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cherry (version 0.6-12)

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

517

Version

0.6-12

License

GPL (>= 2)

Maintainer

Jelle Goeman

Last Published

January 29th, 2018

Functions in cherry (0.6-12)

DAG class

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

DAG Testing

Testing of hypotheses, forming a DAG.

Construct the DAG from a given collection of sets.

Constructing a DAG.

hommel class

Class "hommel" for storing the adjusted p-values of Hommel's multiple testing method.

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.

Closed Testing

Closed Testing for Exploratory Research

Closure class

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

NAEP

National Assessment of Educational Progress (NAEP) p-values

Adjusted

Adjusted p-values for the number of true hypotheses.

Plot region objects

Visualizing of the region hypotheses that could be rejected.

Pick

Confidence limits for the number of true hypotheses.

Region Testing

Testing of all possible region hypotheses

regionpick

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

hommelFast

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

Region class

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

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.