process_time

Ceiling, Floor and Other operations on a POSIXct object

A suite of auxiliary functions that enhance time series estimation and forecasting, including a robust anomaly detection routine based on Chen and Liu (1993) <doi:10.2307/2290724> (imported and wrapped from the 'tsoutliers' package), utilities for managing calendar and time conversions, performance metrics to assess both point forecasts and distributional predictions, advanced simulation by allowing the generation of time series components—such as trend, seasonal, ARMA, irregular, and anomalies—in a modular fashion based on the innovations form of the state space model and a number of transformation methods including Box-Cox, Logit, 'Softplus-Logit' and Sigmoid.

Alexios Ghalanos

tsaux

Time Series Forecasting Auxiliary Functions

Alexios Galanos

process_time function

<dl><dt>x</dt>
<dd>a POSIXct vector</dd>
<dt>second_precision</dt>
<dd>the precision in seconds on which the processing operates on</dd>
<dt>method</dt>
<dd>the method for processing</dd>
<dt>...</dt>
<dd>not used</dd></dl>

Arguments

Author

POSIXct Processing — process_time

<dl>

<dt>x</dt>
<dd>a POSIXct vector</dd>


<dt>second_precision</dt>
<dd>the precision in seconds on which the processing operates on</dd>


<dt>method</dt>
<dd>the method for processing</dd>


<dt>...</dt>
<dd>not used</dd>

</dl>

process_time: POSIXct Processing

Description

Usage

Value

Arguments

Author

Examples