A collection of utilities that grew out of day-to-day non-life
actuarial work at Com-PASS Advisory. Provides helpers for building
chain-ladder triangles (cumulative, decumulative, run-off, development
factors with optional weighting), constructing exposure columns from
policy start/end dates, parsing Czech birth numbers ('rodné číslo')
into dates, generating smooth RGB color palettes for charts, and
loading multi-sheet 'xlsx'/'xlsb' files into a list of data frames.
The chain-ladder helpers follow the standard methodology of
Mack (1993)
vitopack is a small toolbox of utilities that grew out of day-to-day
non-life actuarial work at Com-PASS Advisory s.r.o. It collects:
create_policy_exposure_columns_m(), create_policy_exposure_days_columns())..xlsx and .xlsb files.The development version from GitHub:
# install.packages("pak")
pak::pak("Com-PASS-OV/vitopack")
Once on CRAN:
install.packages("vitopack")
library(vitopack)
# Long-form claims data → triangle
df <- data.frame(
origin = c(1, 1, 1, 2, 2, 3),
dev = c(0, 1, 2, 0, 1, 0),
paid = c(10, 5, 2, 20, 7, 15)
)
trg <- create_triangle(df, row_num = "origin", col_num = "dev", value = "paid")
cum <- create_cumulative_triangle(trg)
create_chl_coefs(cum, chl_length = c("full", 2))
# Czech birth number → date
rc_to_birth_day("900615/1234") # 1990-06-15
# Smooth color palette
palette <- get_colors_duo(rgb_colors_for_plot(), 12)
Issues and pull requests are welcome. Please run
devtools::check() and devtools::test() before opening a PR.
MIT © Ondřej Vít