mnspc: Multivariate Nonparametric Statistical Process Control
Statistical process control for multivariate data that is
not necessarily Gaussian distributed. A function is provided to
categorize components of multivariate response vectors. Tools
for setting up a CUSUM procedure for the transformed data are
included. The CUSUM scheme can also be applied to the case when
some (or all) of the multivariate response components are
binary-categorical.
| Version: |
1.01 |
| Depends: |
R (≥ 2.6.0) |
| Published: |
2011-04-24 |
| Author: |
Martin Bezener and Peihua Qiu |
| Maintainer: |
Martin Bezener <bezener at stat.umn.edu> |
| License: |
X11 |
| CRAN checks: |
mnspc results |
Downloads: