Estimation of (Local) False Discovery Rates and Higher Criticism

Estimates both tail area-based false 
   discovery rates (Fdr) as well as local false discovery rates (fdr) for a 
   variety of null models (p-values, z-scores, correlation coefficients,
   t-scores).  The proportion of null values and the parameters of the null 
   distribution are adaptively estimated from the data.  In addition, the package 
   contains functions for non-parametric density estimation (Grenander estimator), 
   for monotone regression (isotonic regression and antitonic regression with weights),
   for computing the greatest convex minorant (GCM) and the least concave majorant (LCM), 
   for the half-normal and correlation distributions, and for computing
   empirical higher criticism (HC) scores and the corresponding decision threshold.

Roger Bivand, Friedrich Leisch and Martin Maechler

Functions for import, export, plotting and other
        manipulations of bitmapped images.

Uwe Ligges <ligges@statistik.tu-dortmund.de>, Martin Maechler, Sarah Schnackenberg

Plots a three dimensional (3D) point cloud.

The S4Vectors package defines the Vector and List virtual classes
	and a set of generic functions that extend the semantic of ordinary
	vectors and lists in R. Package developers can easily implement
	vector-like or list-like objects as concrete subclasses of Vector or
	List. In addition, a few low-level concrete subclasses of general
	interest (e.g. DataFrame, Rle, and Hits) are implemented in the
	S4Vectors package itself (many more are implemented in the IRanges
	package and in other Bioconductor infrastructure packages).

R (>= 3.1.0), methods, utils, stats, stats4, BiocGenerics (>=
0.15.10)

methods, utils, stats, stats4, BiocGenerics

S4-utils.R show-utils.R utils.R normarg-utils.R vector-utils.R
isSorted.R logical-utils.R int-utils.R str-utils.R eval-utils.R
DataTable-class.R subsetting-internals.R Annotated-class.R
Vector-class.R Vector-comparison.R Hits-class.R
Hits-comparison.R Hits-setops.R Rle-class.R Rle-utils.R
List-class.R List-utils.R SimpleList-class.R DataFrame-class.R
FilterRules-class.R aggregate-methods.R split-methods.R zzz.R