gnucobol4

COBOL compiler

GnuCOBOL (formerly OpenCOBOL) is a free, modern COBOL compiler. GnuCOBOL implements a substantial part of the COBOL 85, COBOL 2002 and COBOL 2014 standards and X/Open COBOL, as well as many extensions included in other COBOL compilers (IBM COBOL, MicroFocus COBOL, ACUCOBOL-GT and others).

libmpdec4

library for decimal floating point arithmetic (runtime library)

mpdecimal is a package for correctly-rounded arbitrary precision decimal floating point arithmetic.

libjxl0.11

JPEG XL Image Coding System - "JXL" (shared libraries)

The JPEG XL Image Coding System (ISO/IEC 18181) is a lossy and lossless image compression format. It has a rich feature set and is particularly optimized for responsive web environments, so that content renders well on a wide range of devices. Moreover, it includes several features that help transition from the legacy JPEG format.

libwebsockets-evlib-ev

lightweight C websockets library

Libwebsockets is a lightweight pure C library for both websockets clients and servers built to use minimal CPU and memory resources and provide fast throughput in both directions.

r-cran-spatstat.linnet

linear networks functionality of the 'spatstat' family of GNU R

Defines types of spatial data on a linear network and provides functionality for geometrical operations, data analysis and modelling of data on a linear network, in the 'spatstat' family of packages. Contains definitions and support for linear networks, including creation of networks, geometrical measurements, topological connectivity, geometrical operations such as inserting and deleting vertices, intersecting a network with another object, and interactive editing of networks. Data types defined on a network include point patterns, pixel images, functions, and tessellations. Exploratory methods include kernel estimation of intensity on a network, K- functions and pair correlation functions on a network, simulation envelopes, nearest neighbour distance and empty space distance, relative risk estimation with cross-validated bandwidth selection. Formal hypothesis tests of random pattern (chi-squared, Kolmogorov- Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford, Dao-Genton, two- stage Monte Carlo) and tests for covariate effects (Cox-Berman-Waller- Lawson, Kolmogorov-Smirnov, ANOVA) are also supported. Parametric models can be fitted to point pattern data using the function lppm() similar to glm(). Only Poisson models are implemented so far. Models may involve dependence on covariates and dependence on marks. Models are fitted by maximum likelihood. Fitted point process models can be simulated, automatically. Formal hypothesis tests of a fitted model are supported (likelihood ratio test, analysis of deviance, Monte Carlo tests) along with basic tools for model selection (stepwise(), AIC()) and variable selection (sdr). Tools for validating the fitted model include simulation envelopes, residuals, residual plots and Q-Q plots, leverage and influence diagnostics, partial residuals, and added variable plots. Random point patterns on a network can be generated using a variety of models.

rime-data-combo-pinyin

Rime Input Method Engine schema data - Combo Pinyin

RIME is the acronym of Rime Input Method Engine.