Other packages > Find by keyword >

predictionInterval  

Prediction Interval Functions for Assessing Replication Study Results
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("predictionInterval", "1.0.0")



Attach the package and use:
library("predictionInterval")
Maintained by
David Stanley
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-08-20
Latest Update: 2016-08-20
Description:
A common problem faced by journal reviewers and authors is the question of whether the results of a replication study are consistent with the original published study. One solution to this problem is to examine the effect size from the original study and generate the range of effect sizes that could reasonably be obtained (due to random sampling) in a replication attempt (i.e., calculate a prediction interval). This package has functions that calculate the prediction interval for the correlation (i.e., r), standardized mean difference (i.e., d-value), and mean.
How to cite:
David Stanley (2016). predictionInterval: Prediction Interval Functions for Assessing Replication Study Results. R package version 1.0.0, https://cran.r-project.org/web/packages/predictionInterval. Accessed 04 Jun. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited predictionInterval R package
View predictionInterval citation profile
Other R packages that predictionInterval depends, imports, suggests or enhances
Complete documentation for predictionInterval
Functions, R codes and Examples using the predictionInterval R package
Some associated functions: pi.d.demo . pi.d . pi.m.demo . pi.m . pi.r.demo . pi.r . predictionInterval-package . 
Some associated R codes: correlationFunctions.R . dValueFunctions.R . meanFunctions.R . predictionInterval.R . utilityFunctions.R .  Full predictionInterval package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

phers  
Calculate Phenotype Risk Scores
Use phenotype risk scores based on linked clinical and genetic data to study Mendelian disease and ...
Download / Learn more Package Citations See dependency  
golem  
A Framework for Robust Shiny Applications
An opinionated framework for building a production-ready 'Shiny' application. This package contains ...
Download / Learn more Package Citations See dependency  
shinybusy  
Busy Indicators and Notifications for 'Shiny' Applications
Add indicators (spinner, progress bar, gif) in your 'shiny' applications to show the user that the ...
Download / Learn more Package Citations See dependency  
murphydiagram  
Murphy Diagrams for Forecast Comparisons
Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of Quantiles and Expectiles: Con ...
Download / Learn more Package Citations See dependency  
crplyr  
A 'dplyr' Interface for Crunch
In order to facilitate analysis of datasets hosted on the Crunch data platform ...
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  

27,268

R Packages

233,548

Dependencies

72,590

Author Associations

27,205

Publication Badges

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