{ "_id": "6ace2e91a14063b82c3b0e53", "Package": "ngme2", "Type": "Package", "Title": "Linear Latent Non-Gaussian Models with Flexible Distributions", "Version": "1.0.1", "Authors@R": "c(\nperson(\"David\", \"Bolin\", email = \"davidbolin@gmail.com\", role = c(\"aut\", \"cph\")),\nperson(\"Xiaotian\", \"Jin\", email = \"xiaotian.jin@kaust.edu.sa\", role =c(\"aut\", \"cre\")),\nperson(\"Alexandre\", \"Simas\", email = \"alexandre.impa@gmail.com\", role = \"aut\"),\nperson(\"Jonas\", \"Wallin\", email = \"jonas.wallin81@gmail.com\", role = \"aut\"),\nperson(\"Andrea V.\", \"Rocha\", email = \"dearocha@yahoo.com\", role = \"ctb\", comment = \"contributed to many vignettes and examples\"),\nperson(\"Timothy A.\", \"Davis\", role = c(\"ctb\", \"cph\"), comment = \"SuiteSparse components\"),\nperson(\"Patrick R.\", \"Amestoy\", role = c(\"ctb\", \"cph\"), comment = \"SuiteSparse AMD and CAMD components\"),\nperson(\"Iain S.\", \"Duff\", role = c(\"ctb\", \"cph\"), comment = \"SuiteSparse AMD and CAMD components\"),\nperson(\"John K.\", \"Reid\", role = c(\"ctb\", \"cph\"), comment = \"SuiteSparse AMD-derived code\"),\nperson(\"Yanqing\", \"Chen\", role = c(\"ctb\", \"cph\"), comment = \"SuiteSparse CAMD components\"),\nperson(\"Sivasankaran\", \"Rajamanickam\", role = c(\"ctb\", \"cph\"), comment = \"SuiteSparse CCOLAMD components\"),\nperson(\"Stefan\", \"Larimore\", role = c(\"ctb\", \"cph\"), comment = \"SuiteSparse CCOLAMD and COLAMD components\"),\nperson(\"William W.\", \"Hager\", role = c(\"ctb\", \"cph\"), comment = \"SuiteSparse CHOLMOD Modify components\"),\nperson(\"University of Florida\", role = \"cph\", comment = \"SuiteSparse CHOLMOD and CCOLAMD components\"),\nperson(\"Regents of the University of Minnesota\", role = \"cph\", comment = \"METIS/GKlib components bundled with SuiteSparse\"),\nperson(\"Free Software Foundation, Inc.\", role = \"cph\", comment = \"GKlib regex/getopt code bundled with SuiteSparse\"),\nperson(\"Makoto\", \"Matsumoto\", role = c(\"ctb\", \"cph\"), comment = \"Mersenne Twister code bundled with SuiteSparse\"),\nperson(\"Takuji\", \"Nishimura\", role = c(\"ctb\", \"cph\"), comment = \"Mersenne Twister code bundled with SuiteSparse\"),\nperson(\"Alexander\", \"Chemeris\", role = c(\"ctb\", \"cph\"), comment = \"MS integer headers bundled with SuiteSparse\"))", "Maintainer": "Xiaotian Jin ", "Description": "Fits and analyzes linear latent non-Gaussian models for\ntemporal, spatial, and space-time data. The package provides\nmodel components for autoregressive and Ornstein-Uhlenbeck\nprocesses, random walks, Matern fields based on stochastic\npartial differential equations, separable and non-separable\nspace-time models, graph-based Matern models, bivariate type-G\nfields, and user-defined sparse operators. Latent fields and\nobservation models can use Gaussian and non-Gaussian noise\ndistributions, including normal inverse Gaussian, generalized\nasymmetric Laplace, and skew-t distributions. Functions are\nincluded for simulation, likelihood-based estimation,\nprediction, cross-validation, convergence diagnostics,\nstochastic gradient optimization, batch-means confidence\nintervals, and posterior-like sampling. The modeling framework\nis described in Bolin, Jin, Simas and Wallin (2026) \"A Unified\nand Computationally Efficient Non-Gaussian Statistical Modeling\nFramework\" .", "License": "GPL (>= 3)", "Encoding": "UTF-8", "LazyData": "true", "Additional_repositories": "https://inla.r-inla-download.org/R/testing", "SystemRequirements": "GNU