Man pages for SSPA
General Sample Size and Power Analysis for Microarray and Next-Generation Sequencing Data
| 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... |
| 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-methods | General show method for Classes PilotData and SampleSize |
| simdat | Generate simulated microarray data using the bitriangular... |
| 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. |
