| Name : R-plsmmLasso
| |
| Version : 1.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp154.1.1
| Date : 2024-06-08 12:45:23
|
| Group : Development/Libraries/Other
| Source RPM : R-plsmmLasso-1.1.0-lp154.1.1.src.rpm
|
| Size : 0.71 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Variable Selection and Inference for Partial Semiparametric Linear Mixed-Effects Model
|
Description :
Implements a partial linear semiparametric mixed-effects model (PLSMM)
featuring a random intercept and applies a lasso penalty to both the
fixed effects and the coefficients associated with the nonlinear
function. The model also accommodates interactions between the
nonlinear function and a grouping variable, allowing for the capture of
group-specific nonlinearities. Nonlinear functions are modeled using a
set of bases functions. Estimation is conducted using a penalized
Expectation-Maximization algorithm, and the package offers flexibility
in choosing between various information criteria for model selection.
Post-selection inference is carried out using a debiasing method, while
inference on the nonlinear functions employs a bootstrap approach.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