make", "VignetteBuilder": "knitr", "Config/testthat/edition": "3", "URL": "https://davidbolin.github.io/ngme2/,\nhttps://github.com/davidbolin/ngme2", "BugReports": "https://github.com/davidbolin/ngme2/issues", "Copyright": "The R package and code, and the main programs, were written\nby and are Copyright by David Bolin, Xiaotian Jin, Alexandre\nSimas, and Jonas Wallin, and are redistributable under the GNU\nPublic License, version 3 or later. The package also includes\nbundled SuiteSparse components. For details see\ninst/COPYRIGHTS.", "Config/roxygen2/version": "8.1.0", "Config/pak/sysreqs": "libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev\nmake libssl-dev libproj-dev libsqlite3-dev libudunits2-dev", "Repository": "https://davidbolin.r-universe.dev", "Date/Publication": "2026-10-13 11:50:16 UTC", "RemoteUrl": "https://github.com/davidbolin/ngme2", "RemoteRef": "HEAD", "RemoteSha": "11b2a96ee704720abcb4801fb76efae5cb778d7f", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-10-13 12:27:40 UTC", "User": "root" }, "Author": "David Bolin [aut, cph],\nXiaotian Jin [aut, cre],\nAlexandre Simas [aut],\nJonas Wallin [aut],\nAndrea V. Rocha [ctb] (contributed to many vignettes and examples),\nTimothy A. Davis [ctb, cph] (SuiteSparse components),\nPatrick R. Amestoy [ctb, cph] (SuiteSparse AMD and CAMD components),\nIain S. Duff [ctb, cph] (SuiteSparse AMD and CAMD components),\nJohn K. 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Ensures that paired observations (e.g., u_wind and v_wind at same location) are kept together in the same fold", "topics": [ "create_paired_cv_splits" ] }, { "page": "cross_validation", "title": "Compute the cross-validation for the ngme model Perform cross-validation for ngme model first into sub_groups (a list of target, and train data)", "topics": [ "cross_validation" ] }, { "page": "f", "title": "Specifying a latent process model (wrapper function for each model)", "topics": [ "f" ] }, { "page": "gal", "title": "The Generalized Asymmetric Laplace (GAL) Distribution", "topics": [ "dgal", "gal", "pgal", "qgal", "rgal" ] }, { "page": "generic", "title": "Generic precision matrix operator", "topics": [ "generic" ] }, { "page": "generic_ns", "title": "Non-stationary precision matrix operator with custom matrix combinations", "topics": [ "generic_ns" ] }, { "page": "get_data_from_formula", "title": "Extracts design matrix from a formula and data.", "topics": [ "get_data_from_formula" ] }, { "page": "get_parameter_distance", "title": "Calculate parameter distance from true values", "topics": [ "get_parameter_distance" ] }, { "page": "get_trace_trajectories", "title": "Get trace trajectories from ngme fitting", "topics": [ "get_trace_trajectories" ] }, { "page": "get_trajectories", "title": "get the trajectories of parameters of the model", "topics": [ "get_trajectories" ] }, { "page": "gig", "title": "The Generalised Inverse-Gaussian (GIG) Distribution", "topics": [ "dgig", "gig", "pgig", "qgig", "rgig" ] }, { "page": "group_cv", "title": "Leave-group-out cross-validation", "topics": [ "group_cv" ] }, { "page": "ig", "title": "The Inverse-Gaussian (IG) Distribution", "topics": [ "dig", "ig", "pig", "qig", "rig" ] }, { "page": "igam", "title": "The Inverse-Gamma (IGam) Distribution", "topics": [ "digam", "igam", "pigam", "qigam", "rigam" ] }, { "page": "iid", "title": "ngme iid model specification", "topics": [ "iid" ] }, { "page": "make_time_series_cv_index", "title": 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