| Name : R-mtsdi
| |
| Version : 0.3.5
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.13
| Date : 2024-06-14 11:07:11
|
| Group : Development/Libraries/Other
| Source RPM : R-mtsdi-0.3.5-lp153.2.13.src.rpm
|
| Size : 0.09 MB
| |
| Packager : (none)
| |
| Summary : Multivariate Time Series Data Imputation
|
Description :
This is an EM algorithm based method for imputation of missing values
in multivariate normal time series. The imputation algorithm accounts
for both spatial and temporal correlation structures. Temporal patterns
can be modeled using an ARIMA(p,d,q), optionally with seasonal
components, a non-parametric cubic spline or generalized additive
models with exogenous covariates. This algorithm is specially tailored
for climate data with missing measurements from several monitors along
a given region.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
