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.
1.0.0: First public release (August 2016)
1.0.1: Minor modifications to enhance portability (September 2016)
1.1.0: Inclusion of the "mphase1" method based on forward and adaptive LASSO search (January 2017)
1.1.1: Minor modifications for making the package installable on Solaris (January 2017)