{ "_id": "6a13f614acfb0bcc41d33283", "Package": "geppe", "Type": "Package", "Title": "Generalised Exponential Poisson and Poisson Exponential\nDistributions", "Version": "1.1", "Date": "2026-03-26", "Authors@R": "c( person(\"Michail\", \"Tsagris\", role = c(\"aut\", \"cre\"), email = \"mtsagris@uoc.gr\"), \nperson(\"Sofia\", \"Piperaki\", role = c(\"aut\"), email = \"sofiapip23@gmail.com\") )", "Author": "Michail Tsagris [aut, cre], Sofia Piperaki [aut]", "Maintainer": "Michail Tsagris ", "Description": "Maximum likelihood estimation, random values generation,\ndensity computation and other functions for the\nexponential-Poisson generalised exponential-Poisson and\nPoisson-exponential distributions. References include:\nRodrigues G. C., Louzada F. and Ramos P. L. (2018).\n\"Poisson-exponential distribution: different methods of\nestimation\". Journal of Applied Statistics, 45(1): 128--144.\n. Louzada F., Ramos, P. L.\nand Ferreira, H. P. (2020). \"Exponential-Poisson distribution:\nestimation and applications to rainfall and aircraft data with\nzero occurrence\". Communications in Statistics--Simulation and\nComputation, 49(4): 1024--1043.\n. Barreto-Souza W. and\nCribari-Neto F. (2009). \"A generalization of the\nexponential-Poisson distribution\". Statistics and Probability\nLetters, 79(24): 2493--2500. .", "License": "GPL (>= 2)", "NeedsCompilation": "no", "Packaged": { "Date": "2026-05-25 07:08:46 UTC", "User": "root" }, "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-03-26 15:46:48 UTC", "RemoteUrl": "https://github.com/cran/geppe", "RemoteRef": "HEAD", "RemoteSha": "a6e230f1e5e0ce538152c611538525ff3cb7f684", "MD5sum": "fe50694b9356a1ea2819e5177240ee43", "_user": "cran", "_type": "src", "_file": "geppe_1.1.tar.gz", "_fileid": "a3ed2053534d8a3bcd1c023ff32d5f760feccec45c27553963d9771f57de6297", "_filesize": 183631, "_sha256": "a3ed2053534d8a3bcd1c023ff32d5f760feccec45c27553963d9771f57de6297", "_created": "2026-05-25T07:08:46.000Z", "_published": "2026-05-25T07:11:16.322Z", "_distro": "noble", "_jobs": [ { "job": 77671402462, "time": 114, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7193425422" }, { "job": 77671402482, "time": 115, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7193425657" }, { "job": 77671057606, "time": 190, "config": "source", "r": "4.6.0", "check": "OK", "artifact": "7193398373" }, { "job": 77671402454, "time": 118, "config": "wasm-release", "r": "4.6.0", "check": "OK", "artifact": "7193426090" } ], "_buildurl": "https://github.com/r-universe/cran/actions/runs/26388047749", "_status": "success", "_host": "GitHub-Actions", "_upstream": "https://github.com/cran/geppe", "_commit": { "id": "a6e230f1e5e0ce538152c611538525ff3cb7f684", "author": "Michail Tsagris ", "committer": "cran-robot ", "message": "version 1.1\n", "time": 1774540008 }, "_maintainer": { "name": "Michail Tsagris", "email": "mtsagris@uoc.gr" }, "_registered": true, "_dependencies": [ { "package": "R", "version": ">= 4.0", "role": "Depends" }, { "package": "rangen", "role": "Imports" }, { "package": "stats", "role": "Imports" }, { "package": "Rfast", "role": "Suggests" }, { "package": "Rfast2", "role": "Suggests" } ], "_owner": "cran", "_selfowned": false, "_usedby": 1, "_updates": [ { "week": "2026-13", "n": 1 } ], "_tags": [ { "name": "1.1", "date": "2026-03-26" } ], "_stars": 0, "_userbio": { "uuid": 6899542, "type": "organization", "name": "cran", "description": "Unofficial read-only mirror of all CRAN R packages" }, "_downloads": { "count": 567, "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/geppe" }, "_searchresults": 0, "_rbuild": "4.6.0", "_assets": [ "extra/citation.cff", "extra/citation.html", "extra/citation.json", "extra/citation.txt", "extra/contents.json", "extra/geppe.html", "manual.pdf" ], "_realowner": "cran", "_cranurl": false, "_releases": [ { "version": "1.0", "date": "2024-06-24" }, { "version": "1.1", "date": "2026-03-26" } ], "_exports": [ "depois", "dgep", "dpe", "epois.mle", "gep.mle", "pe.mle", "pepois", "pgep", "ppe", "qepois", "qgep", "qpe", "repois", "rgep", "rpe" ], "_help": [ { "page": "geppe-package", "title": "Generalised Exponential Poisson and Poisson Exponential Distributions", "topics": [ "geppe-package" ] }, { "page": "dgep", "title": "Density computation of the GEP, EP and PE distributions", "topics": [ "depois", "dgep", "dpe" ] }, { "page": "pgep", "title": "Distribution function of the GEP, EP and PE distributions", "topics": [ "pepois", "pgep", "ppe" ] }, { "page": "gep.mle", "title": "Maximum likelihood estimation of the GEP, EP and PE distributions", "topics": [ "epois.mle", "gep.mle", "pe.mle" ] }, { "page": "qgep", "title": "Quantile function of the GEP, EP and PE distributions", "topics": [ "qepois", "qgep", "qpe" ] }, { "page": "rgep", "title": "Random values generation from the GEP, EP and PE distributions", "topics": [ "repois", "rgep", "rpe" ] } ], "_rundeps": [ "rangen", "Rcpp", "RcppArmadillo", "zigg" ], "_score": 1.4771212547196624, "_indexed": true, "_nocasepkg": "geppe", "_universes": [ "cran" ], "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "1.1", "date": "2026-05-25T07:10:49.000Z", "distro": "noble", "commit": "a6e230f1e5e0ce538152c611538525ff3cb7f684", "fileid": "2b503b778cc283e4fd0d079394c89f2497d3122a66df62dcf57e257fcc4431c7", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26388047749" }, { "r": "4.6.0", "os": "linux", "version": "1.1", "date": "2026-05-25T07:10:49.000Z", "distro": "noble", "commit": "a6e230f1e5e0ce538152c611538525ff3cb7f684", "fileid": "39ad06a08a2eafe05728af9095730311299935bb576883f603cfe5a6c96d7611", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/26388047749" }, { "r": "4.6.0", "os": "wasm", "version": "1.1", "date": "2026-05-25T07:11:03.000Z", "commit": "a6e230f1e5e0ce538152c611538525ff3cb7f684", "fileid": "8327e0d94dcebad3bcb3c81c1dac32c493e30579c0f3b696688a12869b6f5dad", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/26388047749" } ] }