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 18 Feb. 2025.
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
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

RobustBayesianCopas  
Robust Bayesian Copas Selection Model
Fits the robust Bayesian Copas (RBC) selection model of Bai et al. (2020) for cor ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
OptGS  
Near-Optimal Group-Sequential Designs for Continuous Outcomes
Optimal group-sequential designs minimise some function of the expected and maximum sample size whil ...
Download / Learn more Package Citations See dependency  
clustMixType  
k-Prototypes Clustering for Mixed Variable-Type Data
Functions to perform k-prototypes partitioning clustering for mixed variable-type data according to ...
Download / Learn more Package Citations See dependency  
readxlsb  
Read 'Excel' Binary (.xlsb) Workbooks
Import data from 'Excel' binary (.xlsb) workbooks into R. ...
Download / Learn more Package Citations See dependency  
MOSS  
Multi-Omic Integration via Sparse Singular Value Decomposition
High dimensionality, noise and heterogeneity among samples and features challenge the omic integrat ...
Download / Learn more Package Citations See dependency  

23,712

R Packages

205,795

Dependencies

64,332

Author Associations

23,631

Publication Badges

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