CRAN
DTWUMI 1.0
Imputation of Multivariate Time Series Based on Dynamic Time Warping
Released Jul 13, 2018 by POISSON-CAILLAULT Emilie
Dependencies
entropy 1.2.1 dtw 1.20-1 e1071 1.7-0 rlist 0.4.6.1 lsa 0.73.1 DTWBI 1.1
Functions to impute large gaps within multivariate time series based on Dynamic Time Warping methods. Gaps of size 1 or inferior to a defined threshold are filled using simple average and weighted moving average respectively. Larger gaps are filled using the methodology provided by Phan et al. (2017)
Installation
Maven
This package can be included as a dependency from a Java or Scala project by including
the following your project's pom.xml
file.
Read more
about embedding Renjin in JVM-based projects.
<dependencies> <dependency> <groupId>org.renjin.cran</groupId> <artifactId>DTWUMI</artifactId> <version>1.0-b1</version> </dependency> </dependencies> <repositories> <repository> <id>bedatadriven</id> <name>bedatadriven public repo</name> <url>https://nexus.bedatadriven.com/content/groups/public/</url> </repository> </repositories>
Renjin CLI
If you're using Renjin from the command line, you load this library by invoking:
library('org.renjin.cran:DTWUMI')
Test Results
This package was last tested against Renjin 0.9.2657 on Aug 18, 2018.