[PRE REVIEW]: lpcde: Estimation and Inference for Local Polynomial Conditional Density Estimators

[editorialbot]

Submitting author: @rajitachandak (Rajita Chandak)
Repository: https://github.com/nppackages/lpcde
Branch with paper.md (empty if default branch):
Version: v.0.1.4
Editor: @spholmes
Reviewers: @salbalkus
Managing EiC: Chris Vernon

Status

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Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

✅ OK DOIs

- None

🟡 SKIP DOIs

- No DOI given, and none found for title: Local Polynomial Conditional Density Estimators
- No DOI given, and none found for title: lpcde: Estimation and Inference for Local Polynomi...
- No DOI given, and none found for title: On Conditional Density Estimation
- No DOI given, and none found for title: Local Polynomial Modelling and Its Applications
- No DOI given, and none found for title: Smoothing Methods in Statistics
- No DOI given, and none found for title: Kernel Smoothing
- No DOI given, and none found for title: Nonparametric Econometrics: The np Package
- No DOI given, and none found for title: ggplot2: Elegant Graphics for Data Analysis
- No DOI given, and none found for title: Conditional Density Estimation with Neural Network...

❌ MISSING DOIs

- 10.1080/01621459.2017.1285776 may be a valid DOI for title: On the Effect of Bias Estimation on Coverage Accur...
- 10.3150/21-bej1445 may be a valid DOI for title: Coverage Error Optimal Confidence Intervals for Lo...
- 10.1093/biomet/83.1.189 may be a valid DOI for title: Estimation of Conditional Densities and Sensitivit...
- 10.1198/016214504000000548 may be a valid DOI for title: Cross-Validation and the Estimation of Conditional...
- 10.2307/2669691 may be a valid DOI for title: Methods for Estimating a Conditional Distribution ...
- 10.2307/1270280 may be a valid DOI for title: Multivariate Density Estimation: Theory, Practice,...
- 10.32614/cran.package.hdrcde may be a valid DOI for title: hdrcde: Highest Density Regions and Conditional De...

❌ INVALID DOIs

- None

[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.90  T=0.03 s (1289.8 files/s, 197108.2 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
R                               22            436           1619           2422
Markdown                         4             50              0            139
TeX                              2             21              4            139
YAML                             3             15              6             93
C++                              2             16             22             61
-------------------------------------------------------------------------------
SUM:                            33            538           1651           2854
-------------------------------------------------------------------------------

Commit count by author:

   102	Rajita Chandak
    14	Matias D. Cattaneo

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 876

✅ The paper includes a Statement of need section

[editorialbot]

License info:

🔴 Failed to discover a valid open source license

[editorialbot]

👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

[editorialbot]

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⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.

[crvernon]

@editorialbot invite @spholmes as editor

Hi Susan, are you able to take this one on as editor?

[editorialbot]

Invitation to edit this submission sent!

[spholmes]

Hi @crvernon ,
Happy to help you with this one.
best, susan

[crvernon]

@editorialbot assign @spholmes as editor

Thanks @spholmes!

[editorialbot]

Assigned! @spholmes is now the editor

[spholmes]

Hi @mayer79,
would you be interested in reviewing this submission to JOSS?
Many Thanks,
Susan

[spholmes]

Hi @nhejazi,
We have a submission of an R package and article to JOSS, maybe you could help us review it?
Many Thanks
Susan

[nhejazi]

hi @spholmes -- this looks interesting and i'd be happy to help but i'm bandwidth-limited at the moment. would it be alright if i co-review with a doctoral student i work with (@salbalkus)? he's been studying conditional density estimation in causal inference

[spholmes]

Yes @nhejazi that sounds fine, for practical purposes you will have to choose who fills in the checklist,
(you or @salbalkus)
just let me know, thanks
Susan

[nhejazi]

thanks @spholmes -- let's plan to go with having @salbalkus act as the primary assigned reviewer on the checklist

[mayer79]

@spholmes Thanks for pinging me. Not available for this review. But looking forward for other projects.

[spholmes]

Thanks @mayer79 for your quick reply.

[salbalkus]

Hi @spholmes just wanted to confirm that I am willing to review this paper and fill out the checklist!

[spholmes]

@editorialbot add @salbalkus as reviewer.

[editorialbot]

@salbalkus added to the reviewers list!

[spholmes]

@editorialbot start review

[editorialbot]

OK, I've started the review over in #7241.

[spholmes]

@salbalkus : the review will be on a different issue thread: #7241
you can generate your checklist by asking
@editorialbot generate my checklist over there.