Other packages > Find by keyword >

WeightIt  

Weighting for Covariate Balance in Observational Studies
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("WeightIt", "1.4.0")



Attach the package and use:
library("WeightIt")
Maintained by
Noah Greifer
[Scholar Profile | Author Map]
First Published: 2017-10-17
Latest Update: 2023-05-23
Description:
Generates balancing weights for causal effect estimation in observational studies with binary, multi-category, or continuous point or longitudinal treatments by easing and extending the functionality of several R packages and providing in-house estimation methods. Available methods include propensity score weighting using generalized linear models, gradient boosting machines, the covariate balancing propensity score algorithm, inverse probability tilting, Bayesian additive regression trees, and SuperLearner, and directly estimating balancing weights using entropy balancing, energy balancing, and optimization-based weights. Also allows for assessment of weights and checking of covariate balance by interfacing directly with the 'cobalt' package. See the vignette "Installing Supporting Packages" for instructions on how to install any package 'WeightIt' uses, including those that may not be on CRAN.
How to cite:
Noah Greifer (2017). WeightIt: Weighting for Covariate Balance in Observational Studies. R package version 1.4.0, https://cran.r-project.org/web/packages/WeightIt. Accessed 07 May. 2025.
Previous versions and publish date:
0.1.0 (2017-10-17 13:06), 0.2.0 (2017-11-13 01:05), 0.3.0 (2018-01-14 23:59), 0.3.1 (2018-03-03 16:10), 0.3.2 (2018-03-14 06:35), 0.4.0 (2018-06-25 06:43), 0.5.0 (2018-11-22 09:50), 0.5.1 (2019-01-16 09:50), 0.6.0 (2019-09-05 09:50), 0.7.0 (2019-10-16 06:40), 0.7.1 (2019-10-30 07:10), 0.8.0 (2020-01-12 07:00), 0.9.0 (2020-02-11 22:40), 0.10.0 (2020-07-07 11:10), 0.10.1 (2020-08-12 14:10), 0.10.2 (2020-08-27 07:10), 0.11.0 (2021-02-02 11:50), 0.12.0 (2021-04-03 15:50), 0.13.1 (2022-06-28 14:00), 0.14.0 (2023-04-12 11:10), 0.14.1 (2023-05-10 02:40), 0.14.2 (2023-05-23 09:20), 1.0.0 (2024-03-23 12:20), 1.1.0 (2024-05-04 23:20), 1.2.0 (2024-07-27 01:30), 1.3.0 (2024-08-24 08:10), 1.3.1 (2024-10-04 06:50), 1.3.2 (2024-11-05 10:10)
Other packages that cited WeightIt R package
View WeightIt citation profile
Other R packages that WeightIt depends, imports, suggests or enhances
Complete documentation for WeightIt
Downloads during the last 30 days
04/0704/0804/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/1904/2004/2104/2204/2304/2404/2504/2604/2704/2804/2904/3005/0105/0205/0305/0405/0505/06Downloads for WeightIt6080100120140160180200220240260280300320340TrendBars

Today's Hot Picks in Authors and Packages

funLBM  
Model-Based Co-Clustering of Functional Data
The funLBM algorithm allows to simultaneously cluster the rows and the columns of a data matrix wher ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
MLDS  
Maximum Likelihood Difference Scaling
Difference scaling is a method for scaling perceived supra-threshold differences. The package cont ...
Download / Learn more Package Citations See dependency  
aroma.affymetrix  
Analysis of Large Affymetrix Microarray Data Sets
A cross-platform R framework that facilitates processing of any number of Affymetrix microarray samp ...
Download / Learn more Package Citations See dependency  
humanize  
Create Values for Human Consumption
An almost direct port of the 'python' 'humanize' package . Thi ...
Download / Learn more Package Citations See dependency  

24,205

R Packages

207,311

Dependencies

65,312

Author Associations

24,206

Publication Badges

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