Other packages > Find by keyword >

miWQS  

Multiple Imputation Using Weighted Quantile Sum Regression
View on CRAN: Click here


Download and install miWQS package within the R console
Install from CRAN:
install.packages("miWQS")

Install from Github:
library("remotes")
install_github("cran/miWQS")

Install by package version:
library("remotes")
install_version("miWQS", "0.4.4")



Attach the package and use:
library("miWQS")
Maintained by
Paul M. Hargarten
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-12-23
Latest Update:
Description:
The miWQS package handles the uncertainty due to below the detection limit in a correlated component mixture problem. Researchers want to determine if a set/mixture of continuous and correlated components/chemicals is associated with an outcome and if so, which components are important in that mixture. These components share a common outcome but are interval-censored between zero and low thresholds, or detection limits, that may be different across the components. This package applies the multiple imputation (MI) procedure to the weighted quantile sum regression (WQS) methodology for continuous, binary, or count outcomes (Hargarten & Wheeler (2020) ). The imputation models are: bootstrapping imputation (Lubin et.al (2004) ), univariate Bayesian imputation (Hargarten & Wheeler (2020) ), and multivariate Bayesian regression imputation.
How to cite:
Paul M. Hargarten (2018). miWQS: Multiple Imputation Using Weighted Quantile Sum Regression. R package version 0.4.4, https://cran.r-project.org/web/packages/miWQS. Accessed 05 Mar. 2026.
Previous versions and publish date:
0.0.9 (2018-12-23 16:50), 0.1.0 (2019-07-31 07:00), 0.2.0 (2019-12-12 19:00), 0.4.2 (2021-01-21 11:40), 0.4.4 (2021-04-02 23:50)
Other packages that cited miWQS R package
View miWQS citation profile
Other R packages that miWQS depends, imports, suggests or enhances
Complete documentation for miWQS
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

ClimClass  
Climate Classification According to Several Indices
Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indi ...
Download / Learn more Package Citations See dependency  
roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  
diffIRT  
Diffusion IRT Models for Response and Response Time Data
Package to fit diffusion-based IRT models to response and response time data. Models are fit using ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  
imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA