Science Score: 20.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
○codemeta.json file
-
○.zenodo.json file
-
○DOI references
-
✓Academic publication links
Links to: pubmed.ncbi, ncbi.nlm.nih.gov -
✓Committers with academic emails
2 of 3 committers (66.7%) from academic institutions -
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (11.3%) to scientific vocabulary
Repository
R package dlnm
Basic Info
Statistics
- Stars: 85
- Watchers: 3
- Forks: 15
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
dlnm: Distributed Lag Non-Linear Models
The package dlnm contains functions to specify and interpret distributed lag linear (DLMs) and non-linear (DLNMs) models. The DLM/DLNM methodology is illustrated in detail in a series of articles referenced at the end of this document.
Info on the dlnm package
The package dlnm is available on the Comprehensive R Archive Network (CRAN), with info at the related web page (https://cran.r-project.org/package=dlnm). A development website is available on GitHub (https://github.com/gasparrini/dlnm).
For a short summary of the functionalities of this package, refer to the main help page by typing:
r
help(dlnm)
in R after installation (see below). For a more comprehensive overview, refer to the main vignette of the package that can be opened with:
r
vignette("dlnmOverview")
Installation
The last version officially released on CRAN can be installed directly within R by typing:
r
install.packages("dlnm")
R code in published articles
Several peer-reviewed articles and documents provide R code illustrating methodological developments of dlnm or replicating substantive results using this package. An updated version of the code can be found at the GitHub (httpsgithub.com/gasparrini) or personal web page (http://www.ag-myresearch.com) of the package maintainer.
References:
Gasparrini A. Distributed lag linear and non-linear models in R: the package dlnm. Journal of Statistical Software. 2011; 43(8):1-20. [freely available here]
Gasparrini A, Scheipl F, Armstrong B, Kenward MG. A penalized framework for distributed lag non-linear models. Biometrics. 2017;73(3):938-948. [freely available here]://
Gasparrini A. Modelling lagged associations in environmental time series data: a simulation study. Epidemiology. 2016; 27(6):835-842. [freely available here]
Gasparrini A. Modeling exposure-lag-response associations with distributed lag non-linear models. Statistics in Medicine. 2014; 33(5):881-899. [freely available here].
Gasparrini A., Armstrong, B.,Kenward M. G. Distributed lag non-linear models. Statistics in Medicine. 2010; 29(21):2224-2234. [freely available here].
Gasparrini A., Armstrong, B., Kenward M. G. Reducing and meta-analyzing estimates from distributed lag non-linear models. BMC Medical Research Methodology. 2013; 13(1):1. [freely available here].
Armstrong, B. Models for the relationship between ambient temperature and daily mortality. Epidemiology. 2006, 17(6):624-31. [available here].
Owner
- Name: Antonio Gasparrini
- Login: gasparrini
- Kind: user
- Location: London, United Kingdom
- Company: London School of Hygiene & Tropical Medicine
- Website: http://www.ag-myresearch.com/
- Twitter: AGasparrini75
- Repositories: 34
- Profile: https://github.com/gasparrini
GitHub Events
Total
- Issues event: 3
- Watch event: 8
- Issue comment event: 11
- Push event: 1
- Fork event: 3
Last Year
- Issues event: 3
- Watch event: 8
- Issue comment event: 11
- Push event: 1
- Fork event: 3
Committers
Last synced: over 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Antonio Gasparrini | g****o@h****m | 29 |
| Antonio Gasparrini | a****i@l****k | 8 |
| Antonio Gasparrini | e****s@l****k | 5 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 12
- Total pull requests: 5
- Average time to close issues: 2 months
- Average time to close pull requests: 4 months
- Total issue authors: 11
- Total pull request authors: 4
- Average comments per issue: 2.5
- Average comments per pull request: 2.0
- Merged pull requests: 2
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 5
- Pull requests: 0
- Average time to close issues: 8 days
- Average time to close pull requests: N/A
- Issue authors: 5
- Pull request authors: 0
- Average comments per issue: 3.2
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- Aariq (2)
- saeedashraf (1)
- osupplisson (1)
- zhihu3456 (1)
- Kodiologist (1)
- ShufangW (1)
- Fred-Wu (1)
- Lfrueh (1)
- YZYEDDY (1)
- Selbosh (1)
- yangepi (1)
Pull Request Authors
- gasparrini (2)
- hblanks (1)
- Aariq (1)
- fabian-s (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- cran 2,225 last-month
- Total docker downloads: 43,547
- Total dependent packages: 8
- Total dependent repositories: 9
- Total versions: 49
- Total maintainers: 1
cran.r-project.org: dlnm
Distributed Lag Non-Linear Models
- Homepage: https://github.com/gasparrini/dlnm
- Documentation: http://cran.r-project.org/web/packages/dlnm/dlnm.pdf
- License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
-
Latest release: 2.4.10
published over 1 year ago
Rankings
Maintainers (1)
Dependencies
- R >= 3.2 depends
- grDevices * imports
- graphics * imports
- mgcv * imports
- nlme * imports
- splines * imports
- stats * imports
- tsModel * imports
- utils * imports
- gee * suggests
- geepack * suggests
- lme4 * suggests
- mixmeta * suggests
- survival * suggests