{"Package":"eltr","Title":"Utilise Catastrophe Model Event Loss Table Outputs","Version":"0.1.0","Authors@R":"\nperson(given = \"Randhir\",\nfamily = \"Bilkhu\",\nrole = c(\"aut\", \"cre\"),\nemail = \"rbilkhu7@gmail.com\")","Description":"Provides a tool to run Monte Carlo simulation of catastrophe model event loss tables, using a Poisson frequency and Beta severity distribution.","License":"LGPL (>= 2.1)","Encoding":"UTF-8","LazyData":"true","RoxygenNote":"7.1.1","Suggests":"testthat, covr, knitr, rmarkdown","Imports":"data.table","VignetteBuilder":"knitr","Depends":"R (>= 2.10)","URL":"https://randhirbilkhu.github.io/eltr/,\nhttps://github.com/RandhirBilkhu/eltr","BugReports":"https://github.com/RandhirBilkhu/eltr/issues","NeedsCompilation":"no","Packaged":"2021-01-13 20:17:23 UTC; randz","Author":"Randhir Bilkhu [aut, cre]","Maintainer":"Randhir Bilkhu ","Repository":"CRAN","Date/Publication":"2021-01-16 10:20:02 UTC","repoType":"cran","tarballUrl":"ftp://cran.r-project.org/pub/R/src/contrib/eltr_0.1.0.tar.gz","jsonAuthors":[{"name":"Randhir Bilkhu","email":"rbilkhu7@gmail.com","maintainer":true}],"readme":"\n\n\n# eltr

\n\n\n\n[![Lifecycle:\nexperimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://www.tidyverse.org/lifecycle/#experimental)\n[![R build\nstatus](https://github.com/RandhirBilkhu/eltr/workflows/R-CMD-check/badge.svg)](https://github.com/RandhirBilkhu/eltr/actions)\n[![Codecov test\ncoverage](https://codecov.io/gh/RandhirBilkhu/eltr/branch/main/graph/badge.svg)](https://codecov.io/gh/RandhirBilkhu/eltr?branch=main)\n\n\nThe goal of eltr is to help analysis of catastrophe model outputs.\n\n## Installation\n\nYou can install the development version from\n[GitHub](https://github.com/RandhirBilkhu/eltr) with:\n\n``` r\n# install.packages(\"devtools\")\ndevtools::install_github(\"RandhirBilkhu/eltr\")\n```\n\n## Example\n\nThis is a basic example which shows you how to solve a common problem:\n\n``` r\nlibrary(eltr)\n## load a rawelt file\n\nraw_elt <- eltr::example_elt\n\nraw_elt\n#> id rate mean sdevi sdevc exp\n#> 1: 1 0.10 500 500 200 100000\n#> 2: 2 0.10 200 400 100 5000\n#> 3: 3 0.20 300 200 400 40000\n#> 4: 4 0.10 100 300 500 4000\n#> 5: 5 0.20 500 100 200 2000\n#> 6: 6 0.25 200 200 500 50000\n#> 7: 7 0.01 1000 500 600 100000\n#> 8: 8 0.12 250 300 100 5000\n#> 9: 9 0.14 1000 500 200 6000\n#> 10: 10 0.00 10000 1000 500 1000000\n\n## paramterise elt\n\nelt <- create_elt(raw_elt, ann_rate=\"rate\", mu=\"mean\", sdev_i = \"sdevi\" , sdev_c = \"sdevc\", expval = \"exp\")\n\n## generate a YLT \n\nylt <- create_ylt(elt, sims=10 ,ann_rate = \"rate\" , event_id = \"id\", expval = \"exp\" , mu =\"mean\")\n\nylt\n#> Year Loss Event\n#> 1: 1 0.000000e+00 None\n#> 2: 2 2.963659e+02 5\n#> 3: 3 4.353146e-09 6\n#> 4: 4 3.086963e+02 8\n#> 5: 4 3.337206e+02 3\n#> 6: 4 1.429257e-03 2\n#> 7: 5 0.000000e+00 None\n#> 8: 6 5.525234e+00 3\n#> 9: 6 4.838321e+00 8\n#> 10: 6 8.642469e+02 7\n#> 11: 7 4.338468e+02 3\n#> 12: 7 1.357392e+03 2\n#> 13: 7 1.317510e+02 1\n#> 14: 8 1.204985e+03 5\n#> 15: 8 4.033199e+02 8\n#> 16: 9 6.361959e-02 6\n#> 17: 10 0.000000e+00 None\n\n### calculate AAL and OEP\n\nann <-ylt[ ,Loss :=sum(Loss) , by=Year]\n\nep <- create_oep_curve(ann , y= \"Year\", z=\"Loss\")\n```\n\nHurricane\nicon icon by Icons8","jobInfo":{"package":"eltr","version":"0.1.0","parsingStatus":"success","parserVersion":1,"parsedAt":"2021-01-16T11:29:54+0000"}}

Description

Arguments

eltr functions