Phase I Control Charts (with Emphasis on Distribution-Free Methods)
Detection of a sustained change-point in univariate and multivariate d...
tools:::Rd_package_title("dfphase1")
Methods for objects of class mphase1
Distribution-free Phase I analysis of multivariate data
Multivariate Shewhart-type control charts
Plot of Phase 1 data
Distribution-Free Phase I Analysis of Univariate Data based on Recursi...
Univariate Shewhart-type control charts
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_1> for an introduction to the package.