test.plot

Visulization of Simultaneous Confidence Region(SCR) for test result

We provide functions for estimation and inference of nonlinear and non-stationary time series regression using the sieve methods and bootstrapping procedure.

Xiucai Ding

SIMle

Estimation and Inference for General Time Series Regression

Chen Qian

test.plot function

<dl><dt>df</dt>
<dd>the result of test (estimated function under null and Simultaneous Confidence Region (SCR) )</dd>
<dt>type</dt>
<dd>specify type of test, "homot" represents time-homogeneity test. "separa" is separability test</dd>
<dt>ops</dt>
<dd>select type of estimation."nfix" refers to no fix estimation. "fixt" indicates fix time t estimation.
"fixx" represents fix variate estimation</dd>
<dt>title</dt>
<dd>give the title for plot</dd>
<dt>lower</dt>
<dd>give the lower bound for scale limits, the default is -1.3</dd>
<dt>upper</dt>
<dd>give the upper bound for scale limits, the default is 1.3</dd></dl>

Arguments

Visulization of Simultaneous Confidence Region(SCR) for test result — test.plot

<dl>

<dt>df</dt>
<dd>the result of test (estimated function under null and Simultaneous Confidence Region (SCR) )</dd>


<dt>type</dt>
<dd>specify type of test, "homot" represents time-homogeneity test. "separa" is separability test</dd>


<dt>ops</dt>
<dd>select type of estimation."nfix" refers to no fix estimation. "fixt" indicates fix time t estimation.
"fixx" represents fix variate estimation</dd>


<dt>title</dt>
<dd>give the title for plot</dd>


<dt>lower</dt>
<dd>give the lower bound for scale limits, the default is -1.3</dd>


<dt>upper</dt>
<dd>give the upper bound for scale limits, the default is 1.3</dd>

</dl>

test.plot: Visulization of Simultaneous Confidence Region(SCR) for test result

Description

Usage

Value

Arguments