Package: dvqcc 0.1.0

Danilo Marcondes Filho

dvqcc: Dynamic VAR - Based Control Charts for Batch Process Monitoring

A set of control charts for batch processes based on the VAR model. The package contains the implementation of T2.var and W.var control charts based on VAR model coefficients using the couple vectors theory. In each time-instant the VAR coefficients are estimated from a historical in-control dataset and a decision rule is made for online classifying of a new batch data. Those charts allow efficient online monitoring since the very first time-instant. The offline version is available too. In order to evaluate the chart's performance, this package contains functions to generate batch data for offline and online monitoring.See in Danilo Marcondes Filho and Marcio Valk (2020) <doi:10.1016/j.ejor.2019.12.038>.

Authors:Márcio Valk [aut], Danilo Marcondes Filho [aut, cre], Gabriela Cybis [aut]

dvqcc_0.1.0.tar.gz
dvqcc_0.1.0.tar.gz(r-4.5-noble)dvqcc_0.1.0.tar.gz(r-4.4-noble)
dvqcc_0.1.0.tgz(r-4.4-emscripten)dvqcc_0.1.0.tgz(r-4.3-emscripten)
dvqcc.pdf |dvqcc.html
dvqcc/json (API)

# Install 'dvqcc' in R:
install.packages('dvqcc', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.70 score 138 downloads 4 exports 55 dependencies

Last updated 5 years agofrom:7efcc2a691. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 27 2024
R-4.5-linuxOKNov 27 2024

Exports:offlinemonlinemsimoffsimon

Dependencies:clicodetoolscolorspacecurldeSolvefansifarverforeachforecastfracdiffgenericsggplot2gluegtableisobanditeratorsjsonlitelabelinglatticelifecyclelmtestmagrittrMASSMatrixmgcvmnormtmunsellnlmennetpillarpkgconfigquadprogquantmodR6RColorBrewerRcppRcppArmadillorlangsandwichscalesstrucchangetibbletimeDatetsDyntseriestseriesChaosTTRurcautf8varsvctrsviridisLitewithrxtszoo