cherry (version 0.6-15)

Multiple Testing Methods for Exploratory Research

Description

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) .

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Version

Install

install.packages('cherry')

Monthly Downloads

635

Version

0.6-15

License

GPL (>= 2)

Maintainer

Jelle Goeman

Last Published

January 17th, 2025

Functions in cherry (0.6-15)

Select with shortcuts

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

structured Holm

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

Region class

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

Region Testing

Testing of all possible region hypotheses

Closed Testing

Closed Testing for Exploratory Research

Adjusted

Adjusted p-values for the number of true hypotheses.

hommelFast

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

DAGpick

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

NAEP

National Assessment of Educational Progress (NAEP) p-values

DAGstructure class

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

Pick

Confidence limits for the number of true hypotheses.

Construct the DAG from a given collection of sets.

Constructing a DAG.

regionpick

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

Plot region objects

Visualizing of the region hypotheses that could be rejected.

DAG class

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

Closure class

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

DAG Testing

Testing of hypotheses, forming a DAG.