person(given = "Zuzanna",
family = "Chmielewska",
role = c("aut", "cre"),
email = "zchmielewska@gmail.com",
comment = c(ORCID = "0000-0001-7622-3321"))
Actuarial reports are prepared for the last day of a specific
period, such as a month, a quarter or a year. Actuarial models assume that
certain events happen at the beginning or end of periods. The package
contains functions to easily refer the first or last (working) day
within a specific period relative to a base date to facilitate actuarial
reporting.
Zuzanna Chmielewska [aut, cre]
(<https://orcid.org/0000-0001-7622-3321>)

Actuarial reports are prepared for the last day of a specific
period, such as a month, a quarter or a year. Actuarial models assume that
certain events happen at the beginning or end of periods. The package
contains functions to easily refer to the first or last (working) day
within a specific period relative to a base date to facilitate actuarial
reporting and to compare results.
lubridate, dplyr, magrittr, crayon, purrr

lubridate, dplyr, magrittr, crayon, purrr, tibble

Create Actuarial Experience Studies: Prepare Data, Summarize
Results, and Create Reports
person("Matt", "Heaphy", email = "mattrmattrs@gmail.com", role = c("aut", "cre"))
Experience studies are used by actuaries to explore historical
experience across blocks of business and to inform assumption setting
activities. This package provides functions for preparing data, creating
studies, and beginning assumption development. Experience study methods,
including exposure calculations, are described in: Atkinson & McGarry
(2016) "Experience Study Calculations"
<https://www.soa.org/49378a/globalassets/assets/files/research/experience-study-calculations.pdf>.
The limited fluctuation credibility method used by the 'exp_stats()'
function is described in: Herzog (1999, ISBN:1-56698-374-6)
"Introduction to Credibility Theory".
lubridate, dplyr, ggplot2, tibble, rlang, glue, purrr, scales,
gt, paletteer, RColorBrewer, recipes, generics, shiny (>= 1.6),
bslib, thematic, readr