initialise_df_pic

Initialises a dataframe which will contain the PIC for each configuration and for each value of C.

Robust Clustering of Time Series (RCTS) has the functionality to cluster time series using both the classical and the robust interactive fixed effects framework.
The classical framework is developed in Ando & Bai (2017) <doi:10.1080/01621459.2016.1195743>. The implementation within this package excludes the SCAD-penalty on the estimations of beta.
This robust framework is developed in Boudt & Heyndels (2022) <doi:10.1016/j.ecosta.2022.01.002> and is made robust against different kinds of outliers.
The algorithm iteratively updates beta (the coefficients of the observable variables), group membership, and the latent factors (which can be common and/or group-specific) along
with their loadings. The number of groups and factors can be estimated if they are unknown.

Ewoud Heyndels

RCTS

Clustering Time Series While Resisting Outliers

initialise_df_pic function

<dl><dt>C_candidates</dt>
<dd>candidates for C (parameter in PIC)</dd></dl>

Arguments

Initialises a dataframe which will contain the PIC for each configuration and for each value of C. — initialise_df_pic

<dl>

<dt>C_candidates</dt>
<dd>candidates for C (parameter in PIC)</dd>

</dl>

initialise_df_pic: Initialises a dataframe which will contain the PIC for each configuration and for each value of C.

Description

Usage

Value

Arguments

Examples