| Name : R-glamlasso
| |
| Version : 3.0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.2.15
| Date : 2024-09-12 10:43:28
|
| Group : Development/Libraries/Other
| Source RPM : R-glamlasso-3.0.1-lp153.2.15.src.rpm
|
| Size : 0.74 MB
| |
| Packager : (none)
| |
| Summary : Penalization in Large Scale Generalized Linear Array Models
|
Description :
Efficient design matrix free lasso penalized estimation in large scale
2 and 3-dimensional generalized linear array model framework. The
procedure is based on the gdpg algorithm from Lund et al. (2017)
< doi:10.1080/10618600.2017.1279548>. Currently Lasso or Smoothly
Clipped Absolute Deviation (SCAD) penalized estimation is possible for
the following models: The Gaussian model with identity link, the
Binomial model with logit link, the Poisson model with log link and the
Gamma model with log link. It is also possible to include a component
in the model with non-tensor design e.g an intercept. Also provided are
functions, glamlassoRR() and glamlassoS(), fitting special cases of
GLAMs.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
