# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "ngme2" in publications use:' type: software license: GPL-3.0-or-later title: 'ngme2: Linear Latent Non-Gaussian Models with Flexible Distributions' version: 0.9.8 doi: 10.32614/CRAN.package.ngme2 abstract: Fits and analyzes linear latent non-Gaussian models for temporal, spatial, and space-time data. The package provides model components for autoregressive and Ornstein-Uhlenbeck processes, random walks, Matern fields based on stochastic partial differential equations, separable and non-separable space-time models, graph-based Matern models, bivariate type-G fields, and user-defined sparse operators. Latent fields and observation models can use Gaussian and non-Gaussian noise distributions, including normal inverse Gaussian, generalized asymmetric Laplace, and skew-t distributions. Functions are included for simulation, likelihood-based estimation, prediction, cross-validation, convergence diagnostics, stochastic gradient optimization, batch-means confidence intervals, and posterior-like sampling. The modeling framework is described in Bolin, Jin, Simas and Wallin (2026) "A Unified and Computationally Efficient Non-Gaussian Statistical Modeling Framework" . authors: - family-names: Bolin given-names: David email: davidbolin@gmail.com - family-names: Jin given-names: Xiaotian email: xiaotian.jin@kaust.edu.sa - family-names: Simas given-names: Alexandre email: alexandre.impa@gmail.com - family-names: Wallin given-names: Jonas email: jonas.wallin81@gmail.com repository: https://davidbolin.r-universe.dev repository-code: https://github.com/davidbolin/ngme2 commit: 004649a204cc5da4955d5bbfe699649a1d75b106 url: https://davidbolin.github.io/ngme2/ date-released: '2026-05-19' contact: - family-names: Jin given-names: Xiaotian email: xiaotian.jin@kaust.edu.sa