Package: expstudy 2.0.0.9000

expstudy: Tools for Actuarial Experience Studies

Experiences studies are an integral component of the actuarial control cycle. Regardless of the decrement or policyholder behavior of interest, the analyses conducted is often the same. Ultimately, this package aims to reduce time spent writing the same code used for different experience studies, therefore increasing the time for to uncover new insights inherit within the relevant experience.

Authors:Cody Buehler [aut, cre]

expstudy_2.0.0.9000.tar.gz
expstudy_2.0.0.9000.zip(r-4.5)expstudy_2.0.0.9000.zip(r-4.4)expstudy_2.0.0.9000.zip(r-4.3)
expstudy_2.0.0.9000.tgz(r-4.5-any)expstudy_2.0.0.9000.tgz(r-4.4-any)expstudy_2.0.0.9000.tgz(r-4.3-any)
expstudy_2.0.0.9000.tar.gz(r-4.5-noble)expstudy_2.0.0.9000.tar.gz(r-4.4-noble)
expstudy_2.0.0.9000.tgz(r-4.4-emscripten)expstudy_2.0.0.9000.tgz(r-4.3-emscripten)
expstudy.pdf |expstudy.html
expstudy/json (API)
NEWS

# Install 'expstudy' in R:
install.packages('expstudy', repos = c('https://cb12991.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/cb12991/expstudy/issues

Pkgdown site:https://cb12991.github.io

Datasets:
  • mortexp - Mortality experience study

On CRAN:

Conda-Forge:

actuarialdata-science

2.70 score 1 stars 7 scripts 279 downloads 22 exports 17 dependencies

Last updated 8 months agofrom:4717138fbe. Checks:5 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 25 2025
R-4.5-winNOTEFeb 25 2025
R-4.5-macNOTEFeb 25 2025
R-4.5-linuxNOTEFeb 25 2025
R-4.4-winOKFeb 25 2025
R-4.4-macOKFeb 25 2025
R-4.3-winOKFeb 25 2025
R-4.3-macOKFeb 25 2025

Exports:add_credibilityadd_metricsadd_proportionsae_ratioae_ratio_vecaggregateavg_expectedavg_expected_vecavg_observedavg_observed_vecci_fctrci_fctr_veccompile_resultscompute_fct_adjscredibilitycredibility_vecexpstudyformat_metricsguess_measure_setsmutate_expecvarmutate_metricssummarise_measures

Dependencies:clidata.tabledplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr

Readme and manuals

Help Manual

Help pageTopics
Calculate adjustment factors for an underlying assumptioncompute_fct_adjs
Guess a measure set using regexsguess_measure_sets
Experience study metricsae_ratio ae_ratio_vec avg_expected avg_expected_vec avg_observed avg_observed_vec ci_fctr ci_fctr_vec credibility credibility_vec metrics
Mortality experience studymortexp
Add new expecteds and variances to an experience studymutate_expecvar
Add common metrics to an experience studymutate_metrics
Aggregate an experience studysummarise_measures