ot.carx: Detecting outliers in a 'carx' model.
In carx: Censored Autoregressive Model with Exogenous Covariates
Description
Usage
Arguments
Value
Description
This is an internal function. It tests for additional outlier one at a time, for each time point, as described in
Wang and Chan (2015), adjusted for multiplicity of testing. If the test result is significant, the function
augments the location of the most significant outlier to the vector of outlier indices,
i.e, the outlier.indices in the object returned by the function.
Usage
1
ot.carx(object)
Arguments
object
a carx object
Value
a possibly updated object which will have an attribute outlier.indices
denoting the indices of outliers with the new index of outlier appended, if any outlier is detected.
carx documentation built on May 2, 2019, 3:43 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value
Description
This is an internal function. It tests for additional outlier one at a time, for each time point, as described in
Wang and Chan (2015), adjusted for multiplicity of testing. If the test result is significant, the function
augments the location of the most significant outlier to the vector of outlier indices,
i.e, the outlier.indices in the object returned by the function.
Usage
1 | ot.carx(object)
|
Arguments
object |
a |
Value
a possibly updated object which will have an attribute outlier.indices
denoting the indices of outliers with the new index of outlier appended, if any outlier is detected.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.