https://mugglejinx.r-universe.devRecent package updates in mugglejinxR-universehttps://github.com/mugglejinx.pnghttps://mugglejinx.r-universe.devTue, 13 Oct 2026 11:50:16 GMTxiaotian.jin@kaust.edu.sa (Xiaotian Jin)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" <doi:10.48550/arXiv.2602.23987>.https://github.com/r-universe/davidbolin/actions/runs/38396441038Tue, 13 Oct 2026 11:50:16 GMTngme21.0.1successhttps://davidbolin.r-universe.devhttps://github.com/davidbolin/ngme2ngme2-documentation.Rmdngme2-documentation.htmlngme2 Documentation2026-09-24 01:02:472026-09-24 01:02:47