| Name : R-EGAnet
| |
| Version : 2.0.4
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.1.4
| Date : 2024-06-14 12:05:13
|
| Group : Development/Libraries/Other
| Source RPM : R-EGAnet-2.0.4-lp153.1.4.src.rpm
|
| Size : 2.51 MB
| |
| Packager : (none)
| |
| Summary : Exploratory Graph Analysis – a Framework for Estimating the Number of Dimensions in Multivariate Data using Network Psychometrics
|
Description :
Implements the Exploratory Graph Analysis (EGA) framework for
dimensionality and psychometric assessment. EGA estimates the number of
dimensions in psychological data using network estimation methods and
community detection algorithms. A bootstrap method is provided to
assess the stability of dimensions and items. Fit is evaluated using
the Entropy Fit family of indices. Unique Variable Analysis evaluates
the extent to which items are locally dependent (or redundant). Network
loadings provide similar information to factor loadings and can be used
to compute network scores. A bootstrap and permutation approach are
available to assess configural and metric invariance. Hierarchical
structures can be detected using Hierarchical EGA. Time series and
intensive longitudinal data can be analyzed using Dynamic EGA,
supporting individual, group, and population level assessments.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
