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WEE
View on CRAN: Click
here
Download and install WEE package within the R console
Install from CRAN:
install.packages("WEE")
Install from Github:
library("remotes")
install_github("cran/WEE") Install by package version:
library("remotes")
install_version("WEE", "1.0") Attach the package and use:
library("WEE")
Maintained by
Wodan Ling
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-15
Latest Update:
Description:
Secondary analysis of case-control studies using a weighted estimating equation WEE approach logistic regression for binary secondary outcomes linear regression and quantile regression for continuous secondary outcomes.
How to cite:
Wodan Ling (2016). WEE: Weighted Estimated Equation (WEE) Approaches in Genetic
Case-Control Studies. R package version 1.0, https://cran.r-project.org/web/packages/WEE. Accessed 06 Mar. 2026.
Previous versions and publish date:
1.0 (2016-11-15 02:19)
Other packages that cited WEE R package
View WEE citation profile
Other R packages that WEE depends,
imports, suggests or enhances
Functions, R codes and Examples using
the WEE R package
Some associated functions: WEE-package . WEE.linear . WEE.logistic . WEE.quantile . plot.WEE.quantile . plot.predict.WEE.quantile . predict.WEE.linear . predict.WEE.logistic . predict.WEE.quantile . print.WEE.linear . print.WEE.logistic . print.WEE.quantile . print.summary.WEE.linear . print.summary.WEE.logistic . print.summary.WEE.quantile . summary.WEE.linear . summary.WEE.logistic . summary.WEE.quantile .
Some associated R codes: Full WEE package functions and examples
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