| Name : R-glmmPen
| |
| Version : 1.5.4.8
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.1
| Date : 2024-09-18 03:51:57
|
| Group : Development/Libraries/Other
| Source RPM : R-glmmPen-1.5.4.8-lp153.1.1.src.rpm
|
| Size : 4.54 MB
| |
| Packager : (none)
| |
| Summary : High Dimensional Penalized Generalized Linear Mixed Models (pGLMM)
|
Description :
Fits high dimensional penalized generalized linear mixed models using
the Monte Carlo Expectation Conditional Minimization (MCECM) algorithm.
The purpose of the package is to perform variable selection on both the
fixed and random effects simultaneously for generalized linear mixed
models. The package supports fitting of Binomial, Gaussian, and Poisson
data with canonical links, and supports penalization using the MCP,
SCAD, or LASSO penalties. The MCECM algorithm is described in Rashid et
al. (2020) < doi:10.1080/01621459.2019.1671197>. The techniques used in
the minimization portion of the procedure (the M-step) are derived from
the procedures of the \'ncvreg\' package (Breheny and Huang (2011)
< doi:10.1214/10-AOAS388>) and \'grpreg\' package (Breheny and Huang
(2015) < doi:10.1007/s11222-013-9424-2>), with appropriate modifications
to account for the estimation and penalization of the random effects.
The \'ncvreg\' and \'grpreg\' packages also describe the MCP, SCAD, and
LASSO penalties.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
