Other packages > Find by keyword >

samon  

Sensitivity Analysis for Missing Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("samon", "4.0.2")



Attach the package and use:
library("samon")
Maintained by
Aidan McDermott
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-08-16
Latest Update: 2023-10-26
Description:
In a clinical trial with repeated measures designs, outcomes are often taken from subjects at fixed time-points. The focus of the trial may be to compare the mean outcome in two or more groups at some pre-specified time after enrollment. In the presence of missing data auxiliary assumptions are necessary to perform such comparisons. One commonly employed assumption is the missing at random assumption (MAR). The 'samon' package allows the user to perform a (parameterized) sensitivity analysis of this assumption. In particular it can be used to examine the sensitivity of tests in the difference in outcomes to violations of the MAR assumption. The sensitivity analysis can be performed under two scenarios, a) where the data exhibit a monotone missing data pattern (see the samon() function), and, b) where in addition to a monotone missing data pattern the data exhibit intermittent missing values (see the samonIM() function).
How to cite:
Aidan McDermott (2017). samon: Sensitivity Analysis for Missing Data. R package version 4.0.2, https://cran.r-project.org/web/packages/samon. Accessed 07 Jun. 2026.
Previous versions and publish date:
4.0.0 (2017-08-16 00:02), 4.0.1 (2020-05-05 15:40)
Other packages that cited samon R package
View samon citation profile
Other R packages that samon depends, imports, suggests or enhances
Complete documentation for samon
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

curtailment  
Finds Binary Outcome Designs Using Stochastic Curtailment
Finds single- and two-arm designs using stochastic curtailment, as described by Law et al. (2022) ...
Download / Learn more Package Citations See dependency  
keep  
Arrays with Better Control over Dimension Dropping
Provides arrays with flexible control over dimension dropping when subscripting. ...
Download / Learn more Package Citations See dependency  
gRain  
Bayesian Networks
Probability propagation in graphical independence networks, also known as Bayesian networks or prob ...
Download / Learn more Package Citations See dependency  
roxygen2  
In-Line Documentation for R
Generate your Rd documentation, 'NAMESPACE' file, and collation field using specially formatted com ...
Download / Learn more Package Citations See dependency  
xmlr  
Read, Write and Work with 'XML' Data
'XML' package for creating and reading and manipulating 'XML', with an object model based on 'Refere ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  

27,372

R Packages

233,548

Dependencies

72,820

Author Associations

27,205

Publication Badges

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