Calculate Relevance and Significance Measures
arc sine Transformation
Confidence Interval for the Non-Central F and Chisquare Distribution
Correlation with Relevance and Significance Measures
Drop Single Terms of a Model and Calculate Respective Wald Tests
Drop Observations from a Data.frame
drop or replace NA values
Print NA values by a Desired Code
Extract Components of a Fit
Calculate Confidence Intervals and Relevance and Significance Values
Last Elements of a Vector or of a Matrix
Started Logarithmic Transformation
Plot Confidence Intervals
Plot Inference Results
Print Tables with Inference Measures
Internal objects of package relevance
tools:::Rd_package_title("relevance")
Options for the relevnance Package
Inference for Replication Studies
Relevance Class
Reproducibility Class
Shorten Strings
Show a Part of a Data.frame
Count NAs
All Coefficients of a Model Fit
Statistics for Linear Models, Including Relevance Statistics
Relevance and Significance for One or Two Samples
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." <https://stat.ethz.ch/~stahel/relevance/stahel-relevance2103.pdf>. 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.