Other packages > Find by keyword >

EmpiricalCalibration  

Routines for Performing Empirical Calibration of Observational Study Estimates
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("EmpiricalCalibration", "3.1.4")



Attach the package and use:
library("EmpiricalCalibration")
Maintained by
Martijn Schuemie
[Scholar Profile | Author Map]
First Published: 2016-02-15
Latest Update: 2023-12-21
Description:
Routines for performing empirical calibration of observational study estimates. By using a set of negative control hypotheses we can estimate the empirical null distribution of a particular observational study setup. This empirical null distribution can be used to compute a calibrated p-value, which reflects the probability of observing an estimated effect size when the null hypothesis is true taking both random and systematic error into account. A similar approach can be used to calibrate confidence intervals, using both negative and positive controls. For more details, see Schuemie et al. (2013) and Schuemie et al. (2018) .
How to cite:
Martijn Schuemie (2016). EmpiricalCalibration: Routines for Performing Empirical Calibration of Observational Study Estimates. R package version 3.1.4, https://cran.r-project.org/web/packages/EmpiricalCalibration. Accessed 27 Feb. 2025.
Previous versions and publish date:
1.1.0 (2016-02-15 13:46), 1.2.0 (2016-08-16 19:47), 1.3.1 (2017-05-16 09:33), 1.3.6 (2017-11-07 17:33), 1.4.0 (2018-11-24 21:30), 2.0.0 (2019-07-08 17:30), 2.0.1 (2020-01-13 10:10), 2.0.2 (2020-04-07 11:30), 2.1.0 (2021-03-04 09:20), 3.0.0 (2021-09-28 10:50), 3.1.0 (2022-07-01 16:30), 3.1.1 (2022-08-09 16:40), 3.1.2 (2023-12-21 17:10), 3.1.3 (2024-09-30 08:50)
Other packages that cited EmpiricalCalibration R package
View EmpiricalCalibration citation profile
Other R packages that EmpiricalCalibration depends, imports, suggests or enhances
Complete documentation for EmpiricalCalibration
Downloads during the last 30 days
01/2801/2901/3001/3102/0102/0202/0302/0402/0502/0602/0702/0802/0902/1002/1102/1202/1302/1402/1502/1602/1702/1802/1902/2002/2102/2202/2302/2402/25Downloads for EmpiricalCalibration102030405060708090100TrendBars

Today's Hot Picks in Authors and Packages

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  
lctools  
Local Correlation, Spatial Inequalities, Geographically Weighted Regression and Other Tools
Provides researchers and educators with easy-to-learn user friendly tools for calculating key spati ...
Download / Learn more Package Citations See dependency  
PerFit  
Person Fit
Several person-fit statistics (PFSs; Meijer and Sijtsma, 2001, ) ar ...
Download / Learn more Package Citations See dependency  
zendeskR  
Zendesk API Wrapper
This package provides an R wrapper for the Zendesk API ...
Download / Learn more Package Citations See dependency  
eatGADS  
Data Management of Large Hierarchical Data
Import 'SPSS' data, handle and change 'SPSS' meta data, store and access large hierarchical data in ...
Download / Learn more Package Citations See dependency  
ipumsr  
An R Interface for Downloading, Reading, and Handling IPUMS Data
An easy way to work with census, survey, and geographic data provided by IPUMS in R. Generate and d ...
Download / Learn more Package Citations See dependency  

23,762

R Packages

206,309

Dependencies

64,478

Author Associations

23,763

Publication Badges

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