{ "_id": "6a251def4b233be19838f1e0", "Package": "ARCokrig", "Type": "Package", "Title": "Autoregressive Cokriging Models for Multifidelity Codes", "Version": "0.1.3", "Date": "2025-10-18", "Authors@R": "c(person(\"Pulong\", \"Ma\", role=c(\"aut\", \"cre\"), email=\"mpulong@gmail.com\"))", "Maintainer": "Pulong Ma ", "Description": "For emulating multifidelity computer models. The major\nmethods include univariate autoregressive cokriging and\nmultivariate autoregressive cokriging. The autoregressive\ncokriging methods are implemented for both hierarchically\nnested design and non-nested design. For hierarchically nested\ndesign, the model parameters are estimated via standard\noptimization algorithms; For non-nested design, the model\nparameters are estimated via Monte Carlo\nexpectation-maximization (MCEM) algorithms. In both cases, the\npriors are chosen such that the posterior distributions are\nproper. Notice that the uniform priors on range parameters in\nthe correlation function lead to improper posteriors. This\nshould be avoided when Bayesian analysis is adopted. The\ndevelopment of objective priors for autoregressive cokriging\nmodels can be found in Pulong Ma (2020)\n. The development of the multivariate\nautoregressive cokriging models with possibly non-nested design\ncan be found in Pulong Ma, Georgios Karagiannis, Bledar A\nKonomi, Taylor G Asher, Gabriel R Toro, and Andrew T Cox (2022)\n.", "License": "GPL (>= 2)", "Encoding": "UTF-8", "URL": "https://github.com/pulongma/ARCokrig/issues", "RoxygenNote": "6.1.1", "Repository": "https://pulongma.r-universe.dev", "Date/Publication": "2025-10-20 04:38:18 UTC", "RemoteUrl": "https://github.com/pulongma/arcokrig", "RemoteRef": "HEAD", "RemoteSha": "071ba83b43ad4fb8c1732f3d480b52cbf06095c2", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-06-07 07:19:50 UTC", "User": "root" }, "Author": "Pulong Ma [aut, cre]", "MD5sum": "32baa84da563bd1db4bc642c36116928", "_user": "pulongma", "_type": "src", "_file": "ARCokrig_0.1.3.tar.gz", "_fileid": "5a8e01c6946a2cabc2f27ea3ac7b1c07eacf57aacd41992b6e9449d2f92e25a8", "_filesize": 199741, "_sha256": 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"_commit": { "id": "071ba83b43ad4fb8c1732f3d480b52cbf06095c2", "author": "Pulong Ma ", "committer": "Pulong Ma ", "message": "updated description\n", "time": 1760935098 }, "_maintainer": { "name": "Pulong Ma", "email": "mpulong@gmail.com", "login": "pulongma", "description": "", "uuid": 49072765 }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 3.5.0", "role": "Depends" }, { "package": "Rcpp", "role": "LinkingTo" }, { "package": "RcppArmadillo", "role": "LinkingTo" }, { "package": "RcppEigen", "role": "LinkingTo" }, { "package": "Rcpp", "role": "Imports" }, { "package": "mvtnorm", "version": ">= 1.0-10", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "methods", "role": "Imports" }, { "package": "ggplot2", "role": "Imports" } ], "_owner": "pulongma", "_selfowned": true, "_usedby": 0, "_updates": [ { "week": "2025-43", "n": 2 } ], "_tags": [], "_stars": 2, "_contributors": [ { "user": "pulongma", "count": 29, "uuid": 49072765 } ], 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