lpcde
lpcde: Estimation and Inference for Local Polynomial Conditional Density Estimators - Published in JOSS (2025)
Science Score: 95.0%
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Published in Journal of Open Source Software
Repository
R implementation of bandwidth selection, point estimation and inference procedures for local polynomial conditional distribution and density methods.
Basic Info
- Host: GitHub
- Owner: nppackages
- License: gpl-3.0
- Language: R
- Default Branch: main
- Homepage: https://nppackages.github.io/lpcde/
- Size: 1.74 MB
Statistics
- Stars: 5
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 7
Metadata Files
README.md
lpcde
The lpcde package provides R implementation of bandwidth selection, point estimation and inference procedures for local polynomial conditional distribution and density methods.
This work was supported by the the National Science Foundation through grants SES-1947805, SES-1947662, DMS-2210561, and SES-2241575, and from the National Institute of Health (R01 GM072611-16).
Website
https://nppackages.github.io/lpcde
Queries and Requests
Please email: lpcde@googlegroups.com
R Implementation
Install from source
Install the development version of the package by running
devtools::install_github('nppackages/lpcde/R/lpcde')
Install from CRAN
To install/update in R type:
install.packages('lpcde')
Contributing
If you have any contributions to help improve or increase the functionality of this package, then please feel free to contribute, by opening a PR or an issue if you have any suggestions.
Major Updates
Details regarding package updates can be found in NEWS.md.
Additional Information
Help: R Manual, CRAN repository.
A simple replication file: R-script.
Additional simulations using this package: Technical Paper replication script
References
Software and Implementation
- Cattaneo, Chandak, Jansson and Ma (2025): lpcde: Estimation and Inference for Local Polynomial Conditional Density Estimators.
Journal of Open Source Software 10(107): 7241.
Companion arXiv version
Technical and Methodological
- Cattaneo, Chandak, Jansson and Ma (2024): Boundary Adaptive Local Polynomial Conditional Density Estimators.
Bernoulli 30(4): 3193-3223.
Supplemental appendix.
Owner
- Name: NP Packages
- Login: nppackages
- Kind: organization
- Website: https://nppackages.github.io/
- Repositories: 5
- Profile: https://github.com/nppackages
Nonparametric and Semiparametric Methods
JOSS Publication
lpcde: Estimation and Inference for Local Polynomial Conditional Density Estimators
Authors
Department of Operations Research and Financial Engineering, Princeton University, USA
Institute of Mathematics, EPFL, Switzerland
Department of Economics, University of California, Berkeley, USA
Department of Economics, University of California, San Diego, USA
Editor
Susan Holmes
Tags
statistics density estimation kernel methods local polynomialsGitHub Events
Total
- Create event: 2
- Issues event: 12
- Release event: 2
- Issue comment event: 15
- Push event: 19
Last Year
- Create event: 2
- Issues event: 12
- Release event: 2
- Issue comment event: 15
- Push event: 19
Committers
Last synced: 7 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Rajita Chandak | r****k@d****u | 130 |
| Matias D. Cattaneo | c****o@p****u | 21 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 9
- Total pull requests: 4
- Average time to close issues: 1 day
- Average time to close pull requests: 21 minutes
- Total issue authors: 2
- Total pull request authors: 1
- Average comments per issue: 0.44
- Average comments per pull request: 0.25
- Merged pull requests: 4
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 9
- Pull requests: 0
- Average time to close issues: 1 day
- Average time to close pull requests: N/A
- Issue authors: 2
- Pull request authors: 0
- Average comments per issue: 0.44
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- salbalkus (6)
- soichiroy (3)
Pull Request Authors
- rajitachandak (6)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- R >= 3.3.0 depends
- MASS * imports
- Rcpp >= 0.12.8 imports
- ggplot2 * imports
- mvtnorm * imports
- purrr * imports
- stats * imports
- testthat >= 3.0.0 suggests
- actions/checkout v2 composite
- codecov/codecov-action v3 composite
- actions/checkout v2 composite
- r-lib/actions/check-r-package v2 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite