Other packages > Find by keyword >

retrodesign  

Tools for Type S (Sign) and Type M (Magnitude) Errors
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("retrodesign", "0.2.2")



Attach the package and use:
library("retrodesign")
Maintained by
Andrew Timm
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-08
Latest Update: 2024-03-28
Description:
Provides tools for working with Type S (Sign) and Type M (Magnitude) errors, as proposed in Gelman and Tuerlinckx (2000) and Gelman & Carlin (2014) . In addition to simply calculating the probability of Type S/M error, the package includes functions for calculating these errors across a variety of effect sizes for comparison, and recommended sample size given "tolerances" for Type S/M errors. To improve the speed of these calculations, closed forms solutions for the probability of a Type S/M error from Lu, Qiu, and Deng (2018) are implemented. As of 1.0.0, this includes support only for simple research designs. See the package vignette for a fuller exposition on how Type S/M errors arise in research, and how to analyze them using the type of design analysis proposed in the above papers.
How to cite:
Andrew Timm (2019). retrodesign: Tools for Type S (Sign) and Type M (Magnitude) Errors. R package version 0.2.2, https://cran.r-project.org/web/packages/retrodesign. Accessed 05 Mar. 2026.
Previous versions and publish date:
0.1.0 (2019-03-08 15:00), 0.2.0 (2023-08-24 09:40), 0.2.1 (2023-11-02 23:20)
Other packages that cited retrodesign R package
View retrodesign citation profile
Other R packages that retrodesign depends, imports, suggests or enhances
Complete documentation for retrodesign
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  
neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  
diffIRT  
Diffusion IRT Models for Response and Response Time Data
Package to fit diffusion-based IRT models to response and response time data. Models are fit using ...
Download / Learn more Package Citations See dependency  
pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  
ClimClass  
Climate Classification According to Several Indices
Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indi ...
Download / Learn more Package Citations See dependency  
imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

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