| Name : R-cglasso
| |
| Version : 2.0.7
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.2.4
| Date : 2024-06-14 11:42:29
|
| Group : Development/Libraries/Other
| Source RPM : R-cglasso-2.0.7-lp153.2.4.src.rpm
|
| Size : 0.56 MB
| |
| Packager : (none)
| |
| Summary : Conditional Graphical LASSO for Gaussian Graphical Models with Censored and Missing Values
|
Description :
Conditional graphical lasso estimator is an extension of the graphical
lasso proposed to estimate the conditional dependence structure of a
set of p response variables given q predictors. This package provides
suitable extensions developed to study datasets with censored and/or
missing values. Standard conditional graphical lasso is available as a
special case. Furthermore, the package provides an integrated set of
core routines for visualization, analysis, and simulation of datasets
with censored and/or missing values drawn from a Gaussian graphical
model. Details about the implemented models can be found in Augugliaro
et al. (2023) < doi: 10.18637/jss.v105.i01>, Augugliaro et al. (2020b)
< doi: 10.1007/s11222-020-09945-7>, Augugliaro et al. (2020a) < doi:
10.1093/biostatistics/kxy043>, Yin et al. (2001) < doi:
10.1214/11-AOAS494> and Stadler et al. (2012) < doi:
10.1007/s11222-010-9219-7>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
