Other packages > Find by keyword >

phantSEM  

Create Phantom Variables in Structural Equation Models for Sensitivity Analyses
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("phantSEM", "1.0.1")



Attach the package and use:
library("phantSEM")
Maintained by
Alexis Georgeson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-09-07
Latest Update: 2023-09-07
Description:
Create phantom variables, which are variables that were not observed, for the purpose of sensitivity analyses for structural equation models. The package makes it easier for a user to test different combinations of covariances between the phantom variable(s) and observed variables. The package may be used to assess a model's or effect's sensitivity to temporal bias (e.g., if cross-sectional data were collected) or confounding bias.
How to cite:
Alexis Georgeson (2023). phantSEM: Create Phantom Variables in Structural Equation Models for Sensitivity Analyses. R package version 1.0.1, https://cran.r-project.org/web/packages/phantSEM. Accessed 28 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:40), 1.0.0.0 (2023-09-07 10:50)
Other packages that cited phantSEM R package
View phantSEM citation profile
Other R packages that phantSEM depends, imports, suggests or enhances
Complete documentation for phantSEM
Functions, R codes and Examples using the phantSEM R package
Some associated functions: SA_lookup . SA_step1 . SA_step2 . SA_step3 . ghost_par_ests . phantSEM-package . 
Some associated R codes: SA_lookup.R . SA_step1.R . SA_step2.R . SA_step3.R . ghost_par_ests.R . phantSEM-package.R .  Full phantSEM package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

msamp  
Estimate Sample Size to Detect Bacterial Contamination in a Product Lot
Estimates the sample size needed to detect microbial contamination in a lot with a user-specified d ...
Download / Learn more Package Citations See dependency  
cats  
Cohort Platform Trial Simulation
Cohort plAtform Trial Simulation whereby every cohort consists of two arms, control and experimenta ...
Download / Learn more Package Citations See dependency  
ncdf4  
Interface to Unidata netCDF (Version 4 or Earlier) Format Data Files
Provides a high-level R interface to data files written using Unidata's netCDF library (version 4 or ...
Download / Learn more Package Citations See dependency  
NPHazardRate  
Nonparametric Hazard Rate Estimation
Provides functions and examples for histogram, kernel (classical, variable bandwidth and transformat ...
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  

29,218

R Packages

247,686

Dependencies

77,281

Author Associations

29,219

Publication Badges

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