clean.cdf, save.cdf and load.cdf
Saving, loading or removing pre-computed conditional cdf objects from memory or disk
Extract estimated parameters
Density of noncentrality parameters
INTerpolation of INTeger degrees of freedom noncentral t-density
Estimate Proportion of True Null Hypotheses
Fit a discrete mixture of (noncentral) t-distributions
Randomly Choosing R Combinations of Two Groups of n and n2 Elements Taken m and m2 at a Time
conditional cdf of p-values given noncentrality parameters
(Censored) Beta-Uniform mixture for p-values
Averaged generalized jackknife estimate of pi0
Performs a grid search to minimize the objective function
Histogram estimator of p-value density evaluated at 1
Laplace approximation to the noncentral t-density
Density of noncental t-normal mixture
Histogram estimator of p-value density evaluated at 1
Density evaluated at observed statistics for discTMix class
Density evaluated at observed statistics for ncpest class
Nonparametric estimation of noncentrality parameters
Parametric estimation of noncentrality parameter distribution
Local False Discovery Rates (lfdr), i.e., Posterior Probability of Equivalent Expression (ppee) for gene expression profiling data.
Plotting the Estimated Regression Surface
plot an object of class nparncpt, i.e., nonparametric estiamte of noncentrality parameters
A Simulated Microarray Data Set
Extrapolate the Estimates of P-value Density at 1 from Subsamples to Estimate the Proportion of True Nulls
False Discovery Rate (FDR) Estimation Based on a Given Estimate of Pi0
Estimation of the density of absolute noncentrality parameters
iterative call to the nparncpp function
internal functions not to be used by users directly
internal functions not to be used by users directly
Estimating the proportion of true null hypotheses and False Discovery Rates
Print the Summary of the Subsampling T-tests
Saddle Point Approximation of noncentral t-distribution
Apply a Two Sample T-test to Each Row or Column of a Matrix
Estimated arginal density of t-statistics
pooling adjacent violator algorithm estimate of p-value density at 1
Distance between densities
Reflection and folding of a function about zero
Simulating a Microarray Data Set
Print summary for an object of class sparncp
Variance of the reflected Bsplines
Geometric mean and harmonic mean functions
Generalized jackknife
log likelihood from an object of class ncpest
Plotting the P-value, Q-values, and the Regression Surface
3D Scatter Plot of Subsample Sizes and P-value Density at One.
Print the Summary of the Extrapolation
Printing a Summary of Subsampling-Extrapolation Results
A Simulated 'extrpi0' Object
Print summary for an object of class nparncp
Print summary for an object of class parncp
Subsampling-Extrapolation Based Estimation of Proportion of True Null Hypotheses and False Discovery Rates for Microarray Data
Subsampling a Microarray Data Set for Estimating Proportion of True Null Hypotheses
Moments of truncated normal distribution and the integral in the noncentral t-distribution
plot an object of class parncpt, i.e., parametric estiamte of noncentrality parameters
plot an object of class sparncpt, i.e., semiparametric estimate of noncentrality parameters
A Simulated 'subt' Object
extract inverse Hessian matrix from ncpest class
Normal-mixture based estimation of LFDR and pi0
t-Statistics and p-Values from a Simulated Microarray Data Set
Semiparametric density estimation for noncentrality parameters
A Simulated 'subex' Object