glm-tools / pyglmnet

Python implementation of elastic-net regularized generalized linear models
http://glm-tools.github.io/pyglmnet/
MIT License
279 stars 83 forks source link

preparation for JOSS paper #297

Closed jasmainak closed 4 years ago

jasmainak commented 5 years ago

Hi everyone,

@pavanramkumar and myself have in the past discussed about writing a JOSS paper for pyglmnet.

JOSS articles generally provide a very high level description of the software and its relevance:

Your submission should probably be somewhere between 250-1000 words.

It would allow us to properly point to pyglmnet in citations and get some scholarly recognition for our work.

For this to reach fruition, we need to (checklist will be updated):

cc @the872 @themantalope @daniel-acuna @marquesVF @tommyod @ravigarg27 @hugoguh @BeibinLi @peterfoley605 @geektoni @cxrodgers @evadyer

and of course @koerding and @mshamalainen.

If you have any thoughts / objections, now is the time to voice them. Otherwise, we'll make this happen in the next couple of months.

koerding commented 5 years ago

Love the idea

On Tue, May 21, 2019, 5:39 PM Mainak Jas notifications@github.com wrote:

Hi everyone,

@pavanramkumar https://github.com/pavanramkumar and myself have in the past discussed about writing a JOSS paper for pyglmnet.

JOSS articles generally provide a very high level description of the software and its relevance:

Your submission should probably be somewhere between 250-1000 words.

It would allow us to properly point to pyglmnet in citations and get some scholarly recognition for our work.

For this to reach fruition, we need to (checklist will be updated):

cc @the872 https://github.com/the872 @themantalope https://github.com/themantalope @daniel-acuna https://github.com/daniel-acuna @marquesVF https://github.com/marquesVF @tommyod https://github.com/tommyod @ravigarg27 https://github.com/ravigarg27 @hugoguh https://github.com/hugoguh @BeibinLi https://github.com/BeibinLi @peterfoley605 https://github.com/peterfoley605 @geektoni https://github.com/geektoni @cxrodgers https://github.com/cxrodgers @evadyer https://github.com/evadyer

and of course @koerding https://github.com/koerding and @mshamalainen https://github.com/mshamalainen.

If you have any thoughts / objections, now is the time to voice them. Otherwise, we'll make this happen in the next couple of months.

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub https://github.com/glm-tools/pyglmnet/issues/297?email_source=notifications&email_token=AA2XUNO3HG3NLAF5TZMYBBLPWRTXNA5CNFSM4HOO55CKYY3PNVWWK3TUL52HS4DFUVEXG43VMWVGG33NNVSW45C7NFSM4GVCGMWA, or mute the thread https://github.com/notifications/unsubscribe-auth/AA2XUNOUDYZV2BKKHM7JLSTPWRTXNANCNFSM4HOO55CA .

tommyod commented 5 years ago

Great initiative, thanks for cc'ing me. :+1: I can spare a few hours here and there over the next months, so if you want some help reviewing the software/docs/paper feel free to CC me on a PR/Issue. It's nice to work towards something concrete.

geektoni commented 5 years ago

Great idea! I will be glad to participate. Thanks for notifying me :+1:

DreHar commented 4 years ago

Fantastic; let me know if you need help with reviewing/editing

jasmainak commented 4 years ago

@DreHar would you mind looking at this PR: #313 ? Thanks a lot!