{ "_id": "6a102e84acfb0bcc41c944da", "Package": "MTS", "Type": "Package", "Title": "All-Purpose Toolkit for Analyzing Multivariate Time Series (MTS)\nand Estimating Multivariate Volatility Models", "Version": "1.2.1", "Date": "2022-04-02", "Maintainer": "Ruey S. Tsay ", "Author": "Ruey S. Tsay [aut, cre], David Wood [aut], Jon Lachmann [ctb]", "Description": "Multivariate Time Series (MTS) is a general package for\nanalyzing multivariate linear time series and estimating\nmultivariate volatility models. It also handles factor models,\nconstrained factor models, asymptotic principal component\nanalysis commonly used in finance and econometrics, and\nprincipal volatility component analysis. (a) For the\nmultivariate linear time series analysis, the package performs\nmodel specification, estimation, model checking, and prediction\nfor many widely used models, including vector AR models, vector\nMA models, vector ARMA models, seasonal vector ARMA models, VAR\nmodels with exogenous variables, multivariate regression models\nwith time series errors, augmented VAR models, and\nError-correction VAR models for co-integrated time series. For\nmodel specification, the package performs structural\nspecification to overcome the difficulties of identifiability\nof VARMA models. The methods used for structural specification\ninclude Kronecker indices and Scalar Component Models. (b) For\nmultivariate volatility modeling, the MTS package handles\nseveral commonly used models, including multivariate\nexponentially weighted moving-average volatility, Cholesky\ndecomposition volatility models, dynamic conditional\ncorrelation (DCC) models, copula-based volatility models, and\nlow-dimensional BEKK models. The package also considers\nmultiple tests for conditional heteroscedasticity, including\nrank-based statistics. (c) Finally, the MTS package also\nperforms forecasting using diffusion index , transfer function\nanalysis, Bayesian estimation of VAR models, and multivariate\ntime series analysis with missing values.Users can also use the\npackage to simulate VARMA models, to compute impulse response\nfunctions of a fitted VARMA model, and to calculate theoretical\ncross-covariance matrices of a given VARMA model.", "License": "Artistic License 2.0", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-22 10:16:16 UTC", "User": "root" }, "RoxygenNote": "7.1.1", "Encoding": "UTF-8", "Repository": "https://rtsay1.r-universe.dev", "Date/Publication": "2022-04-11 13:32:30 UTC", "RemoteUrl": "https://github.com/cran/MTS", "RemoteRef": "HEAD", "RemoteSha": "a78f81c43d0ac4d54b2b58c0b427c5d7286dd89e", "MD5sum": "e782e43867ac1e49fb1a4a756823fba8", "_user": "rtsay1", "_type": "src", "_file": "MTS_1.2.1.tar.gz", "_fileid": "f7fbd1dfe423a5abaa8ce548bebeb3d76f697e8c120d2d53e77768030883b9c8", "_filesize": 422500, "_sha256": "f7fbd1dfe423a5abaa8ce548bebeb3d76f697e8c120d2d53e77768030883b9c8", "_created": "2026-05-22T10:16:16.000Z", "_published": "2026-05-22T10:23:00.641Z", "_distro": "noble", "_jobs": [ { "job": 77360383566, "time": 176, "config": "linux-devel-arm64", "r": "4.7.0", "check": "OK", "artifact": "7158202261" }, { "job": 77360383532, "time": 167, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7158200048" }, { "job": 77360383570, "time": 170, "config": "linux-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7158200327" }, { "job": 77360383497, "time": 161, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7158198057" }, { "job": 77360383577, "time": 117, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7158185171" }, { "job": 77360383594, "time": 330, "config": "macos-oldrel-x86_64", "r": "4.5.3", "check": "OK", "artifact": "7158245829" }, { "job": 77360383545, "time": 139, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7158191530" }, { "job": 77360383536, "time": 342, "config": "macos-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7158250716" }, { "job": 77359939657, "time": 181, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7158150532" }, { "job": 77360383479, "time": 103, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7158181591" }, { "job": 77360383585, "time": 166, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7158199582" }, { "job": 77360383487, "time": 191, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7158207447" }, { "job": 77360383562, "time": 149, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7158194842" } ], "_buildurl": "https://github.com/r-universe/rtsay1/actions/runs/26281886780", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/MTS", "_commit": { "id": "a78f81c43d0ac4d54b2b58c0b427c5d7286dd89e", "author": "Ruey S. 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