CRAN/E | SNSchart

SNSchart

Sequential Normal Scores in Statistical Process Management

Installation

About

The methods discussed in this package are new non-parametric methods based on sequential normal scores 'SNS' (Conover et al (2017) doi:10.1080/07474946.2017.1360091), designed for sequences of observations, usually time series data, which may occur singly or in batches, and may be univariate or multivariate. These methods are designed to detect changes in the process, which may occur as changes in location (mean or median), changes in scale (standard deviation, or variance), or other changes of interest in the distribution of the observations, over the time observed. They usually apply to large data sets, so computations need to be simple enough to be done in a reasonable time on a computer, and easily updated as each new observation (or batch of observations) becomes available. Some examples and more detail in 'SNS' is presented in the work by Conover et al (2019) .

Key Metrics

Version 1.4.0
R ≥ 2.10
Published 2021-04-07 1168 days ago
Needs compilation? no
License MIT
License File
CRAN checks SNSchart results

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Maintainer

Maintainer

Luis Benavides

Authors

Victor Tercero

aut

Luis Benavides

aut / cre

Jorge Merlo

ctb

Material

README
Reference manual
Package source

Vignettes

SNSchart Package

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 2.10

Imports

parallel
stats
MASS

Suggests

testthat
knitr
rmarkdown