cherry (version 0.6-14)

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

397

Version

0.6-14

License

GPL (>= 2)

Maintainer

Jelle Goeman

Last Published

May 7th, 2021

Functions in cherry (0.6-14)

Closure class

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

DAG Testing

Testing of hypotheses, forming a DAG.

structured Holm

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

Plot region objects

Visualizing of the region hypotheses that could be rejected.

NAEP

National Assessment of Educational Progress (NAEP) p-values

DAG class

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

Adjusted

Adjusted p-values for the number of true hypotheses.

Select with shortcuts

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

regionpick

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

Pick

Confidence limits for the number of true hypotheses.

Region Testing

Testing of all possible region hypotheses

Region class

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

Closed Testing

Closed Testing for Exploratory Research

hommelFast

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

Construct the DAG from a given collection of sets.

Constructing a DAG.