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SSPA (version 2.12.0)

General Sample Size and Power Analysis for Microarray and Next-Generation Sequencing Data

Description

General Sample size and power analysis for microarray and next-generation sequencing data.

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Version

Version

2.12.0

License

GPL (>= 2)

Maintainer

Maarten van Iterson

Last Published

February 15th, 2017

Functions in SSPA (2.12.0)

qbitri

Quantile function for a bi-triangular random variable.
show-methods

General show method for Classes PilotData and SampleSize
plot-methods

Methods for Function plot in Package SSPA
Nutrigenomics

Test statistics from a Nutrigenomics gene expression profiling experiment
dbitri

Density function for a bi-triangular random variable.
sampleSize

User friendly interface to class 'SampleSize'
rbitri

Random generation of bitriangular distributed values.
pbitri

Distribution function for a bi-triangular random variable.
predictpower

Predict power for given vector of sample sizes
deepSAGE

Test statistics derived from a deepSAGE experiment
simdat

Generate simulated microarray data using the bitriangular distribution.
pilotData

User friendly interface to class "PilotData"