| Name : R-SEset
| |
| Version : 1.0.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.10
| Date : 2024-06-14 11:25:32
|
| Group : Development/Libraries/Other
| Source RPM : R-SEset-1.0.1-lp153.1.10.src.rpm
|
| Size : 0.10 MB
| |
| Packager : (none)
| |
| Summary : Computing Statistically-Equivalent Path Models
|
Description :
Tools to compute and analyze the set of statistically-equivalent
(Gaussian, linear) path models which generate the input precision or
(partial) correlation matrix. This procedure is useful for
understanding how statistical network models such as the Gaussian
Graphical Model (GGM) perform as causal discovery tools. The
statistical-equivalence set of a given GGM expresses the uncertainty we
have about the sign, size and direction of directed relationships based
on the weights matrix of the GGM alone. The derivation of the
equivalence set and its use for understanding GGMs as causal discovery
tools is described by Ryan, O., Bringmann, L.F., & Schuurman, N.K.
(2022) < doi: 10.31234/osf.io/ryg69>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
