| Name : R-smoothic
| |
| Version : 1.2.0
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.5.2
| Date : 2024-06-14 12:10:19
|
| Group : Development/Libraries/Other
| Source RPM : R-smoothic-1.2.0-lp153.5.2.src.rpm
|
| Size : 0.37 MB
| |
| Packager : (none)
| |
| Summary : Variable Selection Using a Smooth Information Criterion
|
Description :
Implementation of the SIC epsilon-telescope method, either using single
or distributional (multiparameter) regression. Includes classical
regression with normally distributed errors and robust regression,
where the errors are from the Laplace distribution. The \"smooth
generalized normal distribution\" is used, where the estimation of an
additional shape parameter allows the user to move smoothly between
both types of regression. See O\'Neill and Burke (2022) \"Robust
Distributional Regression with Automatic Variable Selection\" for more
details. < arXiv:2212.07317>. This package also contains the data
analyses from O\'Neill and Burke (2023). \"Variable selection using a
smooth information criterion for distributional regression models\".
< doi:10.1007/s11222-023-10204-8>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
