poLCA 1.4.1-foss-2019b-R-3.6.2Latent class analysis and latent class regression models for polytomous outcome variables. Also known as latent structure analysis.
Accessing poLCA 1.4.1-foss-2019b-R-3.6.2
To load the module for poLCA 1.4.1-foss-2019b-R-3.6.2 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):
module load poLCA/1.4.1-foss-2019b-R-3.6.2
BEAR Apps Version
The listed architectures consist of two part: OS-CPU.
- BlueBEAR: The OS used on BlueBEAR is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.
- BEAR Cloud and CaStLeS VMs: These VMs can have one of two OSes. Those with access to a BEAR Cloud or CaStLeS VM should check that the listed architectures for an application include the OS of VM being used. The VMs, irrespective of OS, will use the haswell CPU type.
- poLCA 1.4.1
For more information visit the poLCA website.
Last modified on 20th February 2020