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

## Documentation for package ‘SSPA’ version 2.27.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

cornerLcurve | Find corner L-curve
cornerScurve | Find corner S-curve
dbitri | Density function for a bi-triangular random variable.
deconvolution | deconvolution estimator using fft
deepSAGE | Test statistics derived from a deepSAGE experiment
defineEffectSizeRange | defineEffectSizeRange
findroot | bisection method for finding ustar
midpoint | Midpoint rule for numerical integration.
nncg | Non-negative conjugate gradient algorithm
Nutrigenomics | Test statistics from a Nutrigenomics gene expression profiling experiment
pbitri | Distribution function for a bi-triangular random variable.
picardplot | Picard-plot
pilotData | User friendly interface to class "PilotData"
predictpower | Predict power for given vector of sample sizes
qbitri | Quantile function for a bi-triangular random variable.
rbitri | Random generation of bitriangular distributed values.
regularization | Find optimal regularization parameter
sampleSize | User friendly interface to class 'SampleSize'
show-method | General show method for Classes PilotData and SampleSize
show-methods | General show method for Classes PilotData and SampleSize
simdat | Generate simulated microarray data using the bitriangular distribution.
simpson | Simpson's rule for numrical integration.
standardform | Transform to standard from
tikhonov | Tikhonov regularization
trapezoidal | Trapezoidal rule for numrical integration.
trimbin | Binning and trimming of the test statistics vector.