mean Arctangent Absolute Percentage Error

Description

Usage

Value

Arguments