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
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
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

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  
steepness  
Testing Steepness of Dominance Hierarchies
The steepness package computes steepness as a property of dominance hierarchies. Steepness is define ...
Download / Learn more Package Citations See dependency  
critpath  
Setting the Critical Path in Project Management
Solving the problem of project management using CPM (Critical Path Method), PERT (Program Evaluation ...
Download / Learn more Package Citations See dependency  
mistral  
Methods in Structural Reliability
Various reliability analysis methods for rare event inference (computing failure probability and qua ...
Download / Learn more Package Citations See dependency  
ftaproxim  
Fault Tree Analysis Based on Proxel Simulation
Calculation and plotting of instantaneous unavailabilities of basic events along with the top event ...
Download / Learn more Package Citations See dependency  
rdbnomics  
Download DBnomics Data
R access to hundreds of millions data series from DBnomics API (). ...
Download / Learn more Package Citations See dependency  

22,114

R Packages

188,080

Dependencies

55,244

Author Associations

22,115

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net. Contact Us / Suggestions / Concerns