Package: predictionInterval 1.0.0

predictionInterval: Prediction Interval Functions for Assessing Replication Study Results

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.

Authors:David Stanley

predictionInterval_1.0.0.tar.gz
predictionInterval_1.0.0.zip(r-4.7)predictionInterval_1.0.0.zip(r-4.6)predictionInterval_1.0.0.zip(r-4.5)
predictionInterval_1.0.0.tgz(r-4.6-any)predictionInterval_1.0.0.tgz(r-4.5-any)
predictionInterval_1.0.0.tar.gz(r-4.7-any)predictionInterval_1.0.0.tar.gz(r-4.6-any)
predictionInterval_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
predictionInterval/json (API)

# Install 'predictionInterval' in R:
install.packages('predictionInterval', repos = c('https://dstanley4.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/dstanley4/predictioninterval/issues

On CRAN:

Conda:

3.04 score 1 stars 11 scripts 177 downloads 2 mentions 6 exports 50 dependencies

Last updated from:47da4b41f5. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK148
source / vignettesOK249
linux-release-x86_64OK161
macos-release-arm64OK123
macos-oldrel-arm64OK105
windows-develOK138
windows-releaseOK121
windows-oldrelOK91
wasm-releaseOK131

Exports:pi.dpi.d.demopi.mpi.m.demopi.rpi.r.demo

Dependencies:abindarmBHbootclicodacpp11digestfarverggplot2gluegtableisobandlabelinglatticelavaanlifecyclelme4MASSMatrixMBESSmiminqamnormtmvtnormnlmenloptrnumDerivOpenMxpbapplypbivnormquadprogR6rbibutilsRColorBrewerRcppRcppEigenRcppParallelRdpackreformulasrlangrpfS7scalessemsemToolsStanHeadersvctrsviridisLitewithr