as.CausalImpact

Any R object that should be coerced to a <code>CausalImpact</code>
 object.

Optional additional arguments (not currently used).

Method for coercing objects to class <code>CausalImpact</code>.
This function serves as a template to implement S3 methods for coercing other
 objects to <code>CausalImpact</code> objects in other packages. The function itself
 just dispatches a call to the appropriate S3 method.

Implements a Bayesian approach to causal impact estimation in time
series, as described in Brodersen et al. (2015) <DOI:10.1214/14-AOAS788>.
See the package documentation on GitHub
<https://google.github.io/CausalImpact/> to get started.

Alain Hauser

CausalImpact

Inferring Causal Effects using Bayesian Structural Time-Series
Models

as.CausalImpact function

<dl> <dt>x</dt>
<dd>Any R object that should be coerced to a <code>CausalImpact</code>
 object.</dd> <dt>...</dt>
<dd>Optional additional arguments (not currently used).</dd></dl>

Arguments

Kay H. Brodersen <a href="/link/kbrodersen%40google.com?package=CausalImpact&version=1.2.7" data-mini-rdoc="CausalImpact::kbrodersen@google.com">kbrodersen@google.com</a>

Author

Coercion to a CausalImpact object — as.CausalImpact

<dl>

 <dt>x</dt>
<dd>Any R object that should be coerced to a <code>CausalImpact</code>
 object.</dd>

 <dt>...</dt>
<dd>Optional additional arguments (not currently used).</dd>

</dl>

Kay H. Brodersen <a href='mailto:kbrodersen@google.com'>kbrodersen@google.com</a>

as.CausalImpact: Coercion to a `CausalImpact` object

Description

Usage

Arguments

Author