| Name : R-anomalize
| |
| Version : 0.2.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp154.1.1
| Date : 2023-02-11 01:11:41
|
| Group : Development/Libraries/Other
| Source RPM : R-anomalize-0.2.3-lp154.1.1.src.rpm
|
| Size : 3.59 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Tidy Anomaly Detection
|
Description :
The \'anomalize\' package enables a \"tidy\" workflow for detecting
anomalies in data. The main functions are time_decompose(),
anomalize(), and time_recompose(). When combined, it\'s quite simple to
decompose time series, detect anomalies, and create bands separating
the \"normal\" data from the anomalous data at scale (i.e. for multiple
time series). Time series decomposition is used to remove trend and
seasonal components via the time_decompose() function and methods
include seasonal decomposition of time series by Loess (\"stl\") and
seasonal decomposition by piecewise medians (\"twitter\"). The
anomalize() function implements two methods for anomaly detection of
residuals including using an inner quartile range (\"iqr\") and
generalized extreme studentized deviation (\"gesd\"). These methods are
based on those used in the \'forecast\' package and the Twitter
\'AnomalyDetection\' package. Refer to the associated functions for
specific references for these methods.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
