Published November 20, 2020
| Version v3.1.1
Software
Open
JuliaStats/MixedModels.jl: v3.1.1
Creators
- Douglas Bates1
- Phillip Alday2
- Dave Kleinschmidt3
- José Bayoán Santiago Calderón4
- Likan Zhan5
- Andreas Noack6
- Alex Arslan2
- Milan Bouchet-Valat7
- Tony Kelman
- Antoine Baldassari8
- Benedikt Ehinger
- Daniel Karrasch9
- Elliot Saba10
- Michael Hatherly
- Morten Piibeleht11
- Patrick Kofod Mogensen6
- Simon Babayan12
- Yakir Luc Gagnon13
- 1. University of Wisconsin
- 2. Beacon Biosignals
- 3. Rutgers University
- 4. University of Virginia
- 5. Beijing Language and Culture University
- 6. @JuliaComputing
- 7. Franch Institute for Demographic Studies (Ined)
- 8. UNC Epidemiology
- 9. Technische Universität München
- 10. Julia Computing
- 11. Massey University
- 12. University of Glasgow
- 13. Duke University
Description
MixedModels v3.1.1
Closed issues:
- Arrow.jl is tagging 1.0 (#434)
Merged pull requests:
- Update benchmarks to TestData. (#416) (@dmbates)
- Better loglikelihood for GLMM (#419) (@palday)
- Check BLAS vendor, fix test warning, rephrase warn (#428) (@dmbates)
- MixedModel.datasets() --> MixedModels.datasets() (#429) (@likanzhan)
- loosen floating point equality constraint (#430) (@palday)
- Swap adjoint and triangular wrappers (#431) (@dkarrasch)
- Force BlasInt type for piv (#432) (@dmbates)
- CI using MKL (#433) (@palday)
- CompatHelper: bump compat for "BlockArrays" to "0.13" (#435) (@github-actions[bot])
- categorical! no longer in DataFrames 0.22 (#436) (@dmbates)
- Add in Arrow 1.0 compatibility (#437) (@palday)
- Add back in the Arrow compat entry (#438) (@palday)
Files
JuliaStats/MixedModels.jl-v3.1.1.zip
Files
(222.9 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:7ef0bb730e1f2be7c917d4cec209ca1c
|
222.9 kB | Preview Download |
Additional details
Related works
- Is supplement to
- https://github.com/JuliaStats/MixedModels.jl/tree/v3.1.1 (URL)