| Name : R-TSEntropies
| |
| Version : 0.9
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:00:14
|
| Group : Development/Libraries/Other
| Source RPM : R-TSEntropies-0.9-lp153.2.13.src.rpm
|
| Size : 0.05 MB
| |
| Packager : (none)
| |
| Summary : Time Series Entropies
|
Description :
Computes various entropies of given time series. This is the initial
version that includes ApEn() and SampEn() functions for calculating
approximate entropy and sample entropy. Approximate entropy was
proposed by S.M. Pincus in \"Approximate entropy as a measure of system
complexity\", Proceedings of the National Academy of Sciences of the
United States of America, 88, 2297-2301 (March 1991). Sample entropy
was proposed by J. S. Richman and J. R. Moorman in \"Physiological
time-series analysis using approximate entropy and sample entropy\",
American Journal of Physiology, Heart and Circulatory Physiology, 278,
2039-2049 (June 2000). This package also contains FastApEn() and
FastSampEn() functions for calculating fast approximate entropy and
fast sample entropy. These are newly designed very fast algorithms,
resulting from the modification of the original algorithms. The
calculated values of these entropies are not the same as the original
ones, but the entropy trend of the analyzed time series determines
equally reliably. Their main advantage is their speed, which is up to a
thousand times higher. A scientific article describing their properties
has been submitted to The Journal of Supercomputing and in present time
it is waiting for the acceptance.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
