| Name : R-SpTe2M
| |
| Version : 1.0.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.5.2
| Date : 2024-06-14 11:51:52
|
| Group : Development/Libraries/Other
| Source RPM : R-SpTe2M-1.0.3-lp153.5.2.src.rpm
|
| Size : 1.72 MB
| |
| Packager : (none)
| |
| Summary : Nonparametric Modeling and Monitoring of Spatio-Temporal Data
|
Description :
Spatio-temporal data have become increasingly popular in many research
fields. Such data often have complex structures that are difficult to
describe and estimate. This package provides reliable tools for
modeling complicated spatio-temporal data. It also includes tools of
online process monitoring to detect possible change-points in a
spatio-temporal process over time. More specifically, the package
implements the spatio-temporal mean estimation procedure described in
Yang and Qiu (2018) < doi:10.1002/sim.7622>, the spatio-temporal
covariance estimation procedure discussed in Yang and Qiu (2019)
< doi:10.1002/sim.8315>, the three-step method for the joint estimation
of spatio-temporal mean and covariance functions suggested by Yang and
Qiu (2022) < doi:10.1007/s10463-021-00787-2>, the spatio-temporal
disease surveillance method discussed in Qiu and Yang (2021)
< doi:10.1002/sim.9150> that can accommodate the covariate effect, the
spatial-LASSO-based process monitoring method proposed by Qiu and Yang
(2023) < doi:10.1080/00224065.2022.2081104>, and the online
spatio-temporal disease surveillance method described in Yang and Qiu
(2020) < doi:10.1080/24725854.2019.1696496>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
