summary.csFSS

Summarizes a <code>csFSS</code> object.

Contains functions that can determine whether a time series
is second-order stationary or not (and hence evidence for
locally stationarity). Given two non-stationary series (i.e.
locally stationary series) this package can then discover
time-varying linear combinations that are second-order stationary.
Cardinali, A. and Nason, G.P. (2013)
<doi:10.18637/jss.v055.i01>.

Guy Nason

costat

Time Series Costationarity Determination

Alessandro Cardinali

summary.csFSS function

<dl> <dt>object</dt>
<dd>Object you wish to summarize.</dd> <dt>size</dt>
<dd>A hypothesis test size. The <code>csFSS</code> object contains a
	number of p-values, this argument controls what is considered
	significant (but not corrected for multiple tests)</dd> <dt>...</dt>
<dd>Other arguments</dd></dl>

Arguments

Author

Summarize a csFSS object. — summary.csFSS

<dl>

 <dt>object</dt>
<dd>Object you wish to summarize.</dd>

 <dt>size</dt>
<dd>A hypothesis test size. The <code>csFSS</code> object contains a
	number of p-values, this argument controls what is considered
	significant (but not corrected for multiple tests)</dd>

 <dt>...</dt>
<dd>Other arguments</dd>

</dl>

summary.csFSS: Summarize a `csFSS` object.

Description

Usage

Value

Arguments

Author

References

See Also

Examples