International audienceDRlib is a new C++ library for modeling, simulation and inference of marked point processes. The aim is to complete existing tools such as the spatstat library in R [1] with reliable and efficient C++ code allowing intensive Bayesian MCMC based inference for marked Gibbs point processes. This proposal has its roots in the MPPLIB library developed mainly by [2] where exact simulation algorithms for marked point processes were translated into C++ in order to perform massive simulation studies. The current version of the library is freely available at the following address https://gitlab.univ-lorraine.fr/labos/iecl/drlib
Description This package contains functions to perform Bayesian inference using posterior simulation...
libDAI is a free and open source C++ library (licensed under GPL) that provides implementations of v...
We present MIST, the Molecular Integration Simulation Toolkit, a lightweight and efficient software ...
AbstractGeostatistical simulation methods allow simulation of spatial structures and patterns based ...
This report documents MPPLIB, a C++ library for marked point processes, and illustrates its use by m...
Some recently proposed exact simulation methods are extended to the case of marked point processes. ...
The librjmcmc is an open source C++ library that solves optimization problems using a stoc...
This C++ software implements the Dynamic Mean Field (DMF) model of brain dynamics, originally publis...
International audienceDESP-C++ is a C++ discrete-event random simulation engine that has been design...
This paper describes the software package libDAI, a free open source C++ library that provides imple...
The simmer package brings discrete-event simulation to R. It is designed as a generic yet powerful p...
This repository contains C++ code, simulated datasets, an R-script for data analysis and a Mathemati...
A comprehensive overview of Monte Carlo simulation that explores the latest topics, techniques, and ...
International audienceTo meet the simulation needs of its LOCA RandD program, the IRSN is developing...
Simulation is an effective tool for analyzing probability models as well as for facilitating underst...
Description This package contains functions to perform Bayesian inference using posterior simulation...
libDAI is a free and open source C++ library (licensed under GPL) that provides implementations of v...
We present MIST, the Molecular Integration Simulation Toolkit, a lightweight and efficient software ...
AbstractGeostatistical simulation methods allow simulation of spatial structures and patterns based ...
This report documents MPPLIB, a C++ library for marked point processes, and illustrates its use by m...
Some recently proposed exact simulation methods are extended to the case of marked point processes. ...
The librjmcmc is an open source C++ library that solves optimization problems using a stoc...
This C++ software implements the Dynamic Mean Field (DMF) model of brain dynamics, originally publis...
International audienceDESP-C++ is a C++ discrete-event random simulation engine that has been design...
This paper describes the software package libDAI, a free open source C++ library that provides imple...
The simmer package brings discrete-event simulation to R. It is designed as a generic yet powerful p...
This repository contains C++ code, simulated datasets, an R-script for data analysis and a Mathemati...
A comprehensive overview of Monte Carlo simulation that explores the latest topics, techniques, and ...
International audienceTo meet the simulation needs of its LOCA RandD program, the IRSN is developing...
Simulation is an effective tool for analyzing probability models as well as for facilitating underst...
Description This package contains functions to perform Bayesian inference using posterior simulation...
libDAI is a free and open source C++ library (licensed under GPL) that provides implementations of v...
We present MIST, the Molecular Integration Simulation Toolkit, a lightweight and efficient software ...