summary.tsdistribution.profile

Summary method for class &#8220;tsdistribution.profile&#8221;

Location-Scale based distributions parameterized in terms of mean, standard deviation, skew and shape parameters and estimation using automatic differentiation. Distributions include the Normal, Student and GED as well as their skewed variants ('Fernandez and Steel'), the 'Johnson SU', and the Generalized Hyperbolic. Also included is the semi-parametric piece wise distribution ('spd') with Pareto tails and kernel interior.

Alexios Ghalanos

tsdistributions

Location Scale Standardized Distributions

Alexios Galanos

summary.tsdistribution.profile function

<dl><dt>object</dt>
<dd>an object of class &#8220;tsdistribution.profile&#8221;.</dd>
<dt>digits</dt>
<dd>integer, used for number formatting. Optionally, to avoid
scientific notation, set &#8216;options(scipen=999)&#8217;.</dd>
<dt>measure</dt>
<dd>either one of the 3 included measure in the summary slot of
the returned object &#8220;RMSE&#8221;, &#8220;MAE&#8221; or &#8220;MAPE&#8221;, else any
other user calculated measure which has been generated in the summary table
post processing.</dd>
<dt>...</dt>
<dd>not currently used.</dd></dl>

Arguments

Distribution Profile Summary — summary.tsdistribution.profile

<dl>

<dt>object</dt>
<dd>an object of class &#8220;tsdistribution.profile&#8221;.</dd>


<dt>digits</dt>
<dd>integer, used for number formatting. Optionally, to avoid
scientific notation, set &#8216;options(scipen=999)&#8217;.</dd>


<dt>measure</dt>
<dd>either one of the 3 included measure in the summary slot of
the returned object &#8220;RMSE&#8221;, &#8220;MAE&#8221; or &#8220;MAPE&#8221;, else any
other user calculated measure which has been generated in the summary table
post processing.</dd>


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

</dl>

summary.tsdistribution.profile: Distribution Profile Summary

Description

Usage

Value

Arguments