Other packages > Find by keyword >

RCTrep  

Validation of Estimates of Treatment Effects in Observational Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RCTrep", "1.2.0")



Attach the package and use:
library("RCTrep")
Maintained by
Lingjie Shen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-03-29
Latest Update: 2023-11-02
Description:
Validates estimates of (conditional) average treatment effects obtained using observational data by a) making it easy to obtain and visualize estimates derived using a large variety of methods (G-computation, inverse propensity score weighting, etc.), and b) ensuring that estimates are easily compared to a gold standard (i.e., estimates derived from randomized controlled trials). 'RCTrep' offers a generic protocol for treatment effect validation based on four simple steps, namely, set-selection, estimation, diagnosis, and validation. 'RCTrep' provides a simple dashboard to review the obtained results. The validation approach is introduced by Shen, L., Geleijnse, G. and Kaptein, M. (2023) .
How to cite:
Lingjie Shen (2023). RCTrep: Validation of Estimates of Treatment Effects in Observational Data. R package version 1.2.0, https://cran.r-project.org/web/packages/RCTrep. Accessed 02 Feb. 2025.
Previous versions and publish date:
1.0.0 (2023-03-29 10:10), 1.1.0 (2023-08-09 12:20)
Other packages that cited RCTrep R package
View RCTrep citation profile
Other R packages that RCTrep depends, imports, suggests or enhances
Complete documentation for RCTrep
Functions, R codes and Examples using the RCTrep R package
Full RCTrep package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

listcompr  
List Comprehension for R
Syntactic shortcuts for creating synthetic lists, vectors, data frames, and matrices using list com ...
Download / Learn more Package Citations See dependency  
cptcity  
'cpt-city' Colour Gradients
Incorporates colour gradients from the 'cpt-city' web archive available at ...
Download / Learn more Package Citations See dependency  
mbmixture  
Microbiome Mixture Analysis
Evaluate whether a microbiome sample is a mixture of two samples, by fitting a model for the number ...
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  
bndovb  
Bounding Omitted Variable Bias Using Auxiliary Data
Functions to implement a Hwang(2021) estimator, which bounds an omitted v ...
Download / Learn more Package Citations See dependency  
cleandata  
To Inspect and Manipulate Data; and to Keep Track of This Process
Functions to work with data frames to prepare data for further analysis. The functions for imputati ...
Download / Learn more Package Citations See dependency  

23,580

R Packages

204,057

Dependencies

63,980

Author Associations

23,581

Publication Badges

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