Other packages > Find by keyword >

EScvtmle  

Experiment-Selector CV-TMLE for Integration of Observational and RCT Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("EScvtmle", "0.0.2")



Attach the package and use:
library("EScvtmle")
Maintained by
Lauren Eyler Dang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-11-02
Latest Update: 2023-01-05
Description:
The experiment selector cross-validated targeted maximum likelihood estimator (ES-CVTMLE) aims to select the experiment that optimizes the bias-variance tradeoff for estimating a causal average treatment effect (ATE) where different experiments may include a randomized controlled trial (RCT) alone or an RCT combined with real-world data. Using cross-validation, the ES-CVTMLE separates the selection of the optimal experiment from the estimation of the ATE for the chosen experiment. The estimated bias term in the selector is a function of the difference in conditional mean outcome under control for the RCT compared to the combined experiment. In order to help include truly unbiased external data in the analysis, the estimated average treatment effect on a negative control outcome may be added to the bias term in the selector. For more details about this method, please see Dang et al. (2022) .
How to cite:
Lauren Eyler Dang (2022). EScvtmle: Experiment-Selector CV-TMLE for Integration of Observational and RCT Data. R package version 0.0.2, https://cran.r-project.org/web/packages/EScvtmle. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.0.1 (2022-11-02 15:53)
Other packages that cited EScvtmle R package
View EScvtmle citation profile
Other R packages that EScvtmle depends, imports, suggests or enhances
Complete documentation for EScvtmle
Functions, R codes and Examples using the EScvtmle R package
Some associated functions: ES.cvtmle . plot.EScvtmle . print.EScvtmle . wash . 
Some associated R codes: EScvtmle.R . common_functions.R . support_functions_notxrwd.R . support_functions_txrwd.R . wash.R .  Full EScvtmle 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

wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
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  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

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