This package contains the headers and static library files necessary for building C++ programs which use libstdc++.

Given an observed image containing a chessboard or a grid of circles, mrgingham locates the board in the image, and precisely computes the location of the chessboard corners (or circle centers). This is similar to the routines in OpenCV, but is faster and more robust.

This module implements an interface to getpriority() and setpriority() for PostgreSQL backends, callable from SQL functions. Essentially, this module allows users to `renice' their backends.

In self-reported or anonymised data the user often encounters heaped data, i.e. data which are rounded (to a possibly different degree of coarseness). While this is mostly a minor problem in parametric density estimation the bias can be very large for non-parametric methods such as kernel density estimation. This package implements a partly Bayesian algorithm treating the true unknown values as additional parameters and estimates the rounding parameters to give a corrected kernel density estimate. It supports various standard bandwidth selection methods. Varying rounding probabilities (depending on the true value) and asymmetric rounding is estimable as well: Gross, M. and Rendtel, U. (2016) (<doi:10.1093/jssam/smw011>). Additionally, bivariate non- parametric density estimation for rounded data, Gross, M. et al. (2016) (<doi:10.1111/rssa.12179>), as well as data aggregated on areas is supported.

This is the GNU Modula-2 compiler, which compiles Modula-2 on platforms supported by gcc. It uses the gcc backend to generate optimised code.

A macro processor that is used automatically by the GNU C compiler to transform programs before actual compilation.