| Name : R-lori
| |
| Version : 2.2.2
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.3.1
| Date : 2024-09-10 03:49:34
|
| Group : Development/Libraries/Other
| Source RPM : R-lori-2.2.2-lp156.3.1.src.rpm
|
| Size : 0.17 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Imputation of High-Dimensional Count Data using Side Information
|
Description :
Analysis, imputation, and multiple imputation of count data using
covariates. LORI uses a log-linear Poisson model where main row and
column effects, as well as effects of known covariates and interaction
terms can be fitted. The estimation procedure is based on the convex
optimization of the Poisson loss penalized by a Lasso type penalty and
a nuclear norm. LORI returns estimates of main effects, covariate
effects and interactions, as well as an imputed count table. The
package also contains a multiple imputation procedure. The methods are
described in Robin, Josse, Moulines and Sardy (2019)
< arXiv:1703.02296v4>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
