Package: intervcomp 0.1.2

Kimihiro Noguchi
intervcomp: Hypothesis Testing Using the Overlapping Interval Estimates
Performs hypothesis testing using the interval estimates (e.g., confidence intervals). The non-overlapping interval estimates indicates the statistical significance. References to these procedures can be found at Noguchi and Marmolejo-Ramos (2016) <doi:10.1080/00031305.2016.1200487>, Bonett and Seier (2003) <doi:10.1198/0003130032323>, and Lemm (2006) <doi:10.1300/J082v51n02_05>.
Authors:
intervcomp_0.1.2.tar.gz
intervcomp_0.1.2.tar.gz(r-4.5-noble)intervcomp_0.1.2.tar.gz(r-4.4-noble)
intervcomp_0.1.2.tgz(r-4.4-emscripten)intervcomp_0.1.2.tgz(r-4.3-emscripten)
intervcomp.pdf |intervcomp.html✨
intervcomp/json (API)
NEWS
# Install 'intervcomp' in R: |
install.packages('intervcomp', repos = 'https://cloud.r-project.org') |
- grouping - Grouping of Subjects for the Implicit Association Test
- reactiontimes - Reaction Time (RT) Data for the Implicit Association Test
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:90f97ea5b8. Checks:3 OK. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Mar 19 2025 |
R-4.5-linux | OK | Mar 19 2025 |
R-4.4-linux | OK | Mar 19 2025 |
Exports:Bonett.Seier.testdata.scale.xylogratiotwo.sample.meantwo.sample.var
Dependencies:
Citation
To cite the 'intervcomp' package in publications use:
Kimihiro Noguchi and Fernando-Marmolejo-Ramos (2016). Assessing Equality of Means Using the Overlap of Range-Preserving Confidence Intervals. The American Statistician 70(4), 325–334.
Ryan C. Erps and Kimihiro Noguchi (2019). A Robust Test for Checking the Homogeneity of Variability Measures and Its Application to the Analysis of Implicit Attitudes. Journal of Educational and Behavioral Statistics, Accepted.
Corresponding BibTeX entries:
@Article{, title = {Assessing Equality of Means Using the Overlap of Range-Preserving Confidence Intervals.}, author = {Kimihiro Noguchi and Fernando Marmolejo-Ramos}, journal = {The American Statistician}, year = {2016}, volume = {70}, number = {4}, pages = {325–334}, }
@Article{, title = {A Robust Test for Checking the Homogeneity of Variability Measures and Its Application to the Analysis of Implicit Attitudes.}, author = {Ryan C. Erps and Kimihiro Noguchi}, journal = {Journal of Educational and Behavioral Statistics}, year = {2019}, }
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Bonett-Seier Test for Equality of Variability Measures | Bonett.Seier.test |
Data Transformation for Testing Equality of Variability Measures | data.scale.xy |
Grouping of Subjects for the Implicit Association Test | grouping |
Log Ratio Analysis for the Implicit Association Test (IAT) | logratio |
Reaction Time (RT) Data for the Implicit Association Test | reactiontimes |
Range-Preserving Two-Sample T-Test for Equality of Means | two.sample.mean |
Two-Sample T-Test for Equality of Variability Mesures | two.sample.var |