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

[editorialbot]

Submitting author: !--author-handle-->@rajitachandak<!--end-author-handle-- (Rajita Chandak) Repository: https://github.com/nppackages/lpcde Branch with paper.md (empty if default branch): Version: v.0.1.4 Editor: !--editor-->@spholmes<!--end-editor-- Reviewers: Pending Managing EiC: Chris Vernon

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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]

:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:

[editorialbot]

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[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.