Statistical methods for retrospectively detecting changes in location and/or dispersion of univariate and multivariate variables. Data values are assumed to be independent, can be individual (one observation at each instant of time) or subgrouped (more than one observation at each instant of time). Control limits are computed, often using a permutation approach, so that a prescribed false alarm probability is guaranteed without making any parametric assumptions on the stable (in-control) distribution. See G. Capizzi and G. Masarotto (2018) <doi:10.1007/978-3-319-75295-2> for an introduction to the package.
|Author||Giovanna Capizzi and Guido Masarotto|
|Maintainer||Giovanna Capizzi <email@example.com>|
|License||LGPL (>= 2)|
|Package repository||View on CRAN|
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