Other packages > Find by keyword >

svycdiff  

Controlled Difference Estimation for Complex Surveys
View on CRAN: Click here


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

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

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



Attach the package and use:
library("svycdiff")
Maintained by
Stephen Salerno
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-08-20
Latest Update: 2024-08-20
Description:
Estimates the population average controlled difference for a given outcome between levels of a binary treatment, exposure, or other group membership variable of interest for clustered, stratified survey samples where sample selection depends on the comparison group. Provides three methods for estimation, namely outcome modeling and two factorizations of inverse probability weighting. Under stronger assumptions, these methods estimate the causal population average treatment effect. Salerno et al., (2024) <doi:10.48550/arXiv.2406.19597>.
How to cite:
Stephen Salerno (2024). svycdiff: Controlled Difference Estimation for Complex Surveys. R package version 0.1.1, https://cran.r-project.org/web/packages/svycdiff. Accessed 07 Nov. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited svycdiff R package
View svycdiff citation profile
Other R packages that svycdiff depends, imports, suggests or enhances
Complete documentation for svycdiff
Functions, R codes and Examples using the svycdiff R package
Full svycdiff 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

bacondecomp  
Goodman-Bacon Decomposition
Decomposition for differences-in-differences with variation in treatment timing from Goodman-Bacon ...
Download / Learn more Package Citations See dependency  
con2aqi  
Calculate the AQI from Pollutant Concentration
To calculate the AQI (Air Quality Index) from pollutant concentration data. O3, PM2.5, PM10, CO, SO ...
Download / Learn more Package Citations See dependency  
robregcc  
Robust Regression with Compositional Covariates
We implement the algorithm estimating the parameters of the robust regression model with composition ...
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  

23,092

R Packages

198,677

Dependencies

62,675

Author Associations

23,089

Publication Badges

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