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 25 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

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  
airGRiwrm  
'airGR' Integrated Water Resource Management
Semi-distributed Precipitation-Runoff Modelling based on 'airGR' package models integrating human i ...
Download / Learn more Package Citations See dependency  
sitmo  
Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header Files
Provided within are two high quality and fast PPRNGs that may be used in an 'OpenMP' parallel enviro ...
Download / Learn more Package Citations See dependency  
edeaR  
Exploratory and Descriptive Event-Based Data Analysis
Exploratory and descriptive analysis of event based data. Provides methods for describing and select ...
Download / Learn more Package Citations See dependency  
foster  
Forest Structure Extrapolation with R
Set of tools to streamline the modeling of the relationship betweensatellite imagery time series or ...
Download / Learn more Package Citations See dependency  

27,535

R Packages

236,180

Dependencies

73,223

Author Associations

27,536

Publication Badges

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