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The goal of eltr is to help analysis of catastrophe model outputs.
You can install the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("RandhirBilkhu/eltr")This is a basic example which shows you how to solve a common problem:
library(eltr)
## load a rawelt file
raw_elt <- eltr::example_elt
raw_elt
#> id rate mean sdevi sdevc exp
#> 1: 1 0.10 500 500 200 100000
#> 2: 2 0.10 200 400 100 5000
#> 3: 3 0.20 300 200 400 40000
#> 4: 4 0.10 100 300 500 4000
#> 5: 5 0.20 500 100 200 2000
#> 6: 6 0.25 200 200 500 50000
#> 7: 7 0.01 1000 500 600 100000
#> 8: 8 0.12 250 300 100 5000
#> 9: 9 0.14 1000 500 200 6000
#> 10: 10 0.00 10000 1000 500 1000000
## paramterise elt
elt <- create_elt(raw_elt, ann_rate="rate", mu="mean", sdev_i = "sdevi" , sdev_c = "sdevc", expval = "exp")
## generate a YLT
ylt <- create_ylt(elt, sims=10 ,ann_rate = "rate" , event_id = "id", expval = "exp" , mu ="mean")
ylt
#> Year Loss Event
#> 1: 1 0.000000e+00 None
#> 2: 2 2.963659e+02 5
#> 3: 3 4.353146e-09 6
#> 4: 4 3.086963e+02 8
#> 5: 4 3.337206e+02 3
#> 6: 4 1.429257e-03 2
#> 7: 5 0.000000e+00 None
#> 8: 6 5.525234e+00 3
#> 9: 6 4.838321e+00 8
#> 10: 6 8.642469e+02 7
#> 11: 7 4.338468e+02 3
#> 12: 7 1.357392e+03 2
#> 13: 7 1.317510e+02 1
#> 14: 8 1.204985e+03 5
#> 15: 8 4.033199e+02 8
#> 16: 9 6.361959e-02 6
#> 17: 10 0.000000e+00 None
### calculate AAL and OEP
ann <-ylt[ ,Loss :=sum(Loss) , by=Year]
ep <- create_oep_curve(ann , y= "Year", z="Loss")Hurricane icon icon by Icons8
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.