Package: DySS 1.0

Lu You

DySS: Dynamic Screening Systems

In practice, we will encounter problems where the longitudinal performance of processes needs to be monitored over time. Dynamic screening systems (DySS) are methods that aim to identify and give signals to processes with poor performance as early as possible. This package is designed to implement dynamic screening systems and the related methods. References: Qiu, P. and Xiang, D. (2014) <doi:10.1080/00401706.2013.822423>; Qiu, P. and Xiang, D. (2015) <doi:10.1002/sim.6477>; Li, J. and Qiu, P. (2016) <doi:10.1080/0740817X.2016.1146423>; Li, J. and Qiu, P. (2017) <doi:10.1002/qre.2160>; You, L. and Qiu, P. (2019) <doi:10.1080/00949655.2018.1552273>; Qiu, P., Xia, Z., and You, L. (2020) <doi:10.1080/00401706.2019.1604434>; You, L., Qiu, A., Huang, B., and Qiu, P. (2020) <doi:10.1002/bimj.201900127>; You, L. and Qiu, P. (2021) <doi:10.1080/00224065.2020.1767006>.

Authors:Lu You [aut, cre], Peihua Qiu [aut]

DySS_1.0.tar.gz
DySS_1.0.tar.gz(r-4.5-noble)DySS_1.0.tar.gz(r-4.4-noble)
DySS.pdf |DySS.html
DySS/json (API)

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

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • fortran– Runtime library for GNU Fortran applications
  • c++– GNU Standard C++ Library v3
Datasets:

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

2.00 score 6 scripts 138 downloads 13 exports 31 dependencies

Last updated 2 years agofrom:ec46b3c638. Checks:OK: 1 NOTE: 1. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 18 2024
R-4.5-linux-x86_64NOTEOct 18 2024

Exports:calculate_ATScalculate_signal_timesestimate_pattern_long_1destimate_pattern_long_mdestimate_pattern_long_survevaluate_control_chart_one_groupevaluate_control_chart_two_groupsmonitor_long_1dmonitor_long_mdmonitor_long_survplot_evaluationplot_PMROCsearch_CL

Dependencies:clicolorspacefansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadillorlangscalestibbleutf8vctrsviridisLitewithr

A Guide to R Package DySS

Rendered fromDySS.Rmdusingknitr::rmarkdownon Oct 18 2024.

Last update: 2022-07-16
Started: 2022-07-16