| Name : R-TRES
| |
| Version : 1.1.5
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.7
| Date : 2024-06-14 11:16:32
|
| Group : Development/Libraries/Other
| Source RPM : R-TRES-1.1.5-lp153.2.7.src.rpm
|
| Size : 4.14 MB
| |
| Packager : (none)
| |
| Summary : Tensor Regression with Envelope Structure
|
Description :
Provides three estimators for tensor response regression (TRR) and
tensor predictor regression (TPR) models with tensor envelope
structure. The three types of estimation approaches are generic and can
be applied to any envelope estimation problems. The full Grassmannian
(FG) optimization is often associated with likelihood-based estimation
but requires heavy computation and good initialization; the
one-directional optimization approaches (1D and ECD algorithms) are
faster, stable and does not require carefully chosen initial values;
the SIMPLS-type is motivated by the partial least squares regression
and is computationally the least expensive. For details of TRR, see Li
L, Zhang X (2017) < doi:10.1080/01621459.2016.1193022>. For details of
TPR, see Zhang X, Li L (2017) < doi:10.1080/00401706.2016.1272495>. For
details of 1D algorithm, see Cook RD, Zhang X (2016)
< doi:10.1080/10618600.2015.1029577>. For details of ECD algorithm, see
Cook RD, Zhang X (2018) < doi:10.5705/ss.202016.0037>. For more details
of the package, see Zeng J, Wang W, Zhang X (2021)
< doi:10.18637/jss.v099.i12>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
