{ "_id": "6a23e06d530b9bc726be7a03", "Package": "trawl", "Type": "Package", "Title": "Estimation and Simulation of Trawl Processes", "Version": "0.2.2", "Author": "Almut E. D. Veraart", "Maintainer": "Almut E. D. Veraart ", "Description": "Contains R functions for simulating and estimating\ninteger-valued trawl processes as described in the article\nVeraart (2019),\"Modeling, simulation and inference for\nmultivariate time series of counts using trawl processes\",\nJournal of Multivariate Analysis, 169, pages 110-129,\n and for simulating random\nvectors from the bivariate negative binomial and the bi- and\ntrivariate logarithmic series distributions.", "License": "GPL-3", "Encoding": "UTF-8", "RoxygenNote": "7.1.1", "VignetteBuilder": "knitr", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-06 08:52:12 UTC", "User": "root" }, "Config/pak/sysreqs": "cmake make libicu-dev libssl-dev", "Repository": "https://almutveraart.r-universe.dev", "Date/Publication": "2021-02-22 16:30:02 UTC", "RemoteUrl": "https://github.com/cran/trawl", "RemoteRef": "HEAD", "RemoteSha": "4013b1fa141f3ae3c0c13447488e45125a675b9c", "MD5sum": "a7a6a70c568c54832ab3f9d50f68814e", "_user": "almutveraart", "_type": "src", "_file": "trawl_0.2.2.tar.gz", "_fileid": "e00640e5bb856de49dda3471f46b0253cb53912df9786e2b8111adf6f8ff3bc1", "_filesize": 1433539, "_sha256": "e00640e5bb856de49dda3471f46b0253cb53912df9786e2b8111adf6f8ff3bc1", "_created": "2026-06-06T08:52:12.000Z", "_published": "2026-06-06T08:55:09.673Z", "_distro": "noble", "_jobs": [ { "job": 79865581642, "time": 148, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7453020783" }, { "job": 79865581655, "time": 146, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7453020562" }, { "job": 79865581625, "time": 122, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "OK", "artifact": "7453016322" }, { "job": 79865581630, "time": 134, "config": "macos-release-arm64", "r": "4.6.0", "check": "OK", "artifact": "7453016294" }, { "job": 79865367828, "time": 229, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7453003641" }, { "job": 79865581635, "time": 128, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7453018619" }, { "job": 79865581651, "time": 94, "config": "windows-devel", "r": "4.7.0", "check": "OK", "artifact": "7453014655" }, { "job": 79865581629, "time": 79, "config": "windows-oldrel", "r": "4.5.3", "check": "OK", "artifact": "7453013137" }, { "job": 79865581628, "time": 87, "config": "windows-release", "r": "4.6.0", "check": "OK", "artifact": "7453013777" } ], "_buildurl": "https://github.com/r-universe/almutveraart/actions/runs/27057845597", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/trawl", "_commit": { "id": "4013b1fa141f3ae3c0c13447488e45125a675b9c", "author": "Almut E. 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the bivariate logarithmic series distribution", "topics": [ "BivLSD_Cor" ] }, { "page": "BivLSD_Cov", "title": "Computes the covariance of the components of a bivariate vector following the bivariate logarithmic series distribution", "topics": [ "BivLSD_Cov" ] }, { "page": "BivModLSD_Cor", "title": "Computes the correlation of the components of a bivariate vector following the bivariate modified logarithmic series distribution", "topics": [ "BivModLSD_Cor" ] }, { "page": "BivModLSD_Cov", "title": "Computes the covariance of the components of a bivariate vector following the bivariate modified logarithmic series distribution", "topics": [ "BivModLSD_Cov" ] }, { "page": "fit_DExptrawl", "title": "Fits the trawl function consisting of the weighted sum of two exponential functions", "topics": [ "fit_DExptrawl" ] }, { "page": "fit_Exptrawl", "title": "Fits an exponential trawl function to equidistant time series data", "topics": [ "fit_Exptrawl" ] }, { "page": "fit_LMtrawl", "title": "Fits a long memory trawl function to equidistant univariate time series data", "topics": [ "fit_LMtrawl" ] }, { "page": "fit_marginalNB", "title": "Fist a negative binomial distribution as marginal law", "topics": [ "fit_marginalNB" ] }, { "page": "fit_marginalPoisson", "title": "Fits a Poisson distribution as marginal law", "topics": [ "fit_marginalPoisson" ] }, { "page": "fit_supIGtrawl", "title": "Fits a supIG trawl function to equidistant univariate time series data", "topics": [ "fit_supIGtrawl" ] }, { "page": "fit_trawl_intersection", "title": "Finds the intersection of two trawl sets", "topics": [ "fit_trawl_intersection" ] }, { "page": "fit_trawl_intersection_Exp", "title": "Finds the intersection of two exponential trawl sets", "topics": [ "fit_trawl_intersection_Exp" ] }, { "page": "fit_trawl_intersection_LM", "title": "Finds the intersection of two long memory (LM) trawl sets", "topics": [ "fit_trawl_intersection_LM" ] }, { "page": "LSD_Mean", "title": "Computes the mean of the 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