Title: Calculate textures from grey-level co-occurrence matrices
Imports: Rcpp (>= 0.10.1), RcppArmadillo
Description: Enables calculation of image textures derived from grey-level
co-occurrence matrices (GLCMs) in R. The texture calculation is coded in

Imports: Rcpp (>= 0.11.0), RcppArmadillo

co-occurrence matrices (GLCMs) in R. Supports processing images that cannot

Title: Calculate Textures from Grey-Level Co-Occurrence Matrices
co-occurrence matrices (GLCMs). Supports processing images that cannot

Description: Enables calculation of image textures (Haralick 1973)
<doi:10.1109/TSMC.1973.4309314> from grey-level co-occurrence matrices
(GLCMs). Supports processing images that cannot fit in memory.

Title: Basic functions for the generalised (Tukey) lambda distribution
Description: The generalised lambda distribution, or Tukey lambda distribution,
provides a wide variety of shapes with one functional form.  This
package provides random numbers, quantiles, probabilities and densities.
Load this package, together with the drawdist package to draw pdfs

package provides random numbers, quantiles, probabilities, densities
and plots.  It also includes an implementation of the starship

Packaged: Tue Sep 14 12:00:14 2004; king

Packaged: Sat Aug 27 00:59:22 2005; king

Packaged: Thu Aug 25 16:05:38 2005; king

Packaged: Fri Oct  6 12:54:37 2006; king

Packaged: Mon Jul 23 16:32:08 2007; king

Title: Estimation and use of the generalised (Tukey) lambda distribution
Packaged: Thu Oct 11 11:14:43 2007; king

Title: Estimation and use of the generalised (Tukey) lambda
Description: The generalised lambda distribution, or Tukey lambda
distribution, provides a wide variety of shapes with one
functional form.  This package provides random numbers,
quantiles, probabilities, densities and plots.  It also
includes an implementation of the starship estimation method

Packaged: Thu Apr  6 09:14:24 2006; king

quantiles, probabilities, densities and plots (for the density
and distribution functions).  It also includes an
implementation of the starship estimation method for the