Other packages > Find by keyword >

sensitivitymw  

Sensitivity Analysis for Observational Studies Using Weighted M-Statistics
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sensitivitymw", "2.1")



Attach the package and use:
library("sensitivitymw")
Maintained by
Paul R. Rosenbaum
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-05-13
Latest Update: 2022-01-04
Description:
Sensitivity analysis for tests, confidence intervals and estimates in matched observational studies with one or more controls using weighted or unweighted Huber-Maritz M-tests (including the permutational t-test). The method is from Rosenbaum (2014) Weighted M-statistics with superior design sensitivity in matched observational studies with multiple controls JASA, 109(507), 1145-1158 .
How to cite:
Paul R. Rosenbaum (2014). sensitivitymw: Sensitivity Analysis for Observational Studies Using Weighted M-Statistics. R package version 2.1, https://cran.r-project.org/web/packages/sensitivitymw. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0 (2014-05-13 19:55), 1.1 (2014-07-24 08:22)
Other packages that cited sensitivitymw R package
View sensitivitymw citation profile
Other R packages that sensitivitymw depends, imports, suggests or enhances
Complete documentation for sensitivitymw
Functions, R codes and Examples using the sensitivitymw R package
Some associated functions: erpcp . mercury . mscorev . multrnks . newurks . senmw . senmwCI . sensitivitymw-package . separable1k . 
Some associated R codes: mscorev.R . multrnks.R . newurks.R . senmw.R . senmwCI.R . separable1k.R .  Full sensitivitymw 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

elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
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  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

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