There is a newer version of the record available.

Published October 27, 2021 | Version v0.7.7
Software Open

ejolly/pymer4: v0.7.7

Creators

  • 1. Universtity of California, San Diego
  • 2. Dartmouth College

Description

  • This version is identical to 0.7.6 but supports R >= 4.1
  • Installation is also more flexible and includes instructions for using conda-forge and optimized libraries (MKL) for Intel CPUs
  • Default installations via conda-forge will use openblas instead of mkl

Files

ejolly/pymer4-v0.7.7.zip

Files (1.8 MB)

Name Size Download all
md5:a07eedce8ba7529fc154029934cadbb2
1.8 MB Preview Download

Additional details

Related works

Is supplement to
https://github.com/ejolly/pymer4/tree/v0.7.7 (URL)