VGAM 1.1-3-foss-2019b-R-3.6.2An implementation of about 6 major classes of statistical regression models. The central algorithm is Fisher scoring and iterative reweighted least squares. At the heart of this package are the vector generalized linear and additive model (VGLM/VGAM) classes. VGLMs can be loosely thought of as multivariate GLMs. VGAMs are data-driven VGLMs that use smoothing.
Accessing VGAM 1.1-3-foss-2019b-R-3.6.2
To load the module for VGAM 1.1-3-foss-2019b-R-3.6.2 please use this command on the BEAR systems (BlueBEAR, BEARCloud VMs, and CaStLeS VMs):
module load VGAM/1.1-3-foss-2019b-R-3.6.2
BEAR Apps Version
For more information visit the VGAM website.
This version of VGAM has a direct dependency on: foss/2019b R/3.6.2-foss-2019b
Last modified on 21st September 2020