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 28 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:30), 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

ncdf4  
Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files
Provides a high-level R interface to data files written using Unidata's netCDF library (version 4 or ...
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  
msamp  
Estimate Sample Size to Detect Bacterial Contamination in a Product Lot
Estimates the sample size needed to detect microbial contamination in a lot with a user-specified d ...
Download / Learn more Package Citations See dependency  
NPHazardRate  
Nonparametric Hazard Rate Estimation
Provides functions and examples for histogram, kernel (classical, variable bandwidth and transformat ...
Download / Learn more Package Citations See dependency  
cats  
Cohort Platform Trial Simulation
Cohort plAtform Trial Simulation whereby every cohort consists of two arms, control and experimenta ...
Download / Learn more Package Citations See dependency  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

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