Package: MSPRT
Type: Package
Title: A Modified Sequential Probability Ratio Test (MSPRT)
Version: 3.0
Date: 2020-11-11
Authors@R: c(person("Sandipan", "Pramanik", email = "sandy.pramanik@gmail.com",
role = c("aut", "cre")),
person("Valen E.", "Johnson", role = "aut"),
person("Anirban", "Bhattacharya", role = "aut") )
Author: Sandipan Pramanik [aut, cre],
Valen E. Johnson [aut],
Anirban Bhattacharya [aut]
Maintainer: Sandipan Pramanik <sandy.pramanik@gmail.com>
Description: Given the maximum available sample size (N) for an experiment, and the target levels of Type I
and II error probabilities, this package designs a modified SPRT (MSPRT). For any designed MSPRT
the package can also obtain its operating characteristics and implement the test for a given
sequentially observed data. The MSPRT is defined in a manner very similar to Wald's initial proposal.
The proposed test has shown evidence of reducing the average sample size required to perform
statistical hypothesis tests at specified levels of significance and power. Currently, the package
implements one-sample proportion tests, one and two-sample z tests, and one and two-sample
t tests. A brief user guidance for this package is provided below. One can also refer to the
supplemental information for the same.
Imports: nleqslv, ggplot2, ggpubr, foreach, iterators, parallel,
doParallel, datasets, graphics, grDevices, methods, stats,
utils
License: GPL (>= 2)
NeedsCompilation: no
Packaged: 2020-11-13 01:08:33 UTC; sandipanpramanik
Repository: CRAN
Date/Publication: 2020-11-13 10:20:05 UTC

Title: Multivariate Statistical Quality Control
Description: This package is a toolkit for multivariate process
monitoring. It contains the main alternatives of multivariate
control chart such as: Hotelling, Chi squared, MEWMA, MCUSUM
and Generelized Variance control chart. Also, it includes some
tools for assessing multivariate normality like: Mardia,
Royston and Henze Zirkler test and the univariate D'Agostino
test. Moreover, it possess ten didactic datasets.

Description: This package is a toolkit for multivariate process monitoring. It contains the main alternatives of multivariate control chart such as: Hotelling, Chi squared, MEWMA, MCUSUM and Generelized Variance control chart. Also, it includes some tools for assessing multivariate normality like: Mardia, Royston and Henze Zirkler test and the univariate D'Agostino test. Moreover, it possess ten didactic datasets.