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WeightIt
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]
[Scholar Profile | Author Map]
All associated links for this package
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 06 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
Functions, R codes and Examples using
the WeightIt R package
Some associated functions: ESS . as.weightit . get_w_from_ps . make_full_rank . method_bart . method_cbps . method_ebal . method_ebcw . method_energy . method_gbm . method_npcbps . method_optweight . method_ps . method_super . method_user . sbps . stop.method . summary.weightit . trim . weightit.fit . weightit . weightitMSM .
Some associated R codes: SHARED.R . as.weightit.R . balance.criteria.R . dist_functions.R . functions_for_processing.R . sbps.R . trim.R . utilities.R . weightit.R . weightit.fit.R . weightit2method.R . weightitMSM.R . Full WeightIt package functions and examples
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