| Name : R-sparseSEM
| |
| Version : 4.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.5
| Date : 2024-06-14 11:13:13
|
| Group : Development/Libraries/Other
| Source RPM : R-sparseSEM-4.0-lp153.1.5.src.rpm
|
| Size : 2.04 MB
| |
| Packager : (none)
| |
| Summary : Elastic Net Penalized Maximum Likelihood for Structural Equation Models with Network GPT Framework
|
Description :
Provides elastic net penalized maximum likelihood estimator for
structural equation models (SEM). The package implements `lasso` and
`elastic net` (l1/l2) penalized SEM and estimates the model parameters
with an efficient block coordinate ascent algorithm that maximizes the
penalized likelihood of the SEM. Hyperparameters are inferred from
cross-validation (CV). A Stability Selection (STS) function is also
available to provide accurate causal effect selection. The software
achieves high accuracy performance through a `Network Generative
Pre-trained Transformer` (Network GPT) Framework with two steps: 1)
pre-trains the model to generate a complete (fully connected) graph;
and 2) uses the complete graph as the initial state to fit the `elastic
net` penalized SEM.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
