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rwicc

Regression with Interval-Censored Covariates (in R)

https://github.com/d-morrison/rwicc

Science Score: 33.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
  • ○
    codemeta.json file
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    .zenodo.json file
  • ✓
    DOI references
    Found 1 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: wiley.com
  • ✓
    Committers with academic emails
    2 of 4 committers (50.0%) from academic institutions
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    Scientific vocabulary similarity
    Low similarity (15.4%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Regression with Interval-Censored Covariates (in R)

Basic Info
Statistics
  • Stars: 2
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 3
Created about 5 years ago · Last pushed about 1 year ago
Metadata Files
Readme License Code of conduct

README.Rmd 

---
output: github_document
---



```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# rwicc


[![R-CMD-check](https://github.com/d-morrison/rwicc/workflows/R-CMD-check/badge.svg)](https://github.com/d-morrison/rwicc/actions)


`rwicc` ("Regression With Interval-Censored Covariates") is an R software package 
implementing an analysis for a regression model involving an interval-censored covariate,
as described in "Regression with Interval-Censored Covariates: Application to Cross-Sectional Incidence
Estimation" by Morrison, Laeyendecker, and Brookmeyer (Biometrics, 2021): https://onlinelibrary.wiley.com/doi/10.1111/biom.13472.

This analysis uses a joint model for the distributions of the outcome of interest and the interval-censored covariate, which is treated as a latent variable; the model parameters are estimated by maximum likelihood using an EM algorithm. 
The submodel used for the distribution of the interval-censored covariate is
somewhat specific to the application of interest (estimation of the mean duration of a biomarker-defined window period for 
cross-sectional incidence estimation), so this package may not be immediately applicable to other problems. We are publishing it
with the goal of making the results in our paper easier to reproduce and with the hope that others might adapt pieces of this code
for their own applications. Please feel free to [contact us](mailto:dmorrison01@ucla.edu) with any questions about the code or the paper!


## Installation

You can install the current released version from [CRAN](https://cran.r-project.org) with:

``` r
install.packages("rwicc")
```

You can install the development version from [GitHub](https://github.com/) with:

``` r
install.packages("devtools")
devtools::install_github("d-morrison/rwicc")
```

## Examples of use

See: https://d-morrison.github.io/rwicc/articles/how-to-use-rwicc.html

## Code of Conduct

Please note that the rwicc project is released with a [Contributor Code of Conduct](https://d-morrison.github.io/rwicc/CODE_OF_CONDUCT.html). By contributing to this project, you agree to abide by its terms.

Owner

  • Name: Douglas Ezra Morrison
  • Login: d-morrison
  • Kind: user
  • Company: University of California, Davis

GitHub Events

Total
  • Watch event: 1
Last Year
  • Watch event: 1

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 73
  • Total Committers: 4
  • Avg Commits per committer: 18.25
  • Development Distribution Score (DDS): 0.548
Past Year
  • Commits: 4
  • Committers: 1
  • Avg Commits per committer: 4.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Douglas Ezra Morrison d****n@g****m 33
Douglas Ezra Morrison d****1@u****u 21
Douglas Ezra Morrison d****n@g****m 15
Douglas Ezra Morrison d****n@u****u 4
Committer Domains (Top 20 + Academic)
ucdavis.edu: 1 ucla.edu: 1

Issues and Pull Requests

Last synced: 11 months ago

All Time
  • Total issues: 1
  • Total pull requests: 9
  • Average time to close issues: 1 day
  • Average time to close pull requests: 5 minutes
  • Total issue authors: 1
  • Total pull request authors: 2
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 9
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • d-morrison (1)
Pull Request Authors
  • d-morrison (6)
  • ghost (3)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 258 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
cran.r-project.org: rwicc

Regression with Interval-Censored Covariates

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 258 Last month
Rankings
Forks count: 28.8%
Dependent packages count: 29.8%
Stargazers count: 31.7%
Dependent repos count: 35.5%
Average: 42.0%
Downloads: 84.5%
Maintainers (1)
dmorrison01@ucla.edu
Last synced: 11 months ago

Dependencies

DESCRIPTION cran
  • arm * imports
  • biglm * imports
  • dplyr * imports
  • ggplot2 * imports
  • lubridate * imports
  • magrittr * imports
  • pryr * imports
  • scales * imports
  • stats * imports
  • knitr * suggests
  • markdown * suggests
  • pander * suggests
  • rmarkdown * suggests
  • spelling * suggests
  • testthat * suggests
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