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


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Documentation for package ‘SSPA’ version 2.30.0

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.