Other packages > Find by keyword >

MRStdLCRT  

Model-Robust Standardization for Longitudinal Cluster-Randomized Trials
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MRStdLCRT", "0.1.1")



Attach the package and use:
library("MRStdLCRT")
Maintained by
Xi Fang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-15
Latest Update: 2026-01-15
Description:
Provides estimation and leave-one-cluster-out jackknife standard errors for four longitudinal cluster-randomized trial estimands: horizontal individual average treatment effect (h-iATE), horizontal cluster average treatment effect (h-cATE), vertical individual average treatment effect (v-iATE), and vertical cluster-period average treatment effect (v-cATE), using unadjusted and augmented (model-robust standardization) estimators. The working model may be fit using linear mixed models for continuous outcomes or generalized estimating equations and generalized linear mixed models for binary outcomes. Period inclusion for aggregation is determined automatically: only periods with both treated and control clusters are included in the construction of the marginal means and treatment effect contrasts. See Fang et al. (2025) <doi:10.48550/arXiv.2507.17190>.
How to cite:
Xi Fang (2026). MRStdLCRT: Model-Robust Standardization for Longitudinal Cluster-Randomized Trials. R package version 0.1.1, https://cran.r-project.org/web/packages/MRStdLCRT. Accessed 24 Oct. 2026.
Previous versions and publish date:
0.1.0 (2026-01-15 18:50), (2026-07-09 08:09)
Other packages that cited MRStdLCRT R package
View MRStdLCRT citation profile
Other R packages that MRStdLCRT depends, imports, suggests or enhances
Complete documentation for MRStdLCRT
Functions, R codes and Examples using the MRStdLCRT R package
Full MRStdLCRT package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

magicfor  
Magic Functions to Obtain Results from for Loops
Magic functions to obtain results from for loops. ...
Download / Learn more Package Citations See dependency  
climwin  
Climate Window Analysis
Contains functions to detect and visualise periods of climate sensitivity (climate windows) for a g ...
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  
FDRsampsize  
Compute Sample Size that Meets Requirements for Average Power and FDR
Defines a collection of functions to compute average power and sample size for studies that use the ...
Download / Learn more Package Citations See dependency  
forecastHybrid  
Convenient Functions for Ensemble Time Series Forecasts
Convenient functions for ensemble forecasts in R combining approaches from the 'forecast' package. ...
Download / Learn more Package Citations See dependency  
gemlog  
File Conversion for "Gem Infrasound Logger"
Reads data files from the 'Gem infrasound logger' for analysis and converts to segy format (which is ...
Download / Learn more Package Citations See dependency  

29,080

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

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