Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

cherry

Multiple Testing Methods for Exploratory Research

Provides an alternative approach to multiple testing by calculating a simultaneous upper confidence bounds for the number of true null hypotheses among any subset of the hypotheses of interest, using the methods of Goeman and Solari (2011) <doi:10.1214/11-STS356>.

Functions (17)

DAG-class

Class "DAG" for storing the result of the DAG multiple testing method

DAGmethod

Testing of hypotheses, forming a DAG.

DAGpick

Confidence limits for the number of false hypotheses in a given family of sets.

DAGstructure-class

Class "DAGstructure" for storing the result of the construct method that constructs the DAG.

NAEP

National Assessment of Educational Progress (NAEP) p-values

adjusted

Adjusted p-values for the number of true hypotheses.

closed

Closed Testing for Exploratory Research

closure-class

Class "closure" for storing the result of the closed testing procedure

construct

Constructing a DAG.

hommelFast

Calculates adjusted p-values of Hommel's method efficiently.

region-class

Class "region" for storing the result of the region procedure

regionmethod

Testing of all possible region hypotheses

regionpick

Confidence limits for the number of false hypotheses in a given region.

regionplots

Visualizing of the region hypotheses that could be rejected.

select

Confidence limits for the number of true hypotheses.

shortcuts

Confidence limits for the number of true hypotheses, with shortcuts.

structuredHolm

Testing of hypotheses, forming a DAG, by using a variant of Holm's method.

cherry

Multiple Testing Methods for Exploratory Research

v0.6-14
GPL (>= 2)
Authors
Jelle Goeman, Aldo Solari, Rosa Meijer
Initial release
2021-05-07

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.