| Name : R-HDcpDetect
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:02:42
|
| Group : Development/Libraries/Other
| Source RPM : R-HDcpDetect-0.1.0-lp153.2.13.src.rpm
|
| Size : 2.34 MB
| |
| Packager : (none)
| |
| Summary : Detect Change Points in Means of High Dimensional Data
|
Description :
Objective: Implement new methods for detecting change points in
high-dimensional time series data. These new methods can be applied to
non-Gaussian data, account for spatial and temporal dependence, and
detect a wide variety of change-point configurations, including changes
near the boundary and changes in close proximity. Additionally, this
package helps address the “small n, large p” problem, which occurs in
many research contexts. This problem arises when a dataset contains
changes that are visually evident but do not rise to the level of
statistical significance due to the small number of observations and
large number of parameters. The problem is overcome by treating the
dimensions as a whole and scaling the test statistics only by its
standard deviation, rather than scaling each dimension individually.
Due to the computational complexity of the functions, the package runs
best on datasets with a relatively large number of attributes but no
more than a few hundred observations.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
