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relevance (version 2.1)

Calculate Relevance and Significance Measures

Description

Calculates relevance and significance values for simple models and for many types of regression models. These are introduced in 'Stahel, Werner A.' (2021) "Measuring Significance and Relevance instead of p-values." . These notions are also applied to replication studies, as described in the manuscript 'Stahel, Werner A.' (2022) "'Replicability': Terminology, Measuring Success, and Strategy" available in the documentation.

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Version

Install

install.packages('relevance')

Monthly Downloads

177

Version

2.1

License

GPL-2

Maintainer

Last Published

January 25th, 2024

Functions in relevance (2.1)

Extract Components of a Fit

Shorten Strings

relevance.options

Options for the relevnance Package

relevance-internal

Internal objects of package relevance

relevance-package

tools:::Rd_package_title("relevance")

Show a Part of a Data.frame

Relevance Class

All Coefficients of a Model Fit

Statistics for Linear Models, Including Relevance Statistics

Inference for Replication Studies

Relevance and Significance for One or Two Samples

Reproducibility Class

drop or replace NA values

arc sine Transformation

Drop Single Terms of a Model and Calculate Respective Wald Tests

Last Elements of a Vector or of a Matrix

Drop Observations from a Data.frame

Started Logarithmic Transformation

Data from the OSC15 replication study

Blasting for a tunnel

print.inference

Print Tables with Inference Measures

Correlation with Relevance and Significance Measures

Data of an 'anchoring' experiment in psychology

Plot Inference Results

d.osc15Onesample

Data from the OSC15 replication study, one sample tests

Data of an 'anchoring' experiment in psychology

Confidence Interval for the Non-Central F and Chisquare Distribution

Print NA values by a Desired Code

Calculate Confidence Intervals and Relevance and Significance Values

Plot Confidence Intervals